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AD dingtalk-ai-table

钉钉 AI 表格（多维表格）操作。当用户提到"钉钉AI表格"、"AI表格"、"多维表格"、"工作表"、"字段"、"记录"、"新增记录"、"查询记录"、"更新记录"、"删除记录"、"新建字段"、"删除字段"、"dingtalk AI table"、"dingtalk notable"、"able文件"时使用此技能。支持工作表管理、字段管理、记录的增删改查等全部操作。

ClawHub Agent Skills author: breath57 v0.1.3 MIT-0 4 files · 1 script body ≈ 822 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
A
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
84
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration exfil-secret-in-url scripts/dt_helper.sh:196
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    resp=$(curl -s "https://oapi.dingtalk.com/gettoken?appkey=…&appsecret=…")
    placeholder
  • low Exfiltration net-credential-use scripts/dt_helper.sh:196
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    resp=$(curl -s "https://oapi.dingtalk.com/gettoken?appkey=…&appsecret=…")
    vendor-host
  • low Exfiltration exfil-secret-in-url scripts/dt_helper.sh:229
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    "https://oapi.dingtalk.com/topapi/v2/user/get?access_token=…" \
    placeholder
  • low Exfiltration exfil-secret-in-url scripts/dt_helper.sh:262
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    "https://oapi.dingtalk.com/topapi/user/getbyunionid?access_token=…" \
    placeholder

Files scanned: 4. 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")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (dingtalk-ai-table) differs from the folder (dingtalk-ai-table-only-curl)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 822 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 183: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
This DingTalk table skill appears related to its stated purpose, but it needs Review because it stores DingTalk credentials locally and can change or delete business table data with incomplete safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026