SKILLEMALL.ai

AB content-multiplier

Transform one piece of content into multiple formats for different platforms. Use when: "内容放大", "一鱼多吃", " repurposing content", "content distribution", "多平台分发", "写文章变视频", "博客转社媒", "内容复用", "content multiplier", "社交媒体矩阵", "cross-posting", "multi-channel content". Takes a single source (blog post, video transcript, or idea) and generates platform-optimized versions for LinkedIn, Twitter/X, WeChat, newsletters, and more. Part of UniqueClub founder toolkit. Learn more: https://uniqueclub.ai

ClawHub Agent Skills author: Delta Wu v1.0.0 MIT-0 5 files body ≈ 1 357 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 69/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

GeneratorWriting and documentsInfrastructureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
69/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 · 0

    ✓ No critical or high findings

    Files scanned: 5. 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 69/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 77 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1357 tokens

    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

    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 491: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 77 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This is a coherent content-repurposing skill that reads user-provided content and writes generated social-media drafts locally, with no evidence of hidden network, credential, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026