SKILLEMALL.ai

BF ShortApi Image Models Aggregation Skill

Use this skill as an entry point to discover, select, and fetch specific integration parameters for all supported AI image generation models.

ClawHub Agent Skills author: ShortAPl v1.0.3 MIT-0 2 files body ≈ 1 790 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 37/100 · Will not run — References files that are not bundled: image_url

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: image_url
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning missing-ref reference to a missing file: image_url

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: image_url
  • 0Tools and files. 1 referenced file(s) missing: image_url
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (ShortApi Image Models Aggregation Skill) differs from the folder (shortapi-ai-image-generation)
  • 60Failures and branches. 2 branches
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 1790 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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 141: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a disclosed ShortAPI image-generation helper that uses a ShortAPI key and polling in ways that fit its purpose, with a few usability and documentation cautions.
LLM: benign (high) · VirusTotal: · 29 May 2026