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 skills add berkcangumusisik/claude-code-practices --skill test-perfgit clone --depth 1 https://github.com/berkcangumusisik/claude-code-practicesWrote 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/skills/berkcangumusisik/claude-code-practices/test-perf)<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/test-perf"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/test-perf/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/test-perf"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/test-perf.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00014 | $0.00235 |
| Opus 5 | $0.00007 | $0.00118 |
| Sonnet 5 | $0.00003 | $0.00047 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
test-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 6d 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
Generate Performance Tests
Target: $ARGUMENTS
-
Read the target file and understand what to benchmark.
-
Detect available tools:
cat package.json | grep -E "vitest|jest|benchmark|autocannon|k6"
-
Write benchmarks that measure:
- Execution time under normal load
- Memory allocation
- Degradation under large inputs (10x, 100x, 1000x)
- Comparison: current implementation vs a naive baseline
-
For HTTP endpoints: generate a load test script (autocannon or k6).
-
Add a performance budget comment:
// Expected: < 10ms for typical input
// Regression threshold: fail if > 50ms
- Place benchmark file in
bench/or__benchmarks__/following project conventions.
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.
- 6d ago First seen · 36 lines · 14 tokens per session scan A 1494693423d9
test-perf is a skill published in the GitHub repository berkcangumusisik/claude-code-practices (10 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 235 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 2026-09-03.
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