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管理钉钉产品能力(AI表格/AI搜问/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、模糊找人/查谁负责某事项、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报周报（钉钉日志模版）、读写钉钉文档、上传下载云盘文件、查询听记纪要、收发邮件、读写在线电子表格(axls)、管理钉钉知识库时使用。

ClawHub Agent Skills author: FlyRedM v1.0.0 MIT-0 80 files body ≈ 4 774 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

管理钉钉产品能力(AI表格/AI搜问/日历/通讯录/群聊与机器人/待办/审批/考勤/日志/DING消息/开放平台文档/钉钉文档/钉钉云盘/AI听记/邮箱/在线电子表格/知识库等)。当用户需要操作表格数据、管理日程会议、模糊找人/查谁负责某事项、查询通讯录、管理群聊、机器人发消息、创建待办、提交审批、查看考勤、提交日报…

As a process F 31/100 · Will not run — References files that are not bundled: scripts/, references/products/aiapp.md, references/products/drive.md

ProcedureExcelAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
58
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: scripts/, references/products/aiapp.md, references/products/drive.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token references/products/doc.md:597
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | `alidocs.dingtalk.com/i/nodes/{id}` | `https://alidocs.dingtalk.com/i/nodes/9E05…kYA` | 取 URL 路径最后一段：`9E05…kYA` |
    table
  • low Secrets in code secret-high-entropy-token references/products/doc.md:961
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **文档 ID**: 字母数字字符串，如 `9E05…kYA`
    quoted
  • low Secrets in code secret-high-entropy-token references/products/doc.md:967
    High-entropy token-like string (may be an id, hash or a credential)
    dws doc read --node 9E05…kYA
  • low Secrets in code secret-high-entropy-token references/products/doc/doc-info.md:46
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | `alidocs.dingtalk.com/i/nodes/{id}` | `https://alidocs.dingtalk.com/i/nodes/9E05…kYA` | 取 URL 路径最后一段：`9E05…kYA` |
    table
  • low Secrets in code secret-high-entropy-token references/products/doc/doc-info.md:90
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **文档 ID**: 字母数字字符串，如 `9E05…kYA`
    quoted
  • low Secrets in code secret-high-entropy-token references/products/doc/doc-info.md:97
    High-entropy token-like string (may be an id, hash or a credential)
    dws doc read --node 9E05…kYA

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/
  • warning missing-ref reference to a missing file: references/products/aiapp.md
  • warning missing-ref reference to a missing file: references/products/drive.md
  • warning missing-ref reference to a missing file: references/products/minutes.md
  • warning missing-ref reference to a missing file: references/products/oa.md
  • warning missing-ref reference to a missing file: references/products/pat.md
  • warning missing-ref reference to a missing file: references/products/report.md
  • warning missing-ref reference to a missing file: references/products/mail.md
  • warning missing-ref reference to a missing file: references/products/sheet.md
  • warning missing-ref reference to a missing file: references/products/todo.md
  • warning missing-ref reference to a missing file: references/products/wiki.md
  • warning missing-ref reference to a missing file: references/products/event.md
  • warning missing-ref reference to a missing file: references/url-patterns.md
  • warning missing-ref reference to a missing file: references/recovery-guide.md
  • note frontmatter-key unknown frontmatter key "cli_version"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/, references/products/aiapp.md, references/products/drive.md
  • 0Tools and files. 14 referenced file(s) missing: scripts/, references/products/aiapp.md, references/products/drive.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 19 mutating operations with no state check
  • 70Execution cost. Instruction body is 4774 tokens
  • 100Steps. 66 steps
  • 100Consistency. Name and required fields are in place
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (21 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 224: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
The skill is broadly aligned with DingTalk administration, but it needs Review because it can access sensitive communications and identity data, trigger visible business actions, and mutate the local Python environment without enough consent controls.
LLM: suspicious (high) · 26 Jul 2026