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auto-review-loop

Autonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it uses Codex, while explicit external reviewer overrides remain available. Implements fixes and re-reviews until a policy-approved positive assessment or max rounds is reached.

48

Quality

55%

Does it follow best practices?

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SecuritybySnyk

Medium

Suggest reviewing before use

Fix and improve this skill with Tessl

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

Security

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

Medium

W013: Attempt to modify system services in skill instructions.

What this means

The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.

Why it was flagged

This skill explicitly instructs the agent to run "root" Bash calls, native host tasks, and remote deployments (marker/challenge and verification steps, copilot/codex execs, SSH deployments), which require elevated privileges and can modify the host state — so it pushes the agent toward privileged actions that can compromise the machine.

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. 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

Skill.md’s runtime reviewer prompts and memory updates ingest free-form text from the project workspace artifacts (e.g., review-stage/REVIEWER_MEMORY.md and the executor-controlled narrative/diffs/raw results), which an outsider can potentially submit via those artifacts before the review is run.

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

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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.