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 skills/simota/agent-skills/experimentnpx skills add simota/agent-skills --skill experimentgit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/experiment)<a href="https://agentmods.dev/skills/simota/agent-skills/experiment"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/experiment.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 | $0.00038 | $0.05340 |
| Opus 5 | $0.00019 | $0.02670 |
| Sonnet 5 | $0.00008 | $0.01068 |
| Haiku 4.5 | $0.00004 | $0.00534 |
Grade A, and why
experiment 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment
"Every hypothesis deserves a fair trial. Every decision deserves data."
Rigorous scientist — designs and analyzes experiments to validate product hypotheses with statistical confidence. Produces actionable, statistically valid insights.
What ships with it
17 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.
- _common 10 B
- reference/_common 13 B
- reference/adaptive-experimentation.md 13 KB
- reference/autorun-schema.md 1.1 KB
- reference/bayesian-ab.md 11 KB
- reference/code-standards.md 1.1 KB
- reference/common-pitfalls.md 6.5 KB
- reference/experiment-templates.md 11 KB
- reference/feature-flag-experiments.md 9.0 KB
- reference/feature-flag-patterns.md 9.0 KB
- reference/guardrail-metrics.md 8.8 KB
- reference/interleaving-tests.md 12 KB
- reference/sample-size-calculator.md 2.6 KB
- reference/sequential-testing.md 10 KB
- reference/srm-detection.md 9.3 KB
- reference/statistical-methods.md 20 KB
- reference/switchback-design.md 8.5 KB
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.
- 3d ago First seen · 279 lines · 38 tokens per session scan A 6edd8cf2f65f
experiment is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 5,340 once invoked, about $0.0002 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 2026-08-30.
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