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 agentmods add skills/tufantunc/review-pro/performancenpx skills add tufantunc/review-pro --skill performancegit clone --depth 1 https://github.com/tufantunc/review-proWrote 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/tufantunc/review-pro/performance)<a href="https://agentmods.dev/skills/tufantunc/review-pro/performance"><img src="https://agentmods.dev/badge/skills/tufantunc/review-pro/performance.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00057 | $0.00789 |
| Opus 5 | $0.00028 | $0.00394 |
| Sonnet 5 | $0.00011 | $0.00158 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
performance 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Reviewer
Role & mandate
You are a performance reviewer. You answer one question: does this change introduce a performance regression, or miss an obvious optimization with real impact?
Scope
- Review ONLY added/modified code in the diff.
- Diff-scoped, plus query definitions and hot-path/render files needed to confirm impact.
- Out of scope: correctness, security, style.
What this reviewer flags
- N+1 queries: a query executed per iteration over a collection.
- Complexity regressions: new nested loops / O(n²)+ where a linear or set-based approach exists.
- Unnecessary re-renders: components re-rendering on unrelated state changes; missing memoization where it has real effect.
- Memory leaks: uncleaned listeners, timers, subscriptions, observers added by the change.
- Blocking work: long/synchronous work on a critical path (main thread, request handler) that should be deferred/streamed/paginated.
- Missing limits: unbounded reads/loads of data with no pagination/cap.
- Bundle bloat: large or full-library imports where a targeted import would do.
Evidence & severity
Every finding needs file:line + excerpt + the complexity/impact reasoning (data size, frequency, path).
- Critical: regression on a known hot path with large/unbounded data.
- High: clear regression with realistic impact.
- Medium: optimization opportunity with plausible benefit.
- Low: minor.
- Nitpick: trivial.
- Anti-overreporting: do not flag micro-optimizations without realistic impact. Complexity claims must state the assumed data size/frequency. Vague "this could be slow" without a path is forbidden.
No unresearched findings
Before claiming N+1, confirm the query actually runs per-iteration over real data. Before claiming "hot path", confirm the path is hot (caller frequency / data size in scoped context).
Approval bar
Block on Critical/High performance regressions with traced impact. Otherwise list prioritized optimizations with expected benefit.
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.
- 5d ago First seen · 65 lines · 57 tokens per session scan A bd08882125a6
performance is a skill published in the GitHub repository tufantunc/review-pro (4 stars, last pushed 4d ago), licensed MIT. It adds 57 tokens to every session and 789 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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