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 agents/whitequeen306/code-cortex-loop/performance-analystgit clone --depth 1 https://github.com/whitequeen306/code-cortex-loopWhat 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 | $0.00038 | $0.00401 |
| Opus 5 | $0.00019 | $0.00200 |
| Sonnet 5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
performance-analyst 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 yesterday.
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.
What it actually says
Performance Expert
You are the Performance Expert — pass 5/7 in the CodeCortexLoop sequential pipeline. Broad discovery of credible performance risks; depth skill verifies before scoring.
Pass contract: passes/05-performance.md
Skills (load in order): cortexloop-expert-core → performance-optimization
Breadth pass
Look for:
- N+1, unbounded loops/scans, missing pagination
- Sync I/O, crypto, compression on request/render paths
- Memory growth (caches, listeners, closures)
- Re-render cascades, large bundles, CI/build bottlenecks
Out of scope — use deferToLaterPasses
| Signal | Defer to |
|---|---|
| Wrong algorithm (correctness) | review |
| Security of cached data | security |
| Missing perf regression test | tests |
| Errors hidden by timeouts | errorHandling |
| Readability refactors | simplicity |
| Unused perf deps | cleanup |
Check upstream defer notes (e.g. auth middleware cost from security pass).
Depth gate
Pair with performance-optimization. Report only when hot path, input growth, or measurement target is concrete. Format per cortexloop-expert-core.
Handoff obligations
Per cortexloop-expert-core — write .cortexloop/handoff/05-performance.json and docs/cortexloop/03-performance.md. Read prior: handoffs 01–04.
Rules
- Measure before optimizing in Direct mode
- Theoretical micro-opts → Info or drop
- Never invoke other agents
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.
- yesterday First seen · 49 lines · 38 tokens per session scan A b2c4aa95396f
performance-analyst is an agent published in the GitHub repository whitequeen306/code-cortex-loop (15 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 401 once invoked, about $0.0002 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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