AF image-forge
Use when an agent invokes ImageForge to generate or edit raster images with NextAI Code, configure API key/model, diagnose setup, or check whether the image-forge skill has a newer version.
Use when an agent invokes ImageForge to generate or edit raster images with NextAI Code, configure API key/model, diagnose setup, or check whether the…
As a process F 48/100 · Will not run — References files that are not bundled: references/image-brief.md, scripts/image_forge.py
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/image-brief.md - warning
missing-refreference to a missing file: scripts/image_forge.py
Process rating: all ten parameters 48/100
- 0Tools and files. 2 referenced file(s) missing: references/image-brief.md, scripts/image_forge.py
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Inputs and preconditions. Does not say what the process needs to start
- 40Consistency. Frontmatter name (image-forge) differs from the folder (nextai-image-forge)
- 50When it triggers. No condition that starts the skill
- 100Steps. 31 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 1636 tokens
- 100Running it twice. No mutating operations
- 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
- +1No license
- +2Single-language instructions
- +3Description length 189: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.