SKILLEMALL.ai

AF dingtalk-teambition

Use for anything related to Teambition tasks and projects. Triggers on: checking my todos, what tasks are due today or this week, create a task, update task status or priority or assignee or note, mark task as done, query overdue tasks, search tasks by keyword, view task details, upload file to task, check team members, query project list, add task comment with @mention, track task progress. NOT for: non-Teambition platforms or Git operations.

ClawHub Agent Skills author: qijian v0.0.1 MIT-0 34 files body ≈ 3 403 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 37/100 · Will not run — References files that are not bundled: downloadUrl

GeneratorInfrastructureSoftware developmentPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: downloadUrl
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. 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 · 0

✓ No critical or high findings

Files scanned: 34. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: downloadUrl

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: downloadUrl
  • 0Tools and files. 1 referenced file(s) missing: downloadUrl
  • 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
  • 30Running it twice. 20 mutating operations with no state check
  • 40Consistency. Frontmatter name (dingtalk-teambition) differs from the folder (dingtalk-teambition-project)
  • 100Steps. 36 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 3403 tokens
  • low The response is described with custom markup (9 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
  • +3Output format is not stated: the model decides each time
  • -33 of 24 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 447: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (4 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
This is a mostly coherent Teambition integration, but it should be reviewed because it can change live project/task data and expose member details and signed file links without consistent guardrails.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026