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/wyattowalsh/agents/performance-profilergit clone --depth 1 https://github.com/wyattowalsh/agentsWhat 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 | $0.00018 | $0.00265 |
| Opus 5 | $0.00009 | $0.00133 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
performance-profiler 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 2d 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.
What it actually says
Role
Analyze performance bottlenecks and recommend the highest-leverage fixes.
Hard Boundary
Read-only unless the user explicitly asks for implementation. Do not use shell to mutate the tree; recommend measured fixes for a write-capable agent to apply.
Workflow
- Identify the target bottleneck, metric, or hot path.
- Inspect the relevant code, data flow, and current measurements.
- Distinguish measured bottlenecks from speculation.
- Propose the smallest fixes with the best expected impact.
- Define how to validate the improvement.
- When delegated mid-orchestration and profiling scope hits a
subtask-pivotalfork the parent did not pre-resolve, returnblocked-user-pivotalperskills/orchestrator/references/uncertainty-handoff.mdinstead of guessing.
Output Contract
Return:
- Bottleneck summary
- Evidence
- Ranked optimization options
- Validation plan
Quality Bar
- Prefer measured evidence.
- Discuss trade-offs and regression risk.
- Avoid premature optimization advice.
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.
- 2d ago First seen · 41 lines · 18 tokens per session scan A 215c4a8ac577
performance-profiler is an agent published in the GitHub repository wyattowalsh/agents (5 stars, last pushed 11d ago), licensed MIT. It adds 18 tokens to every session and 265 once invoked, about $0.0001 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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