EurekAgent: Skill for Claude Code

.claude/skills/prepare-workspace/SKILL.md

prepare-workspace is a skill for Claude Code from THU-Team-Eureka/EurekAgent. It costs 25 tokens per session (2,255 once invoked), scanned A, original, AGPL-3.0.

A setup workflow that checks an optimization problem, tests its evaluation process, and prepares the environment before experiments begin.

In plain words
What is it for?
Use it before an automated propose-and-test loop to validate the problem, scoring process, and workspace configuration.
Why use it?
It catches setup or grading-pipeline problems before time is spent proposing and implementing approaches.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is THU-Team-Eureka/EurekAgent's own configuration. It tells Claude Code how to work on EurekAgent 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 EurekAgent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to THU-Team-Eureka/EurekAgent. 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/THU-Team-Eureka/EurekAgent/main/.claude/skills/prepare-workspace/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/THU-Team-Eureka/EurekAgent

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 prepare-workspace

README.md
[![agentmods](https://agentmods.dev/badge/skills/thu-team-eureka/eurekagent/prepare-workspace.svg)](https://agentmods.dev/skills/thu-team-eureka/eurekagent/prepare-workspace)
Your own site
<a href="https://agentmods.dev/skills/thu-team-eureka/eurekagent/prepare-workspace"><img src="https://agentmods.dev/badge/skills/thu-team-eureka/eurekagent/prepare-workspace.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,255 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00025 $0.02255
Opus 5 $0.00013 $0.01128
Sonnet 5 $0.00005 $0.00451
Haiku 4.5 $0.00003 $0.00226

Measured 8d ago against content hash 66935f918114, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

prepare-workspace scanned grade A with 1 finding 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 8d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

r = subprocess.run(
.claude/skills/prepare-workspace/SKILL.md · 234 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 8d ago First seen · 234 lines · 25 tokens per session scan A 66935f918114

Subscribe to this mod's changes

prepare-workspace is a skill published in the GitHub repository THU-Team-Eureka/EurekAgent (82 stars, last pushed 28d ago), licensed AGPL-3.0. It adds 25 tokens to every session and 2,255 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

research-sop

Run an end-to-end, auditable research workflow from question framing through literature, competing hypotheses, experiment selection, implementation, verification, and claim handoff. Use whenever the user asks to investigate, compare, test, validate, or establish an empirical research claim, including when they do not…

whenpoem/aiscientist · 85 tokens

preregister

Lock a confirmatory falsification target and its fixed multiple-comparison family before observing the confirmatory result. Use before promoting an exploratory finding to a main claim or whenever several related hypotheses need Bonferroni control. Records metric, threshold, family id/size, correction, and seed budget.

whenpoem/aiscientist · 62 tokens

prove-sop

Build and audit a statistical or mathematical proof from proposition capture through skeleton selection, diagnosis, correction, optional empirical checking, and optional Lean reinsurance. Use when the user asks to prove or rigorously derive a proposition, a graph proposition lacks a verified proof, or a reviewer…

whenpoem/aiscientist · 64 tokens

baseline-comparison-audit

Audit whether a paper's baseline comparisons are COMPLETE, FAIR, and SIGNIFICANT: a required recent SOTA baseline is missing while 'best/SOTA' is claimed (HP-MISSING-BASELINE); a baseline is undertuned / given less compute-tuning-data, run at a mismatched config, or the equal-budget ablation-as-baseline is absent…

wanshuiyin/Anti-Autoresearch · 310 tokens

eval-design-forensics

Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score may not measure generalization (HP-EVAL-LEAKAGE — adopts the Kapoor & Narayanan…

wanshuiyin/Anti-Autoresearch · 458 tokens

anti-autoresearch

End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) →…

wanshuiyin/Anti-Autoresearch · 275 tokens