BF ai-poster-generator
AI Poster Image Generator Skills to Generate Multi-Page Image Carousels from Templates such as AI Poster Sota Models Nano Banana, Nano Banana-2 ,Imagen-2 and more are available
AI Poster Image Generator Skills to Generate Multi-Page Image Carousels from Templates such as AI Poster Sota Models Nano Banana, Nano Banana-2 ,Imagen-2 and…
As a process F 32/100 · Will not run — weak spots: steps, result and completion, when it triggers
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 9625 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "env" - note
frontmatter-keyunknown frontmatter key "dependencies"
Process rating: all ten parameters 32/100
- 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
- 30Steps. 2 steps, 6 vague phrases
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (ai-poster-generator) differs from the folder (image-generator)
- 40Execution cost. Instruction body is 9625 tokens: crowds the task out of the window
- 100Tools and files. No external tools needed
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 176: enough signal without eating the budget
- +4Structure: 14 headings
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.