SKILLEMALL.ai

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

YouMind-OpenLab/ai-image-prompts-skill Agent Skills author: YouMind-OpenLab 14 files · 2 scripts body ≈ 4 134 tokens Open the sourcegithub.com↗ analyzed 2 d ago

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

GeneratorGitHubYouTubeAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
76
Run on models
none yet
Process rating
D
46/100
Unfinished process
References files that are not bundled: {sourceMedia[0]}, references/*.json
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. 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:31
    High-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-token pnpm-lock.yaml:43
    High-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-token pnpm-lock.yaml:61
    High-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-token pnpm-lock.yaml:73
    High-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-token pnpm-lock.yaml:175
    High-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-ref reference to a missing file: {sourceMedia[0]}
  • warning missing-ref reference to a missing file: references/*.json

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: {sourceMedia[0]}, references/*.json
  • 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.