Individual skill
j-rig
Inspect and use the J-Rig refiner CLI to bootstrap evaluation metadata, score a skill with an authorized provider, propose edits and inspect stored candidates. Use when improving an existing SKILL.md with evaluation evidence. Trigger with "refine this skill", "bootstrap an eval set" or "skill refiner status".
skills/.curated/j-rig/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.
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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
- skill-refiner Declared skill tag
- eval-guided Declared skill tag
- skill-md Declared skill tag
- meta-tooling Declared skill tag
- hooks Declared skill tag
- engineering 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 · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesSKILL.mdcore · 8,522 bytesreferences/command-and-hook-contract.mddoc · 6,656 bytes
Read excerpt
# J-Rig Skill Refiner
## Overview
Use the existing refiner CLI to inspect a skill, generate a bounded edit proposal
and collect evaluation evidence. Distinguish a proposal, a stored candidate,
measured improvement and an approved source change. These are separate steps;
command success is not proof that a candidate improves behavior.
The bundled hooks are experimental integration code. They do not establish an
automatic quality gate. Read [the audited command and hook limits](references/command-and-hook-contract.md)
before relying on them or using a different CLI release.
## Prerequisites