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AC xiaohongshu-article-generator

小红书图文生成技能 - 基于热点话题自动生成小红书风格的图文内容（文案 +HTML+ 图片）

ClawHub Agent Skills author: shiker v1.0.0 MIT-0 9 files body ≈ 1 842 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 documentsInfrastructuretype 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
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
77
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

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Dangerous commands cmd-privilege temp-convert.js:34
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      args: ['--no-sandbox', '--disable-setuid-sandbox']
      detectorcode literal

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "trigger"
    • 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. 105 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1842 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 46: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -221 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 105 items
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: clean
    This skill is a local Xiaohongshu-style content generator that writes expected output files and uses browser rendering, with some setup and scoping cautions but no evidence of deception or malicious behavior.
    LLM: benign (medium) · VirusTotal: · 29 May 2026