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 krillinai/growth-skills --skill experiment-program-managementgit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/experiment-program-management)<a href="https://agentmods.dev/skills/krillinai/growth-skills/experiment-program-management"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/experiment-program-management/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/krillinai/growth-skills/experiment-program-management"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/experiment-program-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00072 | $0.02894 |
| Opus 5 | $0.00036 | $0.01447 |
| Sonnet 5 | $0.00014 | $0.00579 |
| Haiku 4.5 | $0.00007 | $0.00289 |
Grade A, and why
experiment-program-management 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 11d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Program Management
Turn many experiments and alternative evidence designs into a trustworthy decision system. Govern which uncertainties enter, how scarce traffic and capacity are allocated, where concurrent interventions collide, when evidence is ready, how incidents and inconclusive results remain visible, and whether learning changes later decisions. Experiment volume and win rate are activities, not program outcomes.
Read program-contract.md before accepting program scope, experiment inventory, states, owners, systems, periods, evidence, or health claims. Read portfolio-intake-and-prioritization.md before accepting ideas, classifying work, comparing decision value, or allocating traffic and capacity. Read traffic-quality-and-evidence-operations.md before defining concurrency, preflight gates, incidents, maturity, readouts, follow-through, or long-term checks. Read learning-governance-market-and-actions.md before governing reuse, program health, decision rights, market transfer, personal data, or external actions. Read output-contract.md before delivery. Use playbook-sources.md for the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
audit |
Inspect a current experimentation program for selection, contract, quality, traffic, capacity, interference, maturity, learning, follow-through, or governance failures |
design |
Build an evidence-bounded program contract, portfolio, operating gates, cadence, repository, and health system |
refresh |
Version the program after strategy, traffic, capacity, evidence maturity, incidents, proxy validity, long-term outcomes, platform, or governance changes |
Name one primary mode and state draft, reconciling, decision-ready, approved-record, active-record, superseded, or expired. A record state does not prove approval, assignment, exposure, completion, adoption, or impact.
What ships with it
6 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.
- 11d ago First seen · 109 lines · 72 tokens per session scan A d098a7d19789
experiment-program-management is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 14d ago), licensed MIT. It adds 72 tokens to every session and 2,894 once invoked, about $0.0004 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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