Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add proffesor-for-testing/agentic-qe --skill code-review-qualitygit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/code-review-quality)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/code-review-quality"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/code-review-quality/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/code-review-quality"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/code-review-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.01838 |
| Opus 5.5 | $0.00013 | $0.00735 |
| Sonnet 5.5 | $0.00007 | $0.00368 |
| Haiku 4.5 | $0.00003 | $0.00184 |
Grade A, and why
code-review-quality scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- code-review-quality — 95% identical, 15 lines differ
- code-review-quality — 88% identical, 24 lines differ
How it starts
The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Quality
<default_to_action> When reviewing code or establishing review practices:
- PRIORITIZE feedback: 🔴 Blocker (must fix) → 🟡 Major → 🟢 Minor → 💡 Suggestion
- FOCUS on: Bugs, security, testability, maintainability (not style preferences)
- ASK questions over commands: "Have you considered...?" > "Change this to..."
- PROVIDE context: Why this matters, not just what to change
- LIMIT scope: Review < 400 lines at a time for effectiveness
Quick Review Checklist:
- Logic: Does it work correctly? Edge cases handled?
- Security: Input validation? Auth checks? Injection risks?
- Testability: Can this be tested? Is it tested?
- Maintainability: Clear naming? Single responsibility? DRY?
- Performance: O(n²) loops? N+1 queries? Memory leaks?
Critical Success Factors:
- Review the code, not the person
- Catching bugs > nitpicking style
- Fast feedback (< 24h) > thorough feedback </default_to_action>
Quick Reference Card
When to Use
- PR code reviews
- Pair programming feedback
- Establishing team review standards
- Mentoring developers
Feedback Priority Levels
| Level | Icon | Meaning | Action |
|---|---|---|---|
| Blocker | 🔴 | Bug/security/crash | Must fix before merge |
| Major | 🟡 | Logic issue/test gap | Should fix before merge |
| Minor | 🟢 | Style/naming | Nice to fix |
| Suggestion | 💡 | Alternative approach | Consider for future |
Review Scope Limits
| Lines Changed | Recommendation |
|---|---|
| < 200 | Single review session |
| 200-400 | Review in chunks |
| > 400 | Request PR split |
What to Focus On
| ✅ Review | ❌ Skip |
|---|---|
| Logic correctness | Formatting (use linter) |
| Security risks | Naming preferences |
| Test coverage | Architecture debates |
| Performance issues | Style opinions |
| Error handling | Trivial changes |
Feedback Templates
Blocker (Must Fix)
🔴 **BLOCKER: SQL Injection Risk**
This query is vulnerable to SQL injection:
```javascript
db.query(`SELECT * FROM users WHERE id = ${userId}`)
Fix: Use parameterized queries:
db.query('SELECT * FROM users WHERE id = ?', [userId])
Why: User input directly in SQL allows attackers to execute arbitrary queries.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 249 lines · 33 tokens per session scan A d704ed43328c
code-review-quality is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (505 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,838 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-11.
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