SKILLEMALL.ai

BD labor-dispute

劳动者维权技能体系。覆盖从入职签合同到仲裁诉讼的全流程,共8个技能卡。 适用场景: - 入职前检查合同条款 → 用 contract-signing - 离职时计算补偿金 → 用 compensation-n - 被违法解除合同 → 用 illegal-dismissal-2n - 申请劳动仲裁 → 用 labor-arbitration-process - 准备仲裁证据 → 用 evidence-burden - 竞业限制纠纷 → 用 non-compete - 单位没缴社保 → 用 social-insurance - 发生工伤/职业病 → 用 work-injury-compensation 当你遇到劳动纠纷时,先判断属于哪个场景,再调用对应的子技能。

ClawHub Agent Skills author: jingyu525 v1.0.0 MIT-0 11 files body ≈ 358 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
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. 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: 3. 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 38/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 358 tokens
  • 100Running it twice. No mutating operations

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 335: enough signal without eating the budget
  • +4Structure: 5 headings
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This appears to be a coherent labor-contract guidance skill, with only a minor risk that broad triggers could make it activate in loosely related employment conversations.
LLM: benign (medium) · VirusTotal: · 29 May 2026