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 theam/limina --skill experiment-rigorgit clone --depth 1 https://github.com/theam/liminaWrote 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/theam/limina/experiment-rigor)<a href="https://agentmods.dev/skills/theam/limina/experiment-rigor"><img src="https://agentmods.dev/badge/skills/theam/limina/experiment-rigor.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 5.1 | $0.00080 | $0.01980 |
| Opus 5 | $0.00040 | $0.00990 |
| Sonnet 5 | $0.00016 | $0.00396 |
| Haiku 4.5 | $0.00008 | $0.00198 |
Grade A, and why
experiment-rigor 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 7d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Rigor
Use this skill to turn Limina research into decision-grade evidence.
When to use it
Use this skill when you need to:
- write or revise a serious
H,E, orF - define a fair comparator baseline
- decide whether a result is conclusive, inconclusive, or invalid
- choose metrics, guardrails, slices, seeds, or stopping rules
- review whether a negative result reflects the method or only the setup
Do not use it for:
- generic brainstorming with no concrete research decision
- one-off coding tasks with no experiment design component
- literature mapping when the main gap is external landscape search rather than experiment validity
Read first
Read:
kb/mission/CHALLENGE.mdkb/ACTIVE.md- only the linked
H,E,F,L,CR, orSRnotes relevant to the current question
Before evaluating any nontrivial method, read the official paper, repo, or docs for that method. Record the setup requirements needed to expose its claimed advantage.
Use the reference files on demand:
references/hypothesis-rubric.md— writing or revisingHreferences/experiment-rubric.md— designing or reviewingEreferences/metrics-storage.md— storing raw metrics and lineage underkb/research/data/
Non-negotiable rules
- Optimize for decisive evidence. If an experiment cannot change a decision, redesign it.
- Protect method validity. Never test a method in a setup that strips away the capability you are trying to evaluate.
- Compare fairly. Use strong baselines and control non-essential variables.
- Separate invalid test, implementation failure, insufficient signal, and true negative result.
- Reject a hypothesis only after a method-valid test with enough signal. Otherwise mark it inconclusive and design the next experiment.
- Keep
kb/as canonical memory. Narrative belongs inH/E/F; raw metrics belong in structured files underkb/research/data/. - Use the current Limina templates and keep
## Linksvalid. Preferpython3 scripts/kb_new_artifact.py ...when a new core artifact is needed. - Use
CRorSRonly when the direction is blocked, invalidated, plateaued, or strategically changing. Do not trigger them on a fixed cadence.
What ships with it
5 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.
- 7d ago First seen · 180 lines · 80 tokens per session scan A 82a80a1123ae
experiment-rigor is a skill published in the GitHub repository theam/limina (39 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,980 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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