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 ma-compbio-lab/SkillFoundry --skill precommit-regression-testing-startergit clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundryWrote 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/ma-compbio-lab/skillfoundry/precommit-regression-testing-starter)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/precommit-regression-testing-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/precommit-regression-testing-starter/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/ma-compbio-lab/skillfoundry/precommit-regression-testing-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/precommit-regression-testing-starter.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 | $0.00000 | $0.00165 |
| Opus 5 | $0.00000 | $0.00082 |
| Sonnet 5 | $0.00000 | $0.00033 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
precommit-regression-testing-starter 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 5d 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
pre-commit Regression Testing Starter
Use this skill to build a tiny disposable repository and run deterministic local pre-commit hooks as a regression-testing starter.
Run
python3 \
skills/meta-maintenance/precommit-regression-testing-starter/scripts/run_precommit_regression.py \
--workspace scratch/precommit-guard/workspace \
--out scratch/precommit-guard/summary.json
What It Verifies
- a tiny Python module compiles cleanly
- a tiny JSON metadata file passes a local validation hook
- the starter can run
pre-commitend to end inside a disposable workspace
Notes
- This is a starter for the taxonomy leaf
regression-testing. - The temporary repository is self-contained and does not modify the main repository.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 24 lines · 0 tokens per session scan A f624484a9eb4
precommit-regression-testing-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 165 tokens. 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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