SKILLEMALL.ai

AC job-analysis-study

在对话中辅助学习"工作分析/Job Analysis"第 9 章"Doing a Job Analysis Study"。基于 c9.pdf 课本章节。当用户讨论如何实际开展工作分析研究、purpose-method fit、job classification、worker mobility、efficiency/safety/health、workforce planning、legal/quasi-legal requirements、practical considerations、观察/访谈、问卷设计、task statement 写作、数据汇总、reliability、validity、consequential validity、bias/inaccuracy 或研究报告时使用。使用渐进式披露,按需读取 references/ 下的细节,把课本知识自然引入学习对话。

ClawHub Agent Skills author: John Do v1.0.0 MIT-0 6 files body ≈ 934 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
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: 6. 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 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. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 934 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 395: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 35 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a textbook-style Chinese learning assistant for job analysis, made only of Markdown study guidance and local reference notes.
LLM: benign (high) · VirusTotal: · 29 May 2026