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 nongjun/feishu-cursor-claw --skill dingtalk-integrationgit clone --depth 1 https://github.com/nongjun/feishu-cursor-clawWrote 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/nongjun/feishu-cursor-claw/dingtalk-integration)<a href="https://agentmods.dev/skills/nongjun/feishu-cursor-claw/dingtalk-integration"><img src="https://agentmods.dev/badge/skills/nongjun/feishu-cursor-claw/dingtalk-integration/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/nongjun/feishu-cursor-claw/dingtalk-integration"><img src="https://agentmods.dev/badge/skills/nongjun/feishu-cursor-claw/dingtalk-integration.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 | $0.00048 | $0.00491 |
| Opus 5 | $0.00024 | $0.00246 |
| Sonnet 5 | $0.00010 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
dingtalk-integration 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 9d 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 Webhook 集成
当前能力范围
仅 Webhook 群机器人，不涉及 OAuth/JSAPI/免登录。
| 能力 | 说明 |
|---|---|
| 日报播报 | 每日定时发送业务统计（多巴胺配色 Markdown） |
| 异常告警 | 任务卡住、提交失败等实时告警 |
| 消息格式 | text / markdown |
SOP：新增钉钉通知
- 在钉钉群创建自定义机器人，获取 Webhook URL
- 在模块 config.py 中添加 Webhook 环境变量
- 参考 DingtalkService 实现消息发送
- 调用 send_webhook_message() 发送消息
关键方法（DingtalkService）
| 方法 | 用途 |
|---|---|
| send_webhook_message() | 发送群机器人消息（text/markdown） |
| send_daily_report() | 完整日报播报流程 |
| send_submit_failure_alert() | 任务提交失败告警 |
| send_stuck_task_alert() | 任务卡住告警 |
| get_daily_statistics() | 获取当日统计数据 |
重点关注
- Webhook URL 放环境变量，禁止硬编码
- 告警与日报用独立 Webhook（可配置）
- Markdown 消息有字数限制（约 20000 字节）
- 机器人安全设置建议用「自定义关键词」模式
环境变量
- DINGTALK_MOMENT_DAILY_WEBHOOK — 日报 Webhook
- DINGTALK_ALERT_WEBHOOK — 告警 Webhook（可选，默认复用日报）
- DINGTALK_MOMENT_DAILY_ENABLED — 是否启用日报
- DINGTALK_PADDING_WEBHOOK — 智能铺垫提醒 Webhook
参考文件
- 朋友圈/后端服务/app/services/dingtalk_service.py
- 联系人/后端服务/app/services/padding_reminder_service.py
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.
- 9d ago First seen · 53 lines · 48 tokens per session scan A 8c9da0eda54c
dingtalk-integration is a skill published in the GitHub repository nongjun/feishu-cursor-claw (14 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 491 once invoked, about $0.0002 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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