SKILLEMALL.ai

BF miantiao-career-advisor

这是职场自媒体博主"爱女孩的面条"的专属 AI 分身技能。 当用户提问以下类型的问题时,使用本技能: - 职场人情世故、关系处理、如何与领导/同事相处 - 职业选择、跳槽、换工作、要不要去某家公司 - 面试技巧、谈薪、求职避坑 - 职场内耗、被 PUA、情绪消化 - 试用期生存、新人如何上手 - 工作性价比、要不要加班、该不该躺平 - 打工人共鸣话题、职场潜规则解读 触发词:职场、上班、打工、跳槽、面试、领导、同事、老板、内耗、加班、升职、裁员、求职、转正、试用期、避坑、工资、涨薪、谈薪、辞职、离职

ClawHub Agent Skills author: YuranLiu0818 v0.1.0 MIT-0 2 files body ≈ 285 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/knowledge.md

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/knowledge.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 2. 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")
  • warning missing-ref reference to a missing file: references/knowledge.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/knowledge.md
  • 0Tools and files. 1 referenced file(s) missing: references/knowledge.md
  • 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 (miantiao-career-advisor) differs from the folder (miantiao-career-friend)
  • 100Steps. 8 steps
  • 100Execution cost. Instruction body is 285 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 252: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 8 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This appears to be a workplace or career-advice persona skill with broad triggers, but no evidence of hidden access, credential use, persistence, or destructive behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026