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 zhinjs/zhin --skill dingtalkgit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/dingtalk)<a href="https://agentmods.dev/skills/zhinjs/zhin/dingtalk"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/dingtalk/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/zhinjs/zhin/dingtalk"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/dingtalk.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 | $0.00020 | $0.00230 |
| Opus 5.5 | $0.00008 | $0.00092 |
| Sonnet 5.5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
dingtalk 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
钉钉
用户或部门信息不完整时，先查询再执行写操作：
- 用
list_departments/dept_info确认部门。 - 用
get_dept_users/get_user解析稳定的用户 ID。 - 发送工作通知，或创建、更新群聊并添加成员。
不要把昵称直接当作用户 ID。当前 Agent Tool 不提供踢人、改群名或读取当前群详情能力；遇到这些请求时应明确说明能力边界。
What ships with it
8 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.
- tools/add_chat_members/index.ts 839 B runs code
- tools/create_chat/index.ts 912 B runs code
- tools/dept_info/index.ts 475 B runs code
- tools/get_dept_users/index.ts 526 B runs code
- tools/get_user/index.ts 455 B runs code
- tools/list_departments/index.ts 586 B runs code
- tools/send_work_notice/index.ts 773 B runs code
- tools/update_chat/index.ts 1.4 KB runs code
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 · 27 lines · 20 tokens per session scan A 8ce46e005443
dingtalk is a skill published in the GitHub repository zhinjs/zhin (136 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 230 once invoked, about $0.0001 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 2026-09-21.
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