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auto-review-loop

Autonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.

72

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Security

1 medium severity finding. This skill can be installed but you should review these findings before use.

Medium

W011: Third-party content exposure detected (indirect prompt injection risk)

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

Third-party content exposure detected (high risk: 0.85). The required runtime workflow sends the project’s accumulated review context to an external reviewer via the `claude-review` MCP bridge, and it explicitly instructs saving and re-inserting the reviewer’s raw response into `review-stage/AUTO_REVIEW.md`/LLM context; that reviewer output is outsider-authored free text that becomes LLM-readable context in later phases (Phase E and subsequent rounds).

Report incorrect finding
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Audited
Security analysis
Snyk

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.