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AIops-tools/MinIO-AIops

Governed AI-ops for MinIO object storage: capacity & usage RCA, bucket exposure audit, lifecycle/ILM

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git clone --filter=blob:none --no-checkout https://github.com/AIops-tools/MinIO-AIops.git .hotskills/aiops-tools-minio-aiops && git -C .hotskills/aiops-tools-minio-aiops checkout --detach 9411f42cc49e75c0879c1ab53b18074cbad7523e # Copy each selected skill directory from .hotskills/aiops-tools-minio-aiops into .claude/skills/<skill-name>/
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Individual skills in this repository

How it works

minio-aiops

When your agent uses it

Use this skill whenever the user needs to operate or diagnose MinIO object storage — explain why the cluster is filling up or refusing writes (capacity_rca), find publicly exposed buckets and hygiene gaps (bucket_exposure_audit), find storage that lifecycle/ILM should be reclaiming but isn't, including noncurrent versions and incomplete multipart uploads (lifecycle_gap_analysis), check heal backlog and erasure-set write-quorum risk (healing_health), read service health / cluster status / per-bucket config (policy, versioning, lifecycle, encryption, quota, tags) — plus governed writes (set or delete bucket policy, enable/suspend versioning, set or delete lifecycle rules, set bucket quota, purge incomplete uploads, delete an empty bucket). Always use this skill for "minio health", "why is my object storage full", "which bucket is biggest", "is any bucket public / anonymous access", "versioning / noncurrent versions piling up", "incomplete multipart uploads", "lifecycle / ILM rules", "bucket quota", "erasure set / drive failure tolerance", "healing backlog", or "delete a bucket safely" when the context is a MinIO deployment. Do NOT use when the target is not MinIO — for Ceph/RGW use ceph-aiops; for TrueNAS storage use truenas-aiops; for a hypervisor, backup product, container cluster, or network device route to the appropriate other AIops-tools skill (negative routing hint only). Common MinIO ops with a built-in governance harness (audit, policy, token budget, undo, risk-tiers).

What it loads into context

Frontmatter

1,131 tokens

Always available to the agent

SKILL.md

4,390 tokens

When the skill is activated

Reference documents

5,237 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. What This Skill Does
  2. Quick Install
  3. When to Use This Skill
  4. Related Skills — Skill Routing
  5. Common Workflows
  6. Governance & Safety
  7. References

Files

  • ../../.claude-plugin/plugin.jsonasset608 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • SKILL.mdcore18,390 bytes
  • references/agent-guardrails.mddoc6,738 bytes
  • references/capabilities.mddoc7,401 bytes
  • references/cli-reference.mddoc3,217 bytes
  • references/setup-guide.mddoc3,627 bytes
Read SKILL.md

# MinIO AIops

> **Audit availability:** Real writes require a durable audit intent. Reads and previews can continue if audit storage fails; check the warning and audit health before relying on their audit trail.

> **Disclaimer**: Community-maintained open-source project, **not affiliated with, endorsed by, or sponsored by MinIO, Inc. or any storage vendor.** Product and trademark names belong to their owners. Source at [github.com/AIops-tools/MinIO-AIops](https://github.com/AIops-tools/MinIO-AIops) under the MIT license.

Governed MinIO object-storage operations — **48 MCP tools**, every one wrapped with the bundled `@governed_tool` harness: a local unified audit log under `~/.minio-aiops/`, a token/runaway budget guard, undo-token recording, and a descriptive risk tier on every audit row. The secret key is stored **encrypted** (`~/.minio-aiops/secrets.enc`, Fernet + scrypt) — never plaintext on disk. Six flagship analyses turn raw state into plain-language **cause + suggested action**: `capacity_rca`, `bucket_exposure_audit`, `lifecycle_gap_analysis`, `healing_health`, `diagnose_retention_gaps`, `diagnose_iam_exposure`.

> **Standalone**: the governance harness is bundled in the package (`minio_aiops.governance`) — minio-aiops has no external skill-family dependency. Verification status and the live-run checklist are in `docs/VERIFICATION.md`.

> **Authorization is not this tool's job**: whether a write is permitted is the agent's judgement or the permission of the access key you connect with (a read-only IAM policy makes writes fail at the server). There is no read-only switch, policy file, or approval gate — the guarantee is that every call is audited. Driving this with a smaller / local model? See `references/agent-guardrails.md`.

