CD ai-image-prompts-skill
Recommend curated prompts from a 10,000+ real-world image generation prompt library. Works with ANY AI image model — Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL-E 3, Flux, Stable Diffusion, and more. Use this skill when users want to: - Find proven image generation prompts (any model) - Get prompt inspiration for portraits, products, social media, posters, etc. - Create illustrations for articles, videos, podcasts, or marketing content - Browse categorized prompt templates with sample images - Translate and understand prompt techniques
Recommend curated prompts from a 10,000+ real-world image generation prompt library.
As a process D 46/100 · Unfinished process — References files that are not bundled: {sourceMedia[0]}, references/*.json
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpnpm-lock.yaml:31High-entropy token-like string (may be an id, hash or a credential)resolution: {integrity: sha5…7pY+zoMV…h0x/Ptw8…8dg==} -
low Secrets in code
secret-high-entropy-tokenpnpm-lock.yaml:43High-entropy token-like string (may be an id, hash or a credential)resolution: {integrity: sha5…b00+Gxjx…zRc/oZwU…hzA==} -
low Secrets in code
secret-high-entropy-tokenpnpm-lock.yaml:61High-entropy token-like string (may be an id, hash or a credential)resolution: {integrity: sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==} -
low Secrets in code
secret-high-entropy-tokenpnpm-lock.yaml:73High-entropy token-like string (may be an id, hash or a credential)resolution: {integrity: sha5…Dsc+j03S…0oA==} -
low Secrets in code
secret-high-entropy-tokenpnpm-lock.yaml:175High-entropy token-like string (may be an id, hash or a credential)resolution: {integrity: sha5…NS8+tHW7…WOF+PEzk…X4Q==}
Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: {sourceMedia[0]} - warning
missing-refreference to a missing file: references/*.json
Process rating: all ten parameters 46/100
- 0Tools and files. 2 referenced file(s) missing: {sourceMedia[0]}, references/*.json
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Steps. 67 steps, 6 vague phrases
- 60Result and completion. Output format stated, no completion criterion
- 70Execution cost. Instruction body is 4134 tokens
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 top-level sections: this looks like several domains in one skill
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)
- -31 of 2 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 576: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 67 items
- +3Output format is stated explicitly
- +4Has examples (17 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.