SKILLEMALL.ai

AB xiaohongshu-content-factory

根据主题、行业或产品制作小红书图文内容包,适用于选题、标题、完整笔记文案 和成品封面图;交付可用 PNG/JPEG 封面,不只是提示词,不自动发布。 / Create Xiaohongshu content packs with distinct angles, title options, complete posts, and actual PNG/JPEG covers from a topic, industry, or product. Use when finished posts and cover files are required; retain sources and copy versions in JishuDB without publishing automatically.

ClawHub Agent Skills author: bowen-aijishu v0.1.7 MIT-0 11 files · 3 scripts body ≈ 4 956 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

根据主题、行业或产品制作小红书图文内容包,适用于选题、标题、完整笔记文案 和成品封面图;交付可用 PNG/JPEG 封面,不只是提示词,不自动发布。 / Create Xiaohongshu content packs with distinct angles, title options, complete…

As a process B 79/100 · Nearly there — weak spots: consistency, running it twice

GeneratorAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
B
79/100
Nearly there
Running it twice w 4
30
Consistency w 8
40
When it triggers w 12
50
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 Secrets in code secret-high-entropy-token references/jishudb-setup/scripts/install-macos.sh:287
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      exactKeys(candidate.signing, ['certificateExpiresAt', 'cert…256', 'nativeFileCount'], 'candidate.signing');
      quoted

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 79/100

    • 30Running it twice. 16 mutating operations with no state check
    • 40Consistency. Frontmatter name (xiaohongshu-content-factory) differs from the folder (jishudb-xiaohongshu-content-factory)
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4956 tokens
    • 100Tools and files. No external tools needed
    • 100Steps. 41 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 1 branches, has a failure section
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 357: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 41 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill is a disclosed content workflow with mandatory JishuDB setup; its installer is high-impact but bounded and approval-gated rather than hidden.
    LLM: benign (high) · VirusTotal: · 11 Oct 2026