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/mimfort/rag_for_git/performance-reviewnpx skills add mimfort/rag_for_git --skill performance-reviewgit clone --depth 1 https://github.com/mimfort/rag_for_gitWrote 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/mimfort/rag_for_git/performance-review)<a href="https://agentmods.dev/skills/mimfort/rag_for_git/performance-review"><img src="https://agentmods.dev/badge/skills/mimfort/rag_for_git/performance-review.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 | $0.00054 | $0.00565 |
| Opus 5 | $0.00027 | $0.00282 |
| Sonnet 5 | $0.00011 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
performance-review 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Review
In rag-reviewer:review-pr use the PR-session tools above. Standalone (no PR session): use
the session-less tools per the reviewer-grounding block when reviewer is connected and the
index is fresh; otherwise fall back to grep/Read.
Goal
Look only for performance and efficiency risks in the selected changes. Ignore style, architecture, tests, and general correctness unless they materially affect performance.
Prioritize findings such as:
- N+1 queries and repeated remote calls;
- unnecessary loops or repeated work;
- bad asymptotic behavior on hot paths;
- redundant rendering, serialization, parsing, allocations, or avoidable copies;
- missing batching, caching, pagination, or streaming where the diff makes that risk likely;
- blocking I/O or CPU-heavy work on latency-sensitive paths;
- memory growth or large payload handling.
Method
- Read the diff first.
- Open only the nearby code needed to understand whether the changed path is
performance-sensitive. In
rag-reviewer:review-pruse the reviewer MCP tools:read_file,search_code,find_callers. - Prefer concrete findings over vague perf speculation.
- If a concern depends on an assumption, state that assumption explicitly.
- If a path is probably not performance-sensitive, do not invent issues.
Severity
critical/high: likely severe latency, throughput, or resource regression on an important path.medium: meaningful inefficiency or scaling risk that should probably be fixed.low: worthwhile optimization or preventive note, not a blocker.
Output
Return only actionable findings.
Return ONLY the findings JSON used by the review pipeline, with
"category": "performance":
- Calibrate
confidenceagainst a measurable, reproducible effect: a hot path you can point to (loop bound, query inside a loop) → 0.8+; a plausible but data-dependent cost → 0.5–0.7; no measurable/reproducible effect → ≤ 0.4 (drop). Set "category" to "performance"; "side" is always "RIGHT".
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 · 63 lines · 54 tokens per session scan A 02304535d482
performance-review is a skill published in the GitHub repository mimfort/rag_for_git (21 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 565 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 2026-08-30.
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