AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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-pilot-eval)<a href="https://agentmods.dev/skills/skyllwt/autosci/exp-pilot-eval"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-pilot-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 5.1 | $0.00046 | $0.01979 |
| Opus 5 | $0.00023 | $0.00989 |
| Sonnet 5 | $0.00009 | $0.00396 |
| Haiku 4.5 | $0.00005 | $0.00198 |
Grade A, and why
exp-pilot-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 6d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/exp-pilot-eval
Evaluate pilot experiment results and update the linked idea page. Reads pilot results from
experiments/pilot/code/{slug}/results/, applies verdict logic (pass/fail/inconclusive), and updates the idea'spilot_result,failure_reason, andstatusfields. Called by/ideatePhase 5 after/exp-pilot-runcompletes.
Inputs
idea-slug: slug of the idea whose pilot was just run--auto(optional): automatic mode, no pause for user confirmation (used when called by/research)
Outputs
wiki/ideas/{slug}.md— updatedpilot_result(always),failure_reason(if failed),status(if failed →failed)wiki/log.md— appended log entry- PILOT_VERDICT_REPORT (printed to terminal) — verdict, wiki change summary, next step suggestions
experiments/pilot/{slug}/report.md— PILOT_VERDICT_REPORT file copy (persistent record)
Wiki Interaction
Reads
wiki/ideas/{slug}.md— linked idea current state:status,pilot_result,failure_reasonexperiments/pilot/code/{slug}/results/seed_*.json— pilot experiment resultsexperiments/pilot/code/{slug}/pilot.log— pilot run log (for failure diagnosis: errors, warnings, runtime behavior)experiments/pilot/{slug}.yaml— Pilot Spec (for success_criterion and baseline reference)
Writes
wiki/ideas/{slug}.md— updatepilot_result,failure_reason(if failed),status(if failed)wiki/log.md— append operation logexperiments/pilot/{slug}/report.md— PILOT_VERDICT_REPORT file copy
Graph edges created
- None. Pilot evaluations do not create graph edges (those are for formal experiments via
/exp-eval).
Workflow
Step 1: Load Context
-
Read idea page
wiki/ideas/{slug}.md:- Current
statusandpilot_result - Current
failure_reason(should be empty for proposed ideas)
- Current
-
Read pilot results from
experiments/pilot/code/{slug}/results/seed_*.json:- Parse result files (JSON)
- Compute mean ± std per metric (across seeds)
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.
- 6d ago First seen · 164 lines · 46 tokens per session scan A c454a9add92d
exp-pilot-eval is a skill published in the GitHub repository skyllwt/AutoSci (1,660 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 1,979 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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