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-claimsgit 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-claims)<a href="https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-claims"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-claims/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-claims"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-claims.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 | $0.00057 | $0.00394 |
| Opus 5.5 | $0.00023 | $0.00158 |
| Sonnet 5.5 | $0.00011 | $0.00079 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
legal-research-claims 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 1mo 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
论点与证据地图
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。
阅读 references/evidence-model.md。一个 claim 只表达一个可被支持或反驳的命题。
操作
legal-research --workspace "{workspace}" claim add \
--text "{命题}" --section "{拟放置章节}"
legal-research --workspace "{workspace}" evidence add \
--claim C0001 --source S0001 --support supports \
--pinpoint "第X条/第Y页/第Z段" --quote "{短摘录}" --verified
- 对每个核心命题至少登记支持材料、可能的反例或限制条件。
- 法律规范命题优先由现行有效的一手法源支撑。
- 学术原创性命题需要文献缺口证据，不能仅凭“尚未看到”。
- 因果命题的措辞不得超过研究设计能够支持的强度。
- 同一来源可支持多个 claim，但必须分别记录对应定位。
完成后运行 legal-research audit --json。CLAIM_UNSUPPORTED 是阻断问题。
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.
- 1mo ago First seen · 36 lines · 57 tokens per session scan A a351325c8535
legal-research-claims is a skill published in the GitHub repository kingselyjoe/legal-research-dsh (2 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 394 once invoked, about $0.0002 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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