SKILLEMALL.ai
GitHub ↗ RU Sign in

BF ai-era-career-planner

AI时代职业规划师技能。专为AI时代职场变化而设计，帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括：收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估（高危/中危/低危分级），并输出完整的个性化职业规划报告。关键词：职业规划、选专业、工作建议、做什么工作好、职业转型、AI时代职业、AI替代、哪些工作会被AI取代。

ClawHub Agent Skills author: mnetfairy v2.2.406 MIT-0 26 files body ≈ 1 984 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI时代职业规划师技能。专为AI时代职场变化而设计，帮助用户应对AI带来的职业冲击与机遇。当用户询问职业规划、职业建议、选专业、职场转型、未来就业方向时触发。功能包括：收集用户基本信息、霍兰德职业兴趣测评、职业价值观分析、AI时代职业影响评估（高危/中危/低危分级），并输出完整的个性化职业规划报告。关键词：职业规划、…

As a process F 35/100 · Will not run — References files that are not bundled: references/salary_database.json, references/*.md, references/industries/*.md

ProcedureSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
90
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/salary_database.json, references/*.md, references/industries/*.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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Obfuscation obf-hex-escape-chain references/insurance_broker_companies.json:212
    Escaped/char-code string obfuscation (quoted — discussed, not commanded)
    "https://baike.baidu.com/item/%E6%B3%B0%E5%BA%B7%E5%9C%A8%E7%BA%BF%E8%B4%A2%E4%BA%A7%E4%BF%9D%E9%99%A9%E8%82%A1%E4%BB%BD%E6%9C%89%E9%99%90%E5%85%AC%E5%8F%B8/19407033",
    quoted
  • low Obfuscation obf-hex-escape-chain references/insurance_broker_companies.json:238
    Escaped/char-code string obfuscation (detector / deny-list definition)
    "https://baike.baidu.com/item/%E5%AE%89%E5%BF%83%E8%B4%A2%E4%BA%A7%E4%BF%9D%E9%99%A9%E6%9C%89%E9%99%90%E8%B4%A3%E4%BB%BB%E5%85%AC%E5%8F%B8/19407012",
    detector
  • low Obfuscation obf-hex-escape-chain references/insurance_broker_companies.json:243
    Escaped/char-code string obfuscation (detector / deny-list definition)
    "source_url": "https://baike.baidu.com/item/%E5%AE%89%E5%BF%83%E8%B4%A2%E4%BA%A7%E4%BF%9D%E9%99%A9%E6%9C%89%E9%99%90%E8%B4%A3%E4%BB%BB%E5%85%AC%E5%8F%B8/19407012",
    detector
  • low Obfuscation obf-hex-escape-chain references/insurance_broker_companies.json:244
    Escaped/char-code string obfuscation (detector / deny-list definition)
    "source": "https://baike.baidu.com/item/%E5%AE%89%E5%BF%83%E8%B4%A2%E4%BA%A7%E4%BF%9D%E9%99%A9%E6%9C%89%E9%99%90%E8%B4%A3%E4%BB%BB%E5%85%AC%E5%8F%B8/19407012",
    detector
  • low Obfuscation obf-hex-escape-chain references/insurance_broker_companies.json:292
    Escaped/char-code string obfuscation (detector / deny-list definition)
    "https://baike.baidu.com/item/%E6%B0%B4%E6%BB%B4%E4%BF%9D%E9%99%A9%E7%BB%8F%E7%BA%AA%E6%9C%89%E9%99%90%E5%85%AC%E5%8F%B8/59125689",
    detector
  • low Secrets in code secret-high-entropy-token references/insurance_broker_companies.json:400
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "https://gwoss.citic-prudential.citic/uploadfiles%2Fco…ort%2F20260430%2FhQ…pdf?5Lit5L+h5L+d6K+a5Lq65a+%2FID…pLn
    detector
  • low Secrets in code secret-high-entropy-token references/insurance_broker_companies.json:405
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "source_url": "https://gwoss.citic-prudential.citic/uploadfiles%2Fco…ort%2F20260430%2FhQ…pdf?5Lit5L+h5L+d6K+a5Lq65a+%2FID…pyA
    detector
  • low Secrets in code secret-high-entropy-token references/insurance_broker_companies.json:406
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "source": "https://gwoss.citic-prudential.citic/uploadfiles%2Fco…ort%2F20260430%2FhQ…pdf?5Lit5L+h5L+d6K+a5Lq65a+%2FID…7uI
    detector
  • low Secrets in code secret-high-entropy-token references/insurance_broker_companies.json:1051
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "https://gwoss.citic-prudential.citic/uploadfiles%2Fco…ort%2F20260430%2FhQ…pdf?5Lit5L+h5L+d6K+a5Lq65a+%2FID…pLn
    detector
  • low Secrets in code secret-high-entropy-token references/insurance_broker_companies.json:1056
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "source_url": "https://gwoss.citic-prudential.citic/uploadfiles%2Fco…ort%2F20260430%2FhQ…pdf?5Lit5L+h5L+d6K+a5Lq65a+%2FID…pyA
    detector

Files scanned: 26. 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/salary_database.json
  • warning missing-ref reference to a missing file: references/*.md
  • warning missing-ref reference to a missing file: references/industries/*.md
  • note frontmatter-key unknown frontmatter key "last_published"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note frontmatter-key unknown frontmatter key "scope"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/salary_database.json, references/*.md, references/industries/*.md
  • 0Tools and files. 3 referenced file(s) missing: references/salary_database.json, references/*.md, references/industries/*.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
  • 100Steps. 78 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1984 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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
  • -221 emoji in the instructions: noise for the model
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 78 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (12 of 13)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
This career-planning skill mostly stays local, but it intentionally steers insurance-related users toward one company and has unreliable verification data.
LLM: suspicious (high) · 10 Sept 2026