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CF career-planner-china

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 v2.99.99 MIT-0 25 files body ≈ 1 942 tokens Open the sourceclawhub.ai↗ analyzed 12 h 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
C
67/100
safety, quality, tests
Safety 60%
74
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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 · 14

✓ No critical or high findings

Medium and low: 14
  • medium Obfuscation obf-hex-escape-chain references/emerging_industries/2026_careers.md:67
    Escaped/char-code string obfuscation
    **来源**：[https://damodev.csdn.net/69a163930a2f6a37c593fb3d.html](https://damodev.csdn.net/69a163930a2f6a37c593fb3d.html) [https://www.liepin.com/zpll…71a](https://www.liepin.com/zpll…71a) [
  • medium Obfuscation obf-base64-blob references/emerging_industries/2026_careers.md:127
    Long base64-looking blob
    **来源**：[https://xn--…com/rd/a/v1/job-detail?p=…
  • medium Obfuscation obf-hex-escape-chain references/emerging_industries/2026_careers.md:150
    Escaped/char-code string obfuscation
    **来源**：[https://baike.baidu.com/item/%E4%B8%AD%E5%9B%BD%E7%A7%91%E5%AD%A6%E9%99%A2%E6%B7%B1%E5%9C%B3%E5%85%88%E8%BF%9B%E6%8A%80%E6%9C%AF%E7%A0%94%E7%A9%B6%E9%99%A2/1209696](https://baike.baidu.com/ite
  • low Secrets in code secret-high-entropy-token references/emerging_industries/2026_careers.md:127
    High-entropy token-like string (may be an id, hash or a credential)
    **来源**：[https://xn--…com/rd/a/v1/job-detail?p=…
  • low Obfuscation obf-hex-escape-chain references/insurance_broker_companies.json:217
    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:243
    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:248
    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:249
    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:297
    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:405
    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:410
    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:411
    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:1060
    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:1065
    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: 25. 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. 79 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1942 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
  • -223 emoji in the instructions: noise for the model
  • -31 of 3 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: 79 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (11 of 12)

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

External checks

ClawHub: suspicious
The skill is mostly a China-focused career planner, but it contains conflicting instructions that could cause automatic email, memory storage, follow-up pushes, and commercially steered insurance recommendations.
LLM: suspicious (high) · 13 Sept 2026