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 fairlearn-bias-audit-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/fairlearn-bias-audit-starter)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/fairlearn-bias-audit-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/fairlearn-bias-audit-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/fairlearn-bias-audit-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/fairlearn-bias-audit-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 | $0.00275 |
| Opus 5 | $0.00000 | $0.00138 |
| Sonnet 5 | $0.00000 | $0.00055 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
fairlearn-bias-audit-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 10d 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
Fairlearn Bias Audit Starter
Use this skill to run a deterministic group fairness audit over a tiny clinical toy cohort with fairlearn.
What it does
- Loads a fixed tabular cohort with binary labels, binary predictions, and a sensitive group column.
- Computes per-group accuracy, selection rate, true positive rate, and false positive rate with
MetricFrame. - Summarizes demographic parity and equalized odds gaps and ratios.
- Emits a compact JSON report and threshold-based audit flags for local debugging.
When to use it
- You need a local starter for fairness or bias analysis in binary clinical risk models.
- You want a small, reproducible example before auditing a real cohort.
Example
slurm/envs/statistics/bin/python skills/clinical-biomedical-data-science/fairlearn-bias-audit-starter/scripts/run_fairlearn_bias_audit.py \
--input skills/clinical-biomedical-data-science/fairlearn-bias-audit-starter/examples/toy_fairness_cohort.tsv \
--summary-out scratch/fairlearn/fairness_audit_summary.json
Verification
- Skill-local tests:
python3 -m unittest discover -s skills/clinical-biomedical-data-science/fairlearn-bias-audit-starter/tests -p 'test_*.py'
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.
- 10d ago First seen · 28 lines · 0 tokens per session scan A 26b1e2aa06b1
fairlearn-bias-audit-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (39 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 275 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 2026-08-30.
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