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.
npx skills add kingselyjoe/legal-research-dsh --skill legal-research-empiricalgit clone --depth 1 https://github.com/kingselyjoe/legal-research-dshWrote 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.
[](https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-empirical)<a href="https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-empirical"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-empirical/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.
<a href="https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-empirical"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-empirical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.00414 |
| Opus 5 | $0.00034 | $0.00207 |
| Sonnet 5 | $0.00013 | $0.00083 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
legal-research-empirical 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.
What it actually says
法律实证研究
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。
读取 references/empirical-protocol.md。必须先固定研究方案和编码手册，再进行全量编码。
语料导入
legal-research --workspace "{workspace}" empirical ingest "{文件或目录}"
legal-research --workspace "{workspace}" empirical status --json
导入器支持 UTF-8 TXT、Markdown 和 DOCX，按 SHA-256 去重。旧版 .doc、扫描PDF和加密文件应先转换或OCR，并保留原始文件映射。
编码要求
- 明确总体、抽样框、时间范围、法院层级、检索式和纳入排除规则。
- 编码本包含变量名、定义、类型、允许值、缺失值和判断例子。
- 先做小样本试编码；含主观判断的变量至少抽样双人复核并报告一致性。
- 原始语料只读保存，清洗、编码、分析和图表分别产出版本化文件。
- 模型抽取结果不能直接视为事实，关键变量必须进行抽样或全量人工核验。
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.
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.
- 12d ago First seen · 34 lines · 67 tokens per session scan A 7b27d505d109
legal-research-empirical is a skill published in the GitHub repository kingselyjoe/legal-research-dsh (2 stars, last pushed 21d ago), licensed MIT. It adds 67 tokens to every session and 414 once invoked, about $0.0003 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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