SKILLEMALL.ai

AF article-illustrator

Insert scrapbook-style illustrations into articles using image generation (GLM or OpenRouter). Use when the user wants to add images to an article, create illustrated content, or requests "illustrate this article", "add images to this article", "generate pictures for this post", "insert illustrations".

ClawHub Agent Skills author: Chunhua Liao v1.3.0 7 files body ≈ 1 611 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 68/100 · Will not run — References files that are not bundled: image_url

GeneratorWriting and documentsDesigntype 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
F
68/100
Will not run
References files that are not bundled: image_url
Tools and files w 18
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: image_url

Process rating: all ten parameters 68/100

Will not run. References files that are not bundled: image_url
  • 0Tools and files. 1 referenced file(s) missing: image_url
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (article-illustrator) differs from the folder (scrapbook-illustrator)
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 42 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 1611 tokens
  • 100Progress reporting. Reports progress

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 303: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
This image-generation skill is purpose-aligned, but it needs review because it reads broad local credential files and shows unsafe shell-style execution patterns for generated text.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026