SKILLEMALL.ai

AC illegal-dismissal-guide

违法辞退应对全流程辅助技能。当用户提到违法解除、违法辞退、被开除、被辞退、N+1、2N、经济补偿金、赔偿金、末位淘汰、调岗降薪、不胜任工作、被迫解除、第38条、第40条、第87条等场景时使用此技能。覆盖解除合法性判断、N/N+1/2N计算、被迫解除操作、仲裁请求设计、证据清单。适用于劳动者应对违法辞退全流程。

ClawHub Agent Skills author: wangxiaohu1314 v1.0.0 MIT-0 4 files body ≈ 602 tokens Open the sourceclawhub.ai analyzed 2 d ago

违法辞退应对全流程辅助技能。当用户提到违法解除、违法辞退、被开除、被辞退、N+1、2N、经济补偿金、赔偿金、末位淘汰、调岗降薪、不胜任工作、被迫解除、第38条、第40条、第87条等场景时使用此技能。覆盖解除合法性判断、N/N+1/2N计算、被迫解除操作、仲裁请求设计、证据清单。适用于劳动者应对违法辞退全流程。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 4. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 602 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 155: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill is a disclosed labor-rights guidance and compensation calculator with no hidden data access, credentials use, network behavior, or persistence beyond writing a user-requested report.
LLM: benign (high) · VirusTotal: · 25 Jun 2026