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 commands/jdanigo/hydraia/perfgit clone --depth 1 https://github.com/jdanigo/hydraiaWhat 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 | $0.00022 | $0.00183 |
| Opus 5 | $0.00011 | $0.00092 |
| Sonnet 5 | $0.00004 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
perf 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
Invoke the hydraia skill forcing the Phase -1 route to performance. Follow the performance-tuning skill: express the symptom as a metric, establish a measured baseline BEFORE any analysis (if measurement is impossible, deliver the measurement plan and stop), dispatch the perf-engineer agent for profile-driven diagnosis (and db-performance-tuner when findings are DB-shaped), write the spec with baseline + numeric target + chosen and rejected hypotheses, then run the full pipeline: plan, execute one isolated change per task, double review, and verify by RE-MEASURING with the baseline commands against the target.
Request: $ARGUMENTS
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 · 9 lines · 22 tokens per session scan A e3cafbe2b975
perf is a command published in the GitHub repository jdanigo/hydraia (8 stars, last pushed 13d ago), licensed MIT. It adds 22 tokens to every session and 183 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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