AgentStack
SKILL verified Apache-2.0 Self-run

Code Review

skill-zhouguoqing-qianyuan-aiagenticframework-code-review · by zhouguoqing

Review code for correctness, regressions, security risks, and missing tests.

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Install

$ agentstack add skill-zhouguoqing-qianyuan-aiagenticframework-code-review

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README — it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-zhouguoqing-qianyuan-aiagenticframework-code-review)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Code Review

Use this skill when the user asks for a review, PR check, pre-merge inspection, or risk assessment of code changes.

Instructions

  • Lead with findings, ordered by severity.
  • Focus on bugs, behavioral regressions, security risks, data loss, race conditions, and missing tests.
  • Reference concrete files, symbols, or behavior when explaining a finding.
  • Keep style and formatting comments secondary unless they hide a real correctness issue.
  • If no issues are found, say that clearly and mention any test gaps or residual risk.

Output Shape

Start with findings. Then include open questions or assumptions if needed. Put a short summary after the findings, not before them.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.