Individual skill
skill-doctor
Use when a user wants agent setup graded from conversation history. Not for skill fixing: use agent-surface-forge. Not for security scanning: use skill-scanner.
.devin/skills/skill-doctor/SKILL.md
Source commit b0e8ce89a19fac880251dc3ea1babfeb4503a4fe
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 4, 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)
- 55
- Repository last updated
- Sep 28, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- odd Repository topic
- odin Repository topic
- outline Repository topic
- outlines Repository topic
- coding-paradigm Repository topic
- outline-driven-development Repository topic
- claude-plugins Repository topic
- codex-cli Repository topic
- gemini-cli-extensions Repository topic
- outline-driven Repository topic
- security Derived category
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SKILL.mdcore · 8,290 bytesagents/openai.yamlasset · 133 bytes
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# Skill doctor
## Contract
| Field | Bound contract |
|---|---|
| Trigger | User wants agent setup graded from conversation history. |
| Authority | Reversible local: writes only to a scratch report directory under the current working tree; rollback is deleting that directory. No remote mutation. |
| Side effect | Creates one scratch report directory containing report.html and supporting assets. Never modifies real skill files, configuration, or conversation history. |
| Done | report.html exists in the scratch directory and renders a normalized 0-10 efficiency score, a normalized 0-10 code quality score (or N/A when the session has no code changes), per-turn findings with evidence citations (or no findings when every scored sub-score is at maximum), and ranked improvement suggestions (or none when every scored sub-score is at maximum). |
## Inputs
1. **Conversation history**: a session transcript from the current agent harness. Accept one of: