kedi-Legal-Assistant: Skill for Codex

.agents/skills/consult-chinese-labor-law/SKILL.md

consult-chinese-labor-law is a skill for Codex from kdemm3158-hash/kedi-Legal-Assistant. It costs 93 tokens per session (362 once invoked), scanned A, original, no licence file.

An evidence-based workflow for consulting Chinese labor law. It improves and classifies questions, searches a labor-law knowledge base, and uses public search for questions outside its scope.

In plain words
What is it for?
Use it to research Chinese labor and employment-contract matters, or route other legal questions to configured public sources with citations.
Why use it?
It helps separate employment-law questions from other legal questions and returns answers with sources and information about any limitations.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is kdemm3158-hash/kedi-Legal-Assistant's own configuration. It tells Codex how to work on kedi-Legal-Assistant 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 kedi-Legal-Assistant configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kdemm3158-hash/kedi-Legal-Assistant. 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/kdemm3158-hash/kedi-Legal-Assistant/main/.agents/skills/consult-chinese-labor-law/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/kdemm3158-hash/kedi-Legal-Assistant

Made for: 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 consult-chinese-labor-law

README.md
[![agentmods](https://agentmods.dev/badge/skills/kdemm3158-hash/kedi-legal-assistant/consult-chinese-labor-law/github.svg)](https://agentmods.dev/skills/kdemm3158-hash/kedi-legal-assistant/consult-chinese-labor-law)
Your own site
<a href="https://agentmods.dev/skills/kdemm3158-hash/kedi-legal-assistant/consult-chinese-labor-law"><img src="https://agentmods.dev/badge/skills/kdemm3158-hash/kedi-legal-assistant/consult-chinese-labor-law/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 consult-chinese-labor-law

Your own site · 80×15
<a href="https://agentmods.dev/skills/kdemm3158-hash/kedi-legal-assistant/consult-chinese-labor-law"><img src="https://agentmods.dev/badge/skills/kdemm3158-hash/kedi-legal-assistant/consult-chinese-labor-law.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 362 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 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 $0.00093 $0.00362
Opus 5.5 $0.00037 $0.00145
Sonnet 5.5 $0.00019 $0.00072
Haiku 4.5 $0.00009 $0.00036

Measured 2mo ago against content hash f253886fc2a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

consult-chinese-labor-law 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/consult.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/consult-chinese-labor-law/SKILL.md · 26 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 26 lines · 93 tokens per session scan A f253886fc2a0

Subscribe to this mod's changes

consult-chinese-labor-law is a skill published in the GitHub repository kdemm3158-hash/kedi-Legal-Assistant (1 stars, last pushed 2mo ago), with no licence file. It adds 93 tokens to every session and 362 once invoked, about $0.0004 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 2026-08-31.

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