by breath57 · Codex Skill · ★ 99
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add breath57/dingtalk-skills@dingtalk-document
npx skills add breath57/dingtalk-skills@dingtalk-document --agent hermes-agent -yTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 99 |
| Forks | 9 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 60/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-26 |
| Created | 2026-03-05 |
| Platforms | python |
| Est. Tokens | ~16k |
钉钉 Agent 技能库（dingtalk-skills） English | 中文 已适配 OpenClaw 🦞 & Hermes，可从 ClawHub · Skills.sh 一键安装。 让 AI Agent 直接操作钉钉——无需手写 API 调用，无需手动管理 Token，对话即操作。 基于 Anthropic skills 规范 构建，仅依赖 ，无需安装 Python、SDK 或任何第三方库。安装一行命令，Agent 即可理解"什么时候该调钉钉 API、该调哪个、参数怎么填"，并自动管理配置、错误处理。 为什么用这个 对话即操作："帮我在任务表里加三条记录" → Agent 自动完成，无需你知道任何 API 零依赖：仅使用 发起 HTTP 请求，无需安装 Python、SDK 或任何第三方库 一次配置，永久生效：首次使用时 Agent 统一询问...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: