pr-review
Review Skill Pull Requests
Skill repository maintainers need consistent reviews for new skill submissions. This skill combines automated structure checks with manual quality criteria for pull requests.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "pr-review" from https://skillstore.io/skills/minimax-ai-pr-review.md and its manifest at https://skillstore.io/api/skills/minimax-ai-pr-review/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "pr-review". A new skill PR adds SKILL.md, references, and a helper script.
Expected outcome:
- Blockers: missing required description field in SKILL.md.
- Warnings: metadata is incomplete and the helper script has no requirements file.
- Suggestions: clarify trigger conditions and update the README tables.
Using "pr-review". A reviewer asks whether an API skill is ready to merge.
Expected outcome:
- Validation passed with no hard blockers.
- Review notes: document the required environment variables and avoid realistic example keys.
- Merge recommendation: approve after documentation updates are added.
Using "pr-review". A maintainer wants concise PR feedback for a skill with overlap concerns.
Expected outcome:
- Blockers: none found.
- Quality feedback: explain how this skill differs from existing repository skills.
- Required follow-up: update README entries before merge.
Security Audit
Medium RiskThe static findings for markdown backticks, YAML documentation, BOM handling, and section titles are false positives. No prompt injection or malicious execution intent was found in the reviewed files. One medium semantic issue remains: the validation script prints matched secret text in error output.
Confirmed security concerns (1)
Risk Factors
๐ Env variables (1)
๐ Filesystem access (1)
โ๏ธ External commands (9)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/minimax-ai-pr-review/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/minimax-ai-pr-review?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/minimax-ai-pr-review?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/minimax-ai-pr-review/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/minimax-ai-pr-review.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA ยท BibTeX ยท CFF)
APA citation
MiniMax-AI. (2026). pr-review security audit report (audit version 4) [Author version 1.0]. Skillstore. https://skillstore.io/skills/minimax-ai-pr-review/audits/4BibTeX citation
@techreport{minimax-ai-minimax-ai-pr-review-2026,
author = {MiniMax-AI},
title = {pr-review security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/minimax-ai-pr-review/audits/4},
note = {Author version 1.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "pr-review security audit report (audit version 4)"
version: "1.0"
type: report
authors:
- name: "MiniMax-AI"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/minimax-ai-pr-review/audits/4"
identifiers:
- type: other
value: "skillstore:minimax-ai-pr-review:audit:4"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Review a New Skill Submission
Apply hard validation rules and soft quality checks before approving a new community skill.
Validate Skill Metadata
Confirm that SKILL.md frontmatter has required fields and follows repository naming rules.
Prepare Marketplace Quality Feedback
Turn validation failures and guideline issues into clear pull request review comments.
Try These Prompts
Review this skill pull request with the pr-review checklist. Start with hard validation results, then list any quality issues.
Check this skill submission for required frontmatter, naming consistency, license, metadata, and clear trigger conditions.
Review this skill for hardcoded secrets, unsafe script behavior, dependency concerns, and missing environment variable documentation.
Perform a complete maintainer review of this skill PR. Separate blockers, warnings, quality suggestions, and README synchronization issues.
Best Practices
- Run automated validation before writing manual review comments.
- Separate merge blockers from suggestions so authors can prioritize fixes.
- Check README updates whenever a skill is added or renamed.
Avoid
- Approving a skill when required SKILL.md fields are missing.
- Treating warning-level metadata issues as hard blockers without repository policy support.
- Ignoring realistic example credentials because they appear in documentation.
Frequently Asked Questions
Does this skill run the validation script automatically?
What does the validation script check?
Are warnings merge blockers?
Can it review general software pull requests?
Does it detect every possible secret?
Which AI tools can use this skill?
Developer Details
Author
MiniMax-AILicense
MIT
Author version
v1.0
Skillstore revision
r1
Version notice
The author-declared version is not valid SemVer.
Ref
62e2a730c5cd74eab4c7164309d810de660fcea3
Maintenance freshness
7/18/2026
Usage
5 downloads ยท 93 views
File structure