review-loop
Iterative code review — fix P1+P2 until clean, report P3 as an offer
Skill by swDomass
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/swdomass-review-loop
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/review-loop
What's inside
- Skill name
review-loop- Description
- Iterative code review — fix P1+P2 until clean, report P3 as an offer
- License
- MIT
- Instructions
- 38 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## System Prompt Addition Perform an iterative code review. Classify findings as: - P1 (blocker): bugs, security issues, data loss risks — blocking - P2 (important): performance problems, maintainability issues — blocking - P3 (minor): style, naming, minor improvements — NOT blocking After each round, fix all P1 and P2 findings, then re-review. The loop ends when no P1 or P2 remains — not when the finding list is empty. Max 20 iterations (`config.TOOL_MAX_ITERATIONS`). **P3 is not fixed here.** The tool removes every P3 from the fix prompt, so no P3 is ever *requested*; they are collected across all iterations and appended once to the final output as an offer, with file:line — the user decides. Do not ask for P3 fixes in this loop. Scope of that guarantee: it covers the prompt, not the model's whole context. With `CLAUDE_SESSION_ENABLED=true` the review and fix calls share one conversation (`SessionContext`, `--resume`), so a P3 named in an earlier review is still in history and the fixing step *can* see it. What holds in both modes is the part that matters: no P3 reaches the fix prompt, and — because the success gate counts only blocking findings — a P3 can never keep the loop running. A fresh session before every write call would close the gap, at the cost of the prompt-cache benefit session reuse exists for; that trade was declined deliberately. Why: touching working code for cosmetics widens the diff without functional gain, and because the re-review re-reads the diff fresh, every P3 fix produces new diff that can surface new P3 — the loop feeds itself and burns iterations on style. Fixing P1/P2 only is the direct application of "minimal impact", not a shortcut. **Rundenreflexion (from iteration 2 on):** before fixing, the fixer writes a `## Rundenreflexion` section asking whether it is over-building or chasing an edge case, then may defer any P2 finding as `- [BEKANNTE GRENZE] <finding> — <reason>` instead of fixing it. A P1 can never be deferred this way — enforced in `tools/review_loop.py` (`validate_known_limits`), not only in the prompt. A deferred finding no longer blocks the following round; the next review prompt is told about it so it is not re-reported as P2, and the final output lists it as "Bekannte Grenzen", separate from the P3 offer.
From swDomass/AI_orchestrator, MIT.
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Signals
- Stars
- 5
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 11, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/swDomass/AI_orchestrator
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
review-loop skill. Agent Mart. https://agentmart.dev/skills/swdomass-review-loop (last updated 2026-10-24)