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当用户需要追热点产出稿件、围绕指定话题仿爆款写法、对已有文章做质量/违禁/SEO 优化、或需要成稿+爆款理由+可选封面与多平台适配方案时使用； 能力摘要：热点与竞品并行分析、多风格成稿与差异化输出、自动化质检与修复闭环、封面与发布建议。

ClawHub Agent Skills author: if530770 v1.0.2 MIT-0 11 files body ≈ 737 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

GeneratorWriting and documentsMarketingInfrastructuretype 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
82/100
safety, quality, tests
Safety 60%
93
Quality 40%
66
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Obfuscation obf-base64-blob scripts/check_prohibited_words.py:23
    Long base64-looking blob (quoted — discussed, not commanded)
    "political": "5Y+N5YW…aUv+W6nH…ol4/ni6x…S6i+S7tg==",
    quoted
  • low Obfuscation obf-base64-blob scripts/check_prohibited_words.py:25
    Long base64-looking blob (quoted — discussed, not commanded)
    "violence": "5oGQ…W8j+iireWHuw==",
    quoted
  • low Obfuscation obf-base64-blob scripts/check_prohibited_words.py:29
    Long base64-looking blob (quoted — discussed, not commanded)
    "crime": "6LSp5q+SfOW…e7j+iQpQ==",
    quoted
  • low Obfuscation obf-base64-blob scripts/check_prohibited_words.py:31
    Long base64-looking blob (quoted — discussed, not commanded)
    "social_sensitive": "576k…WKm+aJp+azlX…85Z+O566…v4E=",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/check_prohibited_words.py:31
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "social_sensitive": "576k…WKm+aJp+azlX…85Z+O566…v4E=",
    quoted
  • low Obfuscation obf-base64-blob scripts/check_prohibited_words.py:33
    Long base64-looking blob (quoted — discussed, not commanded)
    "platform_sensitive": "5b6u5L+h5Y+3fOWKoOW+ruS/oXzm…G5Y+WfOW…G5Y+W",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/check_prohibited_words.py:37
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    _RISK_B64 = "5bCB…aKl+iurn…mJM="
    quoted

Files scanned: 11. 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")

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. No external tools needed
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 737 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)
  • +3Description length 118: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 19 items
  • +4Reference files are cited in the instructions (3 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a disclosed content-writing workflow skill, with some automation to watch around web searches and cover image generation.
LLM: benign (high) · VirusTotal: · 5 Jun 2026