SKILLEMALL.ai

AD merged-social-poster-skill

Generate professional social cards and magazine-style posters. Combines Guizang's Editorial/Swiss visual systems with magazine-poster templates. Use for 小红书图文, 公众号封面, magazine posters, social cards, carousel images, or any visual content needing high-quality rendering.

ClawHub Agent Skills author: gf1023456 v1.0.0 MIT-0 41 files body ≈ 558 tokens Open the sourceclawhub.ai analyzed 2 d ago

Generate professional social cards and magazine-style posters.

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorPlaywrightWriting and documentsDesignAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
88
Run on models
none yet
Process rating
D
41/100
Unfinished process
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token package-lock.json:18
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…uWm+fFRcIOgKBMiOBP+eXiy…9ab+DDKA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:31
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…pqL+1VwGNdUGrRr++8j8P…zPQ==",
      detector

    Files scanned: 41. 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 41/100

    • 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
    • 40Consistency. Frontmatter name (merged-social-poster-skill) differs from the folder (merged-skill)
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 17 steps
    • 100Execution cost. Instruction body is 558 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 269: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (3 of 15)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a coherent social-card rendering skill with disclosed install, rendering, and web-image behavior, though users should review persistent installation and network sourcing before enabling it.
    LLM: benign (high) · VirusTotal: · 10 Jul 2026