Scan reports · wanshuiyin/Auto-claude-code-research-in-sleep
auto-review-loop-llm: scan report
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". An automated scan of this public skill from wanshuiyin/Auto-claude-code-research-in-sleep: security, token cost, spec and clarity, with every finding and its fix.
Result
Verdict
96/100 · grade A
wanshuiyin/Auto-claude-code-research-in-sleep/skills/auto-review-loop-llm at 43a5daf
Spec 21 · Efficiency 25 · Clarity 25 · Security 25 (each out of 25)
Always loaded 51 tokens · on trigger 1,950 · on demand 0
spec/non-portable-keyswarn · SKILL.mdNon-spec frontmatter (argument-hint). claude.ai and the Skills API reject the upload; move them under `metadata` or drop them.
Where it comes from
Source
| Fact | Value |
|---|---|
| Repository | wanshuiyin/Auto-claude-code-research-in-sleep |
| Skill folder | skills/auto-review-loop-llm |
| Stars | 17,701 |
| License | MIT |
| Commit scanned | 43a5daf |
| Scanned | 2026-10-19 |
| Files | 1 |
ProSkills doesn't host or redistribute this skill. Get it from its repository, and check the license before reusing it. Something wrong here? Open an issue for a rescan or removal.
For maintainers
Badge for the README
If you maintain this skill, this badge shows its score and links to this report. Fix findings and the score moves with the next scan.
[](https://proskills.dev/reports/wanshuiyin-auto-review-loop-llm)
Alternatives
Scanned alternatives on ProSkills
Skills in the ProSkills catalog that cover similar ground. Every one passes the same scanner before it ships.
- MCP BuilderA small, safe MCP server for your internal API.Loads when the user builds or fixes an MCP server.5 rules · Agent OpsScan 100$12
- Security ReviewExploit sketch, severity and fix for each finding.Loads when the change touches auth, user input, outbound requests, secrets or an LLM feature.5 rules · Code ReviewScan 100$12
- TDD LoopOne red, the least green, a refactor, a commit. Repeat.Loads when the user wants a feature or fix driven by tests, one slice at a time.5 rules · Code ReviewScan 100$9
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- auto-paper-improvement-loopGrade D60/100
- auto-review-loopGrade F50/100
- auto-review-loop-minimaxGrade B85/100
- citation-auditGrade C70/100
- citation-crosscheckGrade C74/100
- claims-draftingGrade B80/100
- comm-lit-reviewGrade A100/100
- deepxivGrade A96/100
FAQ
Questions
- Is auto-review-loop-llm safe to install?
- No known risky patterns found. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.
- How was this score calculated?
- Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.
- Is this report current?
- It was made from commit 43a5daf on 2026-10-19. If the skill has changed since, paste the new version into the scanner for a fresh score.
- I wrote this skill. Can I fix the score or have the page removed?
- Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.
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