pr-loop
pr-loop is a Review feedback & PR process skill for AI agents, published by superserve-ai in the superserve repository on GitHub. Skillspace rates pr-loop F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Shepherd open pull requests toward merge without a human watching them. Discover open PRs, review each new commit against a calibrated rubric, run the project's own checks as a verifier, post one concise signed review, and escalate anything risky to a human. NEVER merges, force-pushes, or edits CI. Runs headless inside a warm sandbox, one tick per PR code change.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 413
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- prompt-injection: ignore-previous
- exfiltration language
- references sensitive credential env
- accesses sensitive system files
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.