research-chinese-law

research-chinese-law is a skill for Claude Code, Codex from Eysn0130/DeepLaw. It costs 94 tokens per session (1,873 once invoked), scanned A, original, Apache-2.0.

A skill for researching and checking Chinese legal sources, such as official articles, document numbers, historical versions, and effective dates. It is read-only and must be explicitly invoked.

In plain words
What is it for?
Use it when you explicitly need to retrieve or verify Chinese legal authorities, citations, or details about a legal provision.
Why use it?
It helps keep legal-source research bounded and version-aware while avoiding unsupported legal conclusions.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex; $skill-name invocation.

Part of the deeplaw plugin — 1 skill shipped together

Good fit Use it when you explicitly need to retrieve or verify Chinese legal authorities, citations, or details about a legal provision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eysn0130/deeplaw/research-chinese-law
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 Eysn0130/DeepLaw --skill research-chinese-law
Clone the repo
git clone --depth 1 https://github.com/Eysn0130/DeepLaw

Made for: Claude Code, Codex.

Or install deeplaw, the plugin that ships this one along with the rest of its 1 skill.

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 research-chinese-law

README.md
[![agentmods](https://agentmods.dev/badge/skills/eysn0130/deeplaw/research-chinese-law/github.svg)](https://agentmods.dev/skills/eysn0130/deeplaw/research-chinese-law)
Your own site
<a href="https://agentmods.dev/skills/eysn0130/deeplaw/research-chinese-law"><img src="https://agentmods.dev/badge/skills/eysn0130/deeplaw/research-chinese-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 research-chinese-law

Your own site · 80×15
<a href="https://agentmods.dev/skills/eysn0130/deeplaw/research-chinese-law"><img src="https://agentmods.dev/badge/skills/eysn0130/deeplaw/research-chinese-law.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,873 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 $0.00094 $0.01873
Opus 5.5 $0.00038 $0.00749
Sonnet 5.5 $0.00019 $0.00375
Haiku 4.5 $0.00009 $0.00187

Measured 2mo ago against content hash af7fd2028760, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-chinese-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.

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.

plugins/deeplaw/skills/research-chinese-law/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepLaw 2.0 Chinese-Law Research

DeepLaw 2.0 is a read-only Agent legal-knowledge substrate. Use its official catalog to collect bounded, version-aware evidence. It may also read a physically separate user-private legal-reference library, but those results are user-provided and never official DeepLaw sources. Do not use either scope to decide case facts, replace legal review, or inject a general legal corpus into every conversation.

Enforce the invocation gate

Proceed only when the user explicitly invokes this skill:

  • Codex: $research-chinese-law
  • Claude Code: /deeplaw:research-chinese-law
  • OpenCode: an explicit @deeplaw request that loads research-chinese-law

If that gate is absent, continue the user's non-legal work without DeepLaw. Do not infer legal intent from a project name, a case existing in the workspace, or a lone domain word.

Even after explicit invocation, do not call DeepLaw for:

  • application code, SQL, statistics, dashboards, or ordinary data work;
  • OCR, PDF/DOCX extraction, summarization, rewriting, or translation alone;
  • storing, searching, or summarizing case-private evidence or chat history;
  • UI, session, SQLite, DuckDB, attachment, or project-management questions;
  • a keyword that is only data, such as a 诈骗 category or fraud_score column.

Use exactly one tool

Use the DeepLaw MCP tool whose leaf name is exactly law_support. Hosts may add their own server or plugin prefix to that name. The prefix is not a second tool.

Do not use any other DeepLaw tool. If the server advertises a different leaf name or more than one tool, stop and report an adapter/runtime contract mismatch.

law_support routes thirteen read-only operations:

  • search: return a bounded evidence-card set;
  • get: fetch one exact segment selected by segment_id;
  • verify: verify one segment_id and receipt_id pair;
  • release_info: inspect the active immutable release.
  • private_search: search only the user-private legal-reference snapshot;
  • private_get: fetch one exact private segment;
  • private_verify: verify one private snapshot receipt;
  • private_info: inspect the current private snapshot;
  • federated_context: compile separately admitted official, private, and explicitly enabled Agent-interpretation partitions under one bounded plan.
  • capabilities: read deterministic evidence capabilities for one exact segment_id;
  • challenge_trace: build one bounded deterministic Authoritative Pack trace for a query;
  • challenge_get: fetch one exact retained trace by trace_id;
  • challenge_replay: replay and verify one supplied closed trace.

Read the full file on GitHub · 153 lines

Files

What ships with it

1 file 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 · 153 lines · 94 tokens per session scan A af7fd2028760

Subscribe to this mod's changes

research-chinese-law is a skill published in the GitHub repository Eysn0130/DeepLaw (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 94 tokens to every session and 1,873 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.

Related

research-chinese-law compared with skills from other repositories

research-chinese-law next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
research-chinese-lawEysn0130/DeepLawSkill61mo agoApache-2.0A94Claude Code, Codex
contract-guardianlawyerllsx-dotcom/Legal-Workflow-ChainSkill51mo agoMITA245Claude Code, Codex
法律周报lawyerllsx-dotcom/Legal-Workflow-ChainSkill51mo agoMITA242Claude Code, Codex
legal-researchlawyerllsx-dotcom/Legal-Workflow-ChainSkill51mo agoMITA87Claude Code, Codex
legal-citation-comprehensivelawyerllsx-dotcom/Legal-Workflow-ChainSkill51mo agoMITA119Claude Code, Codex
legal-fact-checkerlawyerllsx-dotcom/Legal-Workflow-ChainSkill51mo agoMITA143Claude Code, Codex
workflow-overviewlawyerllsx-dotcom/Legal-Workflow-ChainSkill51mo agoMITA63Claude Code, Codex