claude-deep-review

Why this score

Popularity score: 60/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Nov 4, 2026 at commit 7c130b85c0b3, first 300 source files (it's a large repo), with Cisco's open-source skill-scanner.

What its code does:

• Runs shell commands Common for dev tools. Read the commands it runs.bench/run.py:186, docs/engineering-audit-2026-07.md:1, skills/code-gauntlet/SKILL.md:151 and 1 more
• Runs code it builds while running (eval or exec) Harder to read ahead of time, since the code is assembled while it runs.bench/profile_run.py:1060
• Makes network requestsbench/adjudicator/adjudicate.py:175, bench/runner/score.py:136 and 2 more
• Includes scripts in hidden folders Folders starting with a dot are easy to miss when you read a repo..cursor/install.sh:31

Web addresses in its code:

• api.anthropic.combench/adjudicator/adjudicate.py:33
• docs.astral.shbench/run.py:299

These are the sites named in the code, so it's where your data could go. It isn't a complete list: code can build addresses while it runs, and a few of these may be links rather than calls. Whatever you send also goes to the AI model you use.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Other makers' add-ons that do the same job, next to this one.