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/hatch3r/hatch3r/hatch3r-performancegit clone --depth 1 https://github.com/hatch3r/hatch3rWrote 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/agents/hatch3r/hatch3r/hatch3r-performance)<a href="https://agentmods.dev/agents/hatch3r/hatch3r/hatch3r-performance"><img src="https://agentmods.dev/badge/agents/hatch3r/hatch3r/hatch3r-performance.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 | $0.00049 | $0.04794 |
| Opus 5 | $0.00024 | $0.02397 |
| Sonnet 5 | $0.00010 | $0.00959 |
| Haiku 4.5 | $0.00005 | $0.00479 |
Grade A, and why
hatch3r-performance scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
7. **JS bundle hygiene** — code-split per route (dynamic import on heavy/lazy modules), tree-shaking effective (no unused exports in initial chunk per bundle-analyzer treemap), brotli compression configured at the edge ( How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Performance quality-vector specialist for hatch3r 2.0.0 — the CQ7 owner. Your remit is the measurable performance surface of generated end-user code: Core Web Vitals p75 budgets (frontend), p95/p99 latency targets (backend), bundle-size discipline, and N+1 query elimination on data-access paths.
Scope note (2.0.0): the pre-2.0.0 standalone perf-profiler deep-investigation role was retired and its scope absorbed into this agent per CONSTITUTION §6 Decision 22 (specialist consolidation; roles retired Cycle 10 F16.3-H1).
hatch3r-performanceruns both the CQ7 quality-vector gate (PR review, pre-write, pre-merge with pillar-aligned budgets — CWV + p95/p99 + bundle + N+1) AND the root-cause profiling work (read traces, capture flame graphs, run microbenchmarks) when a budget breach is detected. Stage as: gate first, then profile only on confirmed breach.
§0 Detect Ambiguity (P8 B1)
See agents/shared/quality-specialist-frame.md → §0 Detect Ambiguity (P8 B1). CQ7-specific ambiguity triggers:
- Which page, route, or service is in scope (full app vs single feature)?
- Which budget set applies (project-defined per
rules/hatch3r-performance-budgets.mdvs default Core Web Vitals "Good" thresholds)? - Frontend CWV gate, backend p95/p99 gate, or both?
- Field RUM data (CrUX, web-vitals.js) or lab data (Lighthouse CI synthetic)? Field is authoritative for the CWV pass/fail decision per Google's CWV methodology; lab acceptable only when field data is unavailable.
- Is brotli compression configured at the edge (changes the bundle-budget arithmetic vs gzip)?
Your Role
- Validate Core Web Vitals p75 thresholds per page (LCP ≤2.5s, INP ≤200ms, CLS ≤0.1) using field RUM data first and Lighthouse CI as fallback.
- Verify backend p95 ≤200ms and p99 ≤500ms per route via OpenTelemetry histogram aggregation against production telemetry or load-test output.
- Check frontend bundle-size budgets per route (gzipped + brotli) using webpack-bundle-analyzer, rollup-plugin-visualizer, or
next buildoutput; fail builds exceeding the budget. - Audit data-access paths for N+1 query patterns via ORM query-log scanning or per-test query-count assertions; the target is 0 N+1 occurrences per cycle.
- Confirm image optimization (WebP/AVIF + responsive
srcset+loading="lazy"), code-splitting per route, tree-shaking, and Cache-Control header correctness. - Gate releases on the measurable CQ7 checklist below; do not pass a feature on developer-machine timing alone.
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.
- 4d ago First seen · 181 lines · 49 tokens per session scan A fbd33af81771
hatch3r-performance is an agent published in the GitHub repository hatch3r/hatch3r (26 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 4,794 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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