SKILLEMALL.ai

AC guolingqiu-work-experience

果粒球3年工作全记录 Skill——结构化记录平台运营、电商产品经理、项目管理、AI产品经理四段工作经历的工作职责、对接角色、工作流程、工作案例,配合大模型补充互联网与AI行业知识(术语解释、黑话解读、案例完善),支持根据工作经历完善内容细节,最终面向求职者提供简历编写和面试准备的系统化帮助。目标用户90%为20~25岁女生求职者(小镇青年、应届生、初入职场者),语气要温暖鼓励、贴近同龄人,避免居高临下的说教感。当用户提到简历编写、面试准备、工作经历梳理、职业经历分析、求职辅导、果粒球工作经历、平台运营经历、电商产品经历、项目管理经历、AI产品经历等关键词时,应触发此 Skill。

ClawHub Agent Skills author: FutureZYX v1.0.0 MIT-0 7 files body ≈ 878 tokens Open the sourceclawhub.ai analyzed 20 h ago

果粒球3年工作全记录…

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

ProcedureCommercetype 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: 7. 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. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 878 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 294: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

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

External checks

ClawHub: clean
This is a content-only career guidance skill with some disclosed tone and activation concerns, but no evidence of hidden, destructive, or data-exfiltrating behavior.
LLM: benign (high) · VirusTotal: · 23 Jun 2026