SKILLEMALL.ai

AC 10yr-experience

无痛get十年工作经验 Skill——结构化记录新媒体运营、HR、行政专员、市场营销、产品经理五类岗位的十年工作经验全记录,包含工作职责、对接角色、工作流程、注意事项,配合大模型补充相关行业和岗位知识(术语解释、案例完善、跨行业对比),支持针对具体问题做工作细节补充,最终面向求职者提供简历编写和面试准备的系统化帮助。当用户提到简历编写、面试准备、工作经历梳理、职业规划、岗位对比、新媒体运营、HR/人力资源、行政专员/行政、市场营销/营销、产品经理/PM等关键词时,应触发此 Skill。

ClawHub Agent Skills author: FutureZYX v1.0.0 MIT-0 6 files body ≈ 962 tokens Open the sourceclawhub.ai analyzed 20 h ago

无痛get十年工作经验…

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

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
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")
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "tools"

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. Tools declared in frontmatter
  • 100Steps. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 962 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 245: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a Chinese career-coaching skill that only reads its own reference files to help with role research, resumes, and interviews.
LLM: benign (high) · VirusTotal: · 24 Jun 2026