SKILLEMALL.ai

CD workboard

当用户想用 OpenClaw Workboard 看板管理智能体工作卡片时使用——列出/创建/查看卡片、把就绪卡片分派给子智能体 worker、查看卡片生命周期与诊断、或排查卡片无法保存、分派仅数据、worker 不启动等问题。涉及 openclaw workboard CLI、/workboard 斜杠命令、看板状态机与会话生命周期同步。

ClawHub Agent Skills author: Jean Bai v2026.7.9 MIT-0 5 files body ≈ 2 501 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

当用户想用 OpenClaw Workboard 看板管理智能体工作卡片时使用——列出/创建/查看卡片、把就绪卡片分派给子智能体 worker、查看卡片生命周期与诊断、或排查卡片无法保存、分派仅数据、worker 不启动等问题。涉及 openclaw workboard CLI、/workboard…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI and agentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
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 · 0

✓ No critical or high findings

Files scanned: 5. 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 46/100

  • 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
  • 30Running it twice. 9 mutating operations with no state check
  • 40Consistency. Frontmatter name (workboard) differs from the folder (workboard-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 47 steps
  • 100Execution cost. Instruction body is 2501 tokens
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 171: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: clean
This is a documentation-only Chinese-language skill for using OpenClaw Workboard, with its state changes and worker dispatch behavior disclosed and scoped to that tool.
LLM: benign (high) · VirusTotal: · 10 Jul 2026