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BF ai-image

Full AI image creation workflow — intent classification, prompt enhancement, multi-direction generation via fal.ai, and error recovery. Triggers on "generate image", "ai image", "create image", "make an image", "image generation", "/ai-image", or any image creation request.

ClawHub Agent Skills author: Lucius Pang v1.0.2 MIT-0 2 files body ≈ 2 665 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 47/100 · Will not run — References files that are not bundled: references/prompt-library-curated.json, references/prompt-templates.md

ProcedureAI and agentsInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: references/prompt-library-curated.json, references/prompt-templates.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 2. 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: references/prompt-library-curated.json
  • warning missing-ref reference to a missing file: references/prompt-templates.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/prompt-library-curated.json, references/prompt-templates.md
  • 0Tools and files. 2 referenced file(s) missing: references/prompt-library-curated.json, references/prompt-templates.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (ai-image) differs from the folder (phy-ai-image)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 50 steps
  • 100Execution cost. Instruction body is 2665 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 274: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 50 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)

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

External checks

ClawHub: clean
This is a straightforward fal.ai image-generation workflow that discloses its external API use and local saves, with some privacy and packaging caveats users should understand.
LLM: benign (high) · VirusTotal: benign · 28 May 2026