SKILLEMALL.ai

BC dingtalk-todo-cli

Manage DingTalk tasks and todos using the official dws CLI (v1.0.32+, 10+ domains). Teach AI agents how to create, track, sync, and automate DingTalk todo workflows including personal task management, team task distribution, DING-based urgent escalation, AI sheet integration for tracking, and cross-platform task sync. Covers: daily standup automation (Todo→DING→Sheet), task delegation with tracking (Todo→Contact→DING→Sheet), overdue escalation (Todo→DING→Calendar), sprint planning (Sheet→Todo→Calendar), and meeting action item capture (Calendar→Todo→DING). Triggers on: 钉钉待办管理, dingtalk todo, dws task management, 钉钉CLI任务, dingtalk CLI todo, 钉钉DING提醒, dingtalk DING escalation, 钉钉AI表格追踪, dingtalk sheet tracking, 钉钉任务同步, dingtalk task sync, 钉钉工作流, dingtalk workflow automation, agent dingtalk orchestration, AI钉钉待办

ClawHub Agent Skills author: lm203688 v1.0.0 MIT-0 2 files body ≈ 2 569 tokens Open the sourceclawhub.ai analyzed 24 h ago

Manage DingTalk tasks and todos using the official dws CLI (v1.0.32+, 10+ domains). Teach AI agents how to create, track, sync, and automate DingTalk todo…

As a process C 59/100 · Has gaps — weak spots: result and completion, failures and branches, running it twice

IntegrationPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Running it twice w 4
30
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 · 0

✓ No critical or high findings

Files scanned: 2. 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 59/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 22 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2569 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Description length 820: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill is a mostly coherent DingTalk workflow helper, but it gives an agent broad live workplace authority with weak boundaries around raw API calls, escalation messages, and cross-platform disclosure.
LLM: suspicious (high) · VirusTotal: · 28 May 2026