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auto-review-loop-llm

Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".

53

Quality

60%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/skills-codex/auto-review-loop-llm/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

2 low severity findings. Worth noting, but not necessarily harmful.

Low

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

The skill’s Phase E explicitly appends the **reviewer’s raw response** (which is generated from the external LLM/MCP server) into `review-stage/AUTO_REVIEW.md` and also uses that response for parsing in Phase B; this is **outsider-authored free text** coming from the external reviewer/LLM runtime path (`mcp__llm-chat__chat` → raw response → saved/pasted into LLM context on later rounds via “Previous Review Summary”/included context).

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Low

W012: Unverifiable external dependency detected (runtime URL that controls agent).

What this means

The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.

Why it was flagged

The skill performs runtime calls to the LLM endpoint pattern "${LLM_BASE_URL}/chat/completions" (e.g., https://api.deepseek.com/v1 or https://api.openai.com/v1) via curl/MCP to fetch reviewer responses which are saved verbatim and whose score/verdict/action items directly control the agent's next actions and loop behavior, so this external content directly controls prompts/execution.

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

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