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AutoSci: Skill for Claude Code

.claude/skills/exp-pilot-eval/SKILL.md

exp-pilot-eval is a skill for Claude Code from skyllwt/AutoSci. It costs 46 tokens per session (1,979 once invoked), scanned A, original, MIT.

A workflow for judging the results of a pilot experiment, where a small trial tests whether an idea works, and recording the outcome in the project's idea pages and reports.

In plain words
What is it for?
Use it after a pilot run to read result files and logs, update the idea's status and findings, and create a lasting verdict report.
Why use it?
It applies consistent pass, fail, or inconclusive decisions and preserves the reasons and evidence for later work.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Claude Code.

This is skyllwt/AutoSci's own configuration. It tells Claude Code how to work on AutoSci itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AutoSci configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 tools/research_wiki.py set-meta wiki/ideas/{slug}.md pilot_result "fail — <specific failure>".

not rated 1.7krepo 1mo ago A scan SkillSpector: pass 46 tokens original MIT
View source ↗ skyllwt/AutoSci
About the project

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.

skyllwt/AutoSci · 1,706 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/exp-pilot-eval/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/skyllwt/AutoSci

Made for: Claude Code.

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.

agentmods badge for exp-pilot-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/skyllwt/autosci/exp-pilot-eval/github.svg)](https://agentmods.dev/skills/skyllwt/autosci/exp-pilot-eval)
Your own site
<a href="https://agentmods.dev/skills/skyllwt/autosci/exp-pilot-eval"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-pilot-eval/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.

agentmods 80×15 button for exp-pilot-eval

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,979 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.01979
Opus 5.5 $0.00018 $0.00792
Sonnet 5.5 $0.00009 $0.00396
Haiku 4.5 $0.00005 $0.00198

Measured 2mo ago against content hash c454a9add92d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

.claude/skills/exp-pilot-eval/SKILL.md · 164 lines

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's pilot_result, failure_reason, and status fields. Called by /ideate Phase 5 after /exp-pilot-run completes.

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 — updated pilot_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_reason
  • experiments/pilot/code/{slug}/results/seed_*.json — pilot experiment results
  • experiments/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 — update pilot_result, failure_reason (if failed), status (if failed)
  • wiki/log.md — append operation log
  • experiments/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

  1. Read idea page wiki/ideas/{slug}.md:

    • Current status and pilot_result
    • Current failure_reason (should be empty for proposed ideas)

  2. Read pilot results from experiments/pilot/code/{slug}/results/seed_*.json:

    • Parse result files (JSON)
    • Compute mean ± std per metric (across seeds)

Read the full file on GitHub · 164 lines

Changes

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.

  1. 2mo ago First seen · 164 lines · 46 tokens per session scan A c454a9add92d

Subscribe to this mod's changes

exp-pilot-eval is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,979 once invoked, about $0.0002 per session on Opus 5.5. 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.

ResearchScientific
Related

exp-pilot-eval compared with skills from other repositories

exp-pilot-eval next to 6 skills from other repositories
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