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-reviewgit 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-review)<a href="https://agentmods.dev/skills/kingselyjoe/legal-research-dsh/legal-research-review"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-review/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-review"><img src="https://agentmods.dev/badge/skills/kingselyjoe/legal-research-dsh/legal-research-review.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 | $0.00058 | $0.00351 |
| Opus 5 | $0.00029 | $0.00176 |
| Sonnet 5 | $0.00012 | $0.00070 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
legal-research-review 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
多维法律研究审查
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。
按 references/review-rubric.md 独立检查八个维度，再合并重复问题。
严重度
BLOCKING：虚假或不可核验引注、核心命题无证据、法域或效力错误、方法无法支持结论、数据结果不可复现。MAJOR：关键反方遗漏、论证跳跃、样本偏差未处理、贡献表述过强。MINOR：局部表达、格式、顺序和非关键字段问题。
报告必须包含位置、问题、影响、证据和可执行修改。可以安全修改的内容直接修稿；改变作者命题、数据或规范立场的修改只提出建议。
保存 artifacts/review.md 并登记。存在 BLOCKING 时不得把项目阶段设为 complete。
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 · 27 lines · 58 tokens per session scan A 9a16784bbd7c
legal-research-review is a skill published in the GitHub repository kingselyjoe/legal-research-dsh (2 stars, last pushed 21d ago), licensed MIT. It adds 58 tokens to every session and 351 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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