SKILLEMALL.ai

BD career-toolkit

职业规划 + 简历生成 + 求职优化。Holland 测评与行动规划;7 套主题简历渲染、PDF 导出;JD 关键词匹配、ATS 检查、Bullet 量化改写。触发词:职业规划、生涯规划、考研就业、写简历、生成简历、导出 PDF、匹配 JD、ATS 检查、简历优化、量化改写、毕业迷茫。

ClawHub Agent Skills author: Pluto417-Qing v0.1.0 MIT-0 33 files body ≈ 515 tokens Open the sourceclawhub.ai analyzed 2 d ago

职业规划 + 简历生成 + 求职优化。Holland 测评与行动规划;7 套主题简历渲染、PDF 导出;JD 关键词匹配、ATS 检查、Bullet 量化改写。触发词:职业规划、生涯规划、考研就业、写简历、生成简历、导出 PDF、匹配 JD、ATS 检查、简历优化、量化改写、毕业迷茫。

As a process D 46/100 · 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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: 32. 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 515 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 143: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This career and resume skill is coherent and purpose-aligned, but users should be mindful that it stores sensitive career data locally and can share it to Feishu when asked.
LLM: benign (high) · VirusTotal: · 31 Jul 2026