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/skyllwt/autosci/exp-evalnpx skills add skyllwt/AutoSci --skill exp-evalgit clone --depth 1 https://github.com/skyllwt/AutoSciWrote 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/skyllwt/autosci/exp-eval)<a href="https://agentmods.dev/skills/skyllwt/autosci/exp-eval"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-eval.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 | $0.00029 | $0.03539 |
| Opus 5 | $0.00015 | $0.01769 |
| Sonnet 5 | $0.00006 | $0.00708 |
| Haiku 4.5 | $0.00003 | $0.00354 |
Grade A, and why
exp-eval 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 4d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/exp-eval
Convert completed experiment results into wiki knowledge updates. Review LLM acts as an impartial judge (following cross-model-review), independently evaluating how experimental results affect the linked idea's hypothesis. Four verdict paths: supported → idea validated / partially_supported → supplementary experiments / not_supported → idea failed / inconclusive → debug. Auto-updates the linked idea's
status,failure_reason, and graph edges.
Inputs
experiment: slug fromwiki/experiments/(status must becompleted)--auto(optional): automatic mode — do not pause for user confirmation before wiki updates (used when called by /research)
Outputs
wiki/ideas/{linked-idea}.md— updatedstatus,failure_reason,date_resolvedwiki/experiments/{slug}.md—## Idea updatessection filled in (records the linked idea's status transition; replaces the legacy## Claim updatesheading)wiki/graph/edges.jsonl— newsupports/invalidatesedges added (experiment → idea)wiki/graph/context_brief.md— rebuiltwiki/graph/open_questions.md— rebuiltwiki/log.md— appended log entry- VERDICT_REPORT (printed to terminal) — verdict result, wiki change summary, next step suggestions
Wiki Interaction
Reads
wiki/experiments/{slug}.md— experiment results:outcome,key_result,metrics, full Results section,linked_ideawiki/ideas/{linked-idea}.md— linked idea current state:status,## Hypothesis,## Riskswiki/experiments/*.md— sibling experiments with the samelinked_idea(aggregate assessment)wiki/graph/context_brief.md— global context.claude/skills/shared-references/cross-model-review.md— reviewer independence principle
Writes
wiki/ideas/{linked-idea}.md— updatestatus,failure_reason,date_resolvedwiki/experiments/{slug}.md— fill in## Idea updatessectionwiki/graph/edges.jsonl— addsupports/invalidatesedges (experiment → idea)wiki/graph/context_brief.md— rebuildwiki/graph/open_questions.md— rebuildwiki/log.md— append operation log
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.
- 4d ago First seen · 321 lines · 29 tokens per session scan A 145fb5be1d67
exp-eval is a skill published in the GitHub repository skyllwt/AutoSci (1,659 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 3,539 once invoked, about $0.0001 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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