SKILLEMALL.ai
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BF snap-illustrator

Instantly analyze markdown articles, generate prompts, and seamlessly insert AI illustrations with zero configuration required. Supports Pollinations API (zero-config) with graceful fallback to HuggingFace.

ClawHub Agent Skills author: wysaid v1.0.5 MIT-0 4 files body ≈ 1 453 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: images/img_name.jpg

AnalyzerAI and agentsWriting and documentsDesigntype 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
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: images/img_name.jpg
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: images/img_name.jpg

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: images/img_name.jpg
  • 0Tools and files. 1 referenced file(s) missing: images/img_name.jpg
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 3 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 9 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1453 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

  • +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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 206: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill mostly does what it claims, but it asks the agent to permanently save proxy settings inside the skill and can use stored or ambient HuggingFace credentials with limited disclosure.
LLM: suspicious (high) · VirusTotal: · 29 May 2026