SKILLEMALL.ai

BC dingtalk

DingTalk channel plugin for OpenClaw - send and receive messages via DingTalk (钉钉)

ClawHub Agent Skills author: chan v1.0.0 7 files body ≈ 574 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
97
Quality 40%
69
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration exfil-secret-in-url index.ts:87
    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/message/corpconversation/asyn…_v2?access_token=…
    placeholder
  • low Exfiltration exfil-secret-in-url index.ts:248
    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 probe.ts:37
    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/microapp/list?access_token=…
    placeholder

Files scanned: 7. 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 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 574 tokens

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 82: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The DingTalk integration mostly matches its stated messaging purpose, but its inbound webhook handling appears to accept messages without visible DingTalk signature/origin or allowlist enforcement.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026