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 ThomasMoreAI/legal-skills-open --skill 03-timeline-evidence-ledger-kevinke93git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/03-timeline-evidence-ledger-kevinke93)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/03-timeline-evidence-ledger-kevinke93"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/03-timeline-evidence-ledger-kevinke93/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/thomasmoreai/legal-skills-open/03-timeline-evidence-ledger-kevinke93"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/03-timeline-evidence-ledger-kevinke93.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 | $0.00078 | $0.00948 |
| Opus 5.5 | $0.00031 | $0.00379 |
| Sonnet 5.5 | $0.00016 | $0.00190 |
| Haiku 4.5 | $0.00008 | $0.00095 |
Grade A, and why
03-timeline-evidence-ledger-kevinke93 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 26d 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
Skill：时间线与证据台账
事项记忆要求
- 本技能是分析镜头。默认把结果写入会话回复、
matter.md或目标交付文件。 - 只有长期协作、审计追踪或用户明确要求时，才更新
skill_outputs.md。 - 如果本技能没有实际执行，不能在报告中暗示已完成；如果信息不足，输出缺口、影响和下一步。
适用场景
用户已有若干聊天记录、合同、转账、邮件、照片、通知、录音、证人等材料，需要整理成证明链。
目标
- 按时间顺序还原事件。
- 建立证据台账。
- 将证据映射到待证明事实。
- 标记证据强弱、风险和补强方式。
输入
- 事件描述。
- 证据清单。
- 关键日期。
- 用户主张。
- 对方主张。
工作流
1. 时间线重构
按以下格式排列：
| 时间 | 事件 | 参与人 | 来源 | 证据 | 争议状态 |
|---|
时间不明时标记为“待确认”，不要猜测。
2. 证据台账
记录每份证据：
- 名称。
- 类型。
- 来源。
- 形成时间。
- 持有人。
- 原件/复印件/截图/转发件。
- 证明对象。
- 真实性风险。
- 合法性风险。
- 关联性。
- 证明力。
- 补强方式。
3. 证据三性评估
- 真实性：是否能证明证据本身未被伪造或篡改。
- 合法性：取得方式、内容使用是否可能违法或被排除。
- 关联性：是否能证明本案核心事实。
4. 证明链检查
对每项主张检查：
主张 → 法律要件 → 待证明事实 → 已有证据 → 缺口 → 补证动作
5. 证据补强建议
常见补强方式：
- 保存原始载体。
- 导出完整聊天记录而非截取片段。
- 保留转账凭证、发票、物流、签收记录。
- 形成书面确认。
- 通过合法公证、见证、平台调取或律师调查令等方式强化。
- 让对方在合法沟通中确认关键事实。
输出格式
## 时间线
| 时间 | 事件 | 证据 | 证明意义 | 争议/缺口 |
|---|---|---|---|---|
## 证据台账
| 编号 | 证据 | 类型 | 来源 | 形成时间 | 证明对象 | 强度 | 风险 | 补强方式 |
|---|---|---|---|---|---|---|---|---|
## 证明链缺口
| 主张 | 所需事实 | 已有证据 | 缺口 | 补证优先级 |
|---|---|---|---|---|
## 保存与使用建议
质量检查
- 不把无证事实写成已证事实。
- 不鼓励非法取证。
- 对截图、录音、转账、合同等分别指出常见风险。
- 每份核心证据都连接到证明对象。
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.
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.
- 26d ago First seen · 120 lines · 78 tokens per session scan A b3789f0e4101
03-timeline-evidence-ledger-kevinke93 is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 78 tokens to every session and 948 once invoked, about $0.0003 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 2026-10-02.
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