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 zhou210712/claude-for-legal-ZH --skill customizegit clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZHWrote 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/zhou210712/claude-for-legal-zh/customize)<a href="https://agentmods.dev/skills/zhou210712/claude-for-legal-zh/customize"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/customize/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/zhou210712/claude-for-legal-zh/customize"><img src="https://agentmods.dev/badge/skills/zhou210712/claude-for-legal-zh/customize.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 | $0.00097 | $0.00719 |
| Opus 5 | $0.00048 | $0.00360 |
| Sonnet 5 | $0.00019 | $0.00144 |
| Haiku 4.5 | $0.00010 | $0.00072 |
Grade A, and why
customize 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 13d 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
/customize
实践配置定制——调整配置设置,但不重新运行完整的冷启动访谈。不改变技能逻辑;仅改变实践层面的默认立场。
覆盖 ~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md 中的指定字段。其他一切保持不变。
/ai-governance-legal:customize "将我们的AI风险偏好从'中性'调整为'保守'"
/ai-governance-legal:customize "添加红线:不使用AI进行员工绩效自动排名"
/ai-governance-legal:customize "将算法备案到期提醒设为提前60天"
工作流
- 读取
~/.claude/plugins/config/claude-for-legal/ai-governance-legal/CLAUDE.md→ 当前配置。 - 解析变更描述。确定影响的字段。如果描述模糊,在编辑前提问澄清。
- 显示拟议变更的差异对比。
- 在用户确认后应用。仅编辑目标字段。
- 将变更记录在
## 变更日志中(如果存在该节),格式为[日期] — [变更描述]。
常见调整
| 描述 | 影响的字段 |
|---|---|
| 调整风险偏好 | ## AI治理实践位置 → 风险偏好(激进/中性/保守) |
| 添加/移除红线 | ## 红线 |
| 变更算法备案到期提醒 | ## 算法备案配置 → 到期提醒窗口 |
| 调整审批流程 | ## AI用例审批工作流 |
| 变更默认谈判立场 | ## 合同审查配置 → AI供应商条款默认立场 |
| 添加监管注册表条目 | ## 监管注册表 |
| 更新科技伦理审查触发条件 | ## 科技伦理审查配置 |
限制
- 此技能不改写技能逻辑或工作流——仅调整实践级配置中的参数。
- 结构性的重新配置(例如从法务内部用户转为私人执业)应通过
/ai-governance-legal:cold-start-interview --redo进行。
输出
确认变更内容及更新后的配置值。如果 ## 变更日志 存在,追加一条日志条目。
本技能不做的事
- 不重新运行完整的冷启动访谈——仅调整指定字段。
- 不添加新的监管注册表条目而不标记其依据——新条目应标注其来源。
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.
- 13d ago First seen · 61 lines · 97 tokens per session scan A 974d6605f6af
customize is a skill published in the GitHub repository zhou210712/claude-for-legal-ZH (212 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 97 tokens to every session and 719 once invoked, about $0.0005 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 2026-08-30.
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