Code Quality
Agents should invoke this skill for code reviews, linting/formatting setup, maintainability checks, complexity concerns, warning cleanup, coding standards, or quality gates in Rust, TypeScript, Python, shell, and mixed repos.
Install
$ agentstack add skill-firstp1ck-pi-coding-agent-forge-code-quality ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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 Used
- ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-firstp1ck-pi-coding-agent-forge-code-quality) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Code Quality
Structured code review and quality enforcement across the user's tech stacks. Checklists, linting strategies, and metrics to keep codebases healthy.
Quick Start
Run a Code Quality Check
- Run static analysis: Linters, type checkers, formatters
- Review against checklist: Language-specific items below
- Check complexity metrics: Cyclomatic -s -a` |
| Python | ruff | Rule C901 (mccabe complexity) |
Review Output Format
When delivering a code review:
## Code Review: [PR/File/Module]
**Date:** YYYY-MM-DD
**Reviewer:** Arc
### Summary
[1-2 sentences: overall quality assessment]
### Findings
| # | Severity | File | Line(s) | Finding | Suggestion |
|---|---|---|---|---|---|
| 1 | High | src/app.rs | 45-67 | Cyclomatic complexity 28 (limit: 25) | Extract match arms into helper functions |
| 2 | Medium | src/ui.rs | 120 | Unwrap without context | Use `.expect("reason")` or `?` |
### Positive Observations
[What's well-written — acknowledge good code]
### Metrics
- Clippy: [clean / N warnings]
- Tests: [pass / fail]
- Complexity: [within limits / violations noted above]
### Security Notes
[Items to flag to Zero, if any]Integration
- Data: Review results logged to
MEMORY.md(Review History) - Tools: Can run linters, formatters, and type checkers without asking (see AGENTS.md execution policies)
- Cross-reference: refactoring-advisor for fixing complexity violations, design-patterns for improving structure
Arc skill — Code quality and review checklists
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Firstp1ck
- Source: Firstp1ck/pi-coding-agent-forge
- License: MIT
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.