AB inspiration-case-figure-guide
Use when the user wants to design, prompt, generate, critique, or integrate publication-ready research-paper inspiration figures: motivating examples, problem-teaser figures, failure cases, before/after contrast panels, observation-to-method case stories, reviewer-facing limitation cases, and introduction figures that explain why a paper is needed. Generated from research-paper-figure-skill-factory v1.0.1 with full-feasible local PDF evidence, startup-plan-only first replies, strict text/image separation, mandatory text-candidate to visual-candidate setup to IMAGE_ONLY candidate-board to candidate-review workflow, optional sample images, ChatGPT web Create image / ChatGPT Images 2.0, Codex $imagegen first, all-step/current-position state footers, and next-question help in every text reply.
As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 34. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 68/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 4 mutating operations with no state check
- 85Steps. 80 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 10 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2662 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 800: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 80 items
- +4Reference files are cited in the instructions (11 of 11)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.