law-call4expr

law-call4expr is a skill for Claude Code, Codex from li-ch/law-skills. It costs 0 tokens per session (790 once invoked), scanned A, original, MIT.

A template for experiment instructions that hand work from an AI agent to a person who can run code, collect data, create figures, or use hardware.

In plain words
What is it for?
Use it to write task lists for experiments, with a CSV file, plotting script, and final PNG figure required for each experiment.
Why use it?
It makes unfinished experimental work specific and reproducible by stating exactly what files and outputs the person must produce.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write task lists for experiments, with a CSV file, plotting script, and final PNG figure required for each experiment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/li-ch/law-skills/law-call4expr
Install

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.

Any agent
npx skills add li-ch/law-skills --skill law-call4expr
Clone the repo
git clone --depth 1 https://github.com/li-ch/law-skills

Made for: Claude Code, Codex.

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 law-call4expr

README.md
[![agentmods](https://agentmods.dev/badge/skills/li-ch/law-skills/law-call4expr/github.svg)](https://agentmods.dev/skills/li-ch/law-skills/law-call4expr)
Your own site
<a href="https://agentmods.dev/skills/li-ch/law-skills/law-call4expr"><img src="https://agentmods.dev/badge/skills/li-ch/law-skills/law-call4expr/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 law-call4expr

Your own site · 80×15
<a href="https://agentmods.dev/skills/li-ch/law-skills/law-call4expr"><img src="https://agentmods.dev/badge/skills/li-ch/law-skills/law-call4expr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 790 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.
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 $0.00000 $0.00790
Opus 5.5 $0.00000 $0.00316
Sonnet 5.5 $0.00000 $0.00158
Haiku 4.5 $0.00000 $0.00079

Measured 2mo ago against content hash b0d939ec53a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

law-call4expr 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.

law-call4expr/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LAW Call for Experiments

Write experiment guides for human execution. These guides hand off work that the agent cannot complete: running code, collecting data, producing figures, or accessing hardware.

When to use this skill

Use when todo.md contains items that the agent cannot complete. These items are marked ⏳ WAITING ON DATA in todo.md with a pointer to the experiment guide. The guide is a task list, not a narrative — the person executing it should not need to read reviews or understand the paper's narrative.

Writing rules

Rule 1: No justification

The person running experiments knows why. Tell them what to produce, not why. Remove all "because the reviewer said" or "this validates assumption X" language.

Rule 2: Three deliverables per experiment

Every experiment must specify exactly three outputs:

  1. CSV file — path in data/, column names, what each column contains
  2. Plotting script — path in figs/, what CSV it reads, what plot it produces
  3. Final figure — path in figs/, the PNG file name

Never say "report the results" or "add a figure." Always specify exact file paths.

Rule 3: Never reference reviewers

The guide is a task list. No reviewer names, no paper state, no priority justifications based on reviewer impact. If prioritization is needed, use a simple numbered list.

Rule 4: Language matches audience

Write in the language the executor prefers. Default to Chinese — the guide targets a Chinese-speaking PhD student. If the user explicitly asks for English, or if the agent cannot determine the audience's language, write in English.

Do not assume Chinese is always correct. If the user says "my student speaks English," write in English.

Templates

Use the template that matches the language. Default to Chinese unless the user specifies otherwise.

Chinese template

# [Paper Name] 补充实验

## 实验 N: [Name]

### 数据收集
- [Step 1]
- [Step 2]

### 交付物
- **CSV:** `data/xxx.csv`
  - 列:`col1, col2, col3`
- **绘图脚本:** `figs/fig-xxx.py`
  - 读取 `data/xxx.csv`
  - 输出:[description of plot]
- **最终图:** `figs/fig-xxx.png`

Read the full file on GitHub · 90 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 · 90 lines · 0 tokens per session scan A b0d939ec53a0

Subscribe to this mod's changes

law-call4expr is a skill published in the GitHub repository li-ch/law-skills (11 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 790 tokens. 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.

Related

law-call4expr compared with skills from other repositories

law-call4expr next to 6 skills from other repositories
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