## What This Skill Does
View the complete source on GitHub

Skills included

  • minio-aiops

Repository facts

License
MIT
Created
Jul 17, 2026
Last pushed
Oct 30, 2026
Forks
0
Open issues
0
Project activity
Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 4, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 8 notes
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • skills/minio-aiops/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 22 signals by file

.claude-plugin/plugin.json

  • Network accessline 1
    {   "$schema": "https://anthropic.com/claude-code/plugin.schema.json",
  • Network accessline 2
    "$schema": "https://anthropic.com/claude-code/plugin.schema.json",
  • Network accessline 8
    "name": "Wei Zhou",     "email": "zhouwei008@gmail.com",     "url": "https://github.com/AIops-tools"
  • Network accessline 9
    "email": "zhouwei008@gmail.com",     "url": "https://github.com/AIops-tools"   },
  • Network accessline 10
    "url": "https://github.com/AIops-tools"
  • Network accessline 11
    },   "homepage": "https://github.com/AIops-tools/MinIO-AIops",   "repository": "https://github.com/AIops-tools/MinIO-AIops",
  • Network accessline 12
    "homepage": "https://github.com/AIops-tools/MinIO-AIops",
  • Network accessline 13
    "repository": "https://github.com/AIops-tools/MinIO-AIops",

skills/minio-aiops/SKILL.md

  • Broad permissionsline 1
    Bash
  • Network accessline 5
    summary: "Governed MinIO ops: capacity RCA, exposure audit, ILM, WORM retention, IAM, healing, 48 tools." license: MIT homepage: https://github.com/AIops-tools/MinIO-AIops
  • Network accessline 6
    license: MIT homepage: https://github.com/AIops-tools/MinIO-AIops tags: [aiops, mcp, governance, minio]
  • Network accessline 7
    homepage: https://github.com/AIops-tools/MinIO-AIops
  • Network accessline 18
    allowed-tools:   - Bash metadata: {"openclaw":{"requires":{"anyBins":["minio-aiops","uvx"]},"optional":{"env":["MINIO_AIOPS_CONFIG","MINIO_AIOPS_MASTER_PASSWORD"]},"homepage":"https://github.com/AIops-tools/MinIO-AIops","emoji":"🪣","os":["m
  • Network accessline 19
    - Bash metadata: {"openclaw":{"requires":{"anyBins":["minio-aiops","uvx"]},"optional":{"env":["MINIO_AIOPS_CONFIG","MINIO_AIOPS_MASTER_PASSWORD"]},"homepage":"https://github.com/AIops-tools/MinIO-AIops","emoji":"🪣","os":["macos","linux"]}}
  • Network accessline 20
    metadata: {"openclaw":{"requires":{"anyBins":["minio-aiops","uvx"]},"optional":{"env":["MINIO_AIOPS_CONFIG","MINIO_AIOPS_MASTER_PASSWORD"]},"homepage":"https://github.com/AIops-tools/MinIO-AIops","emoji":"🪣","os":["macos","linux"]}}
  • Access to secretsline 24
    [Credential-related source omitted]
  • Network accessline 36
    > **Disclaimer**: Community-maintained open-source project, **not affiliated with, endorsed by, or sponsored by MinIO, Inc. or any storage vendor.** Product and trademark names belong to their owners. Source at [github.com/AIops-tools/MinIO

skills/minio-aiops/references/agent-guardrails.md

  • Network accessline 114
    Feedback on running this with a specific local model is genuinely useful — open an issue at [github.com/AIops-tools/MinIO-AIops](https://github.com/AIops-tools/MinIO-AIops/issues)
  • Network accessline 115
    open an issue at [github.com/AIops-tools/MinIO-AIops](https://github.com/AIops-tools/MinIO-AIops/issues) with the model, runtime, and what went wrong.
  • Network accessline 116
    [github.com/AIops-tools/MinIO-AIops](https://github.com/AIops-tools/MinIO-AIops/issues)

skills/minio-aiops/references/cli-reference.md

  • Dangerous shell operationline 21
    minio-aiops secret rm <target>
  • Access to secretsline 22
    [Credential-related source omitted]

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.

Signal confidence: 14 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeNativeManifest .claude-plugin/plugin.json.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md skills/minio-aiops/SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md skills/minio-aiops/SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md skills/minio-aiops/SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md skills/minio-aiops/SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md skills/minio-aiops/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.

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