Individual skill
production-upgrade
Upgrade an existing skill, plugin, agent, MCP integration, or agent-system package to a security-first production standard using pain research, architecture decisions, migration planning, deterministic implementation, adversarial tests, independent review, and revision-bound evidence. Use when modernizing a legacy capability or asking for Databricks-level diligence. Trigger with "production upgrade", "modernize this skill", "bring this pack to production quality", or "audit and rebuild this plugin".
plugins/skill-enhancers/agent-systems-toolkit/skills/production-upgrade/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- production-upgrade Declared skill tag
- modernization Declared skill tag
- security Declared skill tag
- research Declared skill tag
- validation Declared skill tag
- beads Declared skill tag
- security Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 9,400 bytesSKILL.mdcore · 9,400 bytesSKILL.mdcore · 9,400 byteseval-spec.yamlasset · 5,389 bytesreferences/beads-workflow.mddoc · 1,573 bytesreferences/evidence-contract.mddoc · 1,808 bytesreferences/roles/architect.mddoc · 1,004 bytesreferences/roles/implementation-engineer.mddoc · 1,060 bytesreferences/roles/researcher.mddoc · 1,010 bytesreferences/roles/security-adversary.mddoc · 1,311 bytesreferences/roles/verification-engineer.mddoc · 1,029 bytesreferences/runtime-portability.mddoc · 1,875 bytesscripts/audit_evidence.pyruns · 13,454 bytestemplates/decision-record.mddoc · 358 bytestemplates/pain-catalog.mddoc · 514 bytes
Read excerpt
# Production Upgrade
Run a risk-adjusted, evidence-bound modernization from discovery through a
pre-release maintainer checkpoint. The workflow is complete without a specific
model, subagent implementation, or task tracker, but it must honor stronger
project requirements when they exist.
## Overview
The quality bar comes from the Databricks rebuild: understand real operator
pain, decide architecture before implementation, move load-bearing logic into
deterministic code, preserve compatibility intentionally, and prove safety with
negative and adversarial evidence. Match the depth to risk rather than matching
another project's document count.