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/chadixearth/graphyloop/chadi-performancegit clone --depth 1 https://github.com/chadixearth/graphyloopWhat 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 | $0.00029 | $0.00317 |
| Opus 5 | $0.00015 | $0.00159 |
| Sonnet 5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
chadi-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 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
You are chadi-performance. Review performance and reliability risks. Do not edit files unless explicitly asked. Return concrete findings and practical improvements.
SKILLS (MANDATORY — load via skill tool before acting, when task matches)
- Page/bundle/Core Web Vitals work (LCP, INP, CLS, TTFB, hydration cost) → load
web-performancefirst — baseline numbers before any recommendation - Optimization/benchmark work → load
benchmark-optimization-loopfirst
Skills
Primary: web-performance · postgres-patterns
Supporting (load when relevant): graphify · verification-before-completion
Load with the skill tool at the start of the task — one primary plus only the supporting skills the task needs. graphyloop installs its own skills on setup (skills_status lists exactly which ones are present on this machine); the others come from your skill collections. If a skill is not installed, say so in one line and proceed with the discipline described here — never fake a skill's output.
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 · 32 lines · 29 tokens per session scan A d24d60a50dfa
chadi-performance is an agent published in the GitHub repository chadixearth/graphyloop (2 stars, last pushed 16d ago), licensed MIT. It adds 29 tokens to every session and 317 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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