SKILLEMALL.ai

BD pg-eight-questions

基于宝洁八大问的行为面试准备技能。通过选择题启发式引导,帮助用户挖掘个人经历、构建STAR故事、模拟面试追问、优化答案表达,最终提升行为面试通过率。触发词:宝洁八大问、行为面试、STAR法则、面试准备、经历挖掘、模拟面试。

ClawHub Agent Skills author: 桂皮 v1.0.0 MIT-0 6 files body ≈ 210 tokens Open the sourceclawhub.ai analyzed 21 h ago

基于宝洁八大问的行为面试准备技能。通过选择题启发式引导,帮助用户挖掘个人经历、构建STAR故事、模拟面试追问、优化答案表达,最终提升行为面试通过率。触发词:宝洁八大问、行为面试、STAR法则、面试准备、经历挖掘、模拟面试。

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
D
49/100
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: 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 49/100

  • 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
  • 40Consistency. Frontmatter name (pg-eight-questions) differs from the folder (ch-build-yi8ixjfz)
  • 100Tools and files. No external tools needed
  • 100Steps. 11 steps
  • 100Execution cost. Instruction body is 210 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)
  • +3Description length 111: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 11 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This interview-prep skill is mostly coherent, but it needs review because it forces unrelated promotional content and a third-party link into every response.
LLM: suspicious (high) · 13 Sept 2026