legal-research-authorship

legal-research-authorship is a skill for Claude Code, Codex from kingselyjoe/legal-research-dsh. It costs 80 tokens per session (733 once invoked), scanned A, original, MIT.

A Chinese-language review skill for legal papers that checks formulaic wording, unsupported claims, source use, and the author's reasoning. It is designed to improve clarity without pretending to prove who wrote the text or bypass AI detectors.

In plain words
What is it for?
Use it to revise academic legal Chinese, document author decisions, verify added claims against sources, and prepare a draft for further legal review.
Why use it?
It helps find mechanical prose and gaps in evidence while keeping legal conclusions, citations, and the author's actual judgments intact.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present.

Good fit Use it to revise academic legal Chinese, document author decisions, verify added claims against sources, and prepare a draft for further legal review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kingselyjoe/legal-research-dsh/legal-research-authorship
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 kingselyjoe/legal-research-dsh --skill legal-research-authorship
Clone the repo
git clone --depth 1 https://github.com/kingselyjoe/legal-research-dsh

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 legal-research-authorship

README.md
[![agentmods](https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-authorship/github.svg)](https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-authorship)
Your own site
<a href="https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-authorship"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-authorship/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 legal-research-authorship

Your own site · 80×15
<a href="https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-authorship"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-authorship.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 733 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 $0.00080 $0.00733
Opus 5 $0.00040 $0.00367
Sonnet 5 $0.00016 $0.00147
Haiku 4.5 $0.00008 $0.00073

Measured 12d ago against content hash 361a3ae11e8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

legal-research-authorship 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 12d 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.

skills/legal-research-authorship/SKILL.md · 47 lines

What it actually says

论文作者性与表达审查

开始前完整读取并遵守 ../legal-research/references/interaction-protocol.md,先解释当前步骤,结束时说明结果、作用和下一步,不向用户粘贴原始 JSON。

目标是让论文忠实呈现作者的材料、立场和推理,而不是模仿某种“人类文本”表面特征。开始前完整读取 references/authorship-protocol.md

边界

  • 不输出“AI生成概率”,不保证通过任何检测器,也不针对某个检测器调词。
  • 不采用同义词轮换、故意错别字、虚构个人经历、伪造访谈或假造细节来掩饰文本来源。
  • 不改变法律结论、规范立场、数据、引文含义和专业术语以换取所谓“低AI率”。
  • 如果学校、期刊或机构要求披露AI辅助,提醒作者按适用规则如实披露。

工作流

  1. 读取全文、项目命题、证据台账和目标体例,区分来源事实、文献观点、作者推论、作者规范判断和待核内容。
  2. 建立 artifacts/author-decisions.md,记录四项必须由作者确认的内容:核心命题、规范立场、对最强反方的回应、研究局限。
  3. 逐段检查是否有新材料或新推理。只有复述提纲、重复结论或使用空泛过渡的段落应删除、合并或补证。
  4. 在不损害准确性的前提下调整句法和节奏。优先明确“谁依据什么作出何种判断”,保留必要法律术语。
  5. 对所有新增事实、数字、引语、判例评价和因果判断回到来源核验。无法核验时标记 [待核验],不得用流畅表达掩盖证据缺口。
  6. 运行表面机械性扫描:
legal-research prose audit "{draft}" --json
  1. 对每条提示作语境判断,不机械全改。完成后登记作者决定文件与修订稿:
legal-research --workspace "{workspace}" artifact set --name author-decisions --path "{decisions}" --copy
legal-research --workspace "{workspace}" artifact set --name draft --path "{revised-draft}" --copy
  1. 转入 legal-research-review 做来源、论证、方法和引注审查。

扫描器只识别预设的表面模式。低分不能证明文本由人撰写,高分也不能证明文本由AI生成。

Files

What ships with it

2 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. 12d ago First seen · 47 lines · 80 tokens per session scan A 361a3ae11e8f

Subscribe to this mod's changes

legal-research-authorship is a skill published in the GitHub repository kingselyjoe/legal-research-dsh (2 stars, last pushed 21d ago), licensed MIT. It adds 80 tokens to every session and 733 once invoked, about $0.0004 per session on Opus 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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