SKILLEMALL.ai
GitHub ↗ RU Sign in

BC beauty-generation-free

FREE AI image generation service for creating professional portrait images of attractive people with diverse customization options. Supports 140+ nationalities, multiple styles, and comprehensive character customization. Fast generation (3-5 seconds) with built-in content safety filters.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 2 802 tokens Open the sourcegithub.com↗ analyzed 2 d ago

FREE AI image generation service for creating professional portrait images of attractive people with diverse customization options.

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

GeneratorAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
77/100
safety, quality, tests
Safety 60%
81
Quality 40%
70
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Secrets in code medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 15

✓ No critical or high findings

Medium and low: 15
  • medium Secrets in code secret-labelled-token SKILL.md:53
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    The skill automatically uses the official free API key: `ak_O…xMI`
  • low Secrets in code secret-labelled-token SKILL.md:29
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:29
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-password-literal SKILL.md:29
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:33
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:33
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-password-literal SKILL.md:33
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:37
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:37
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-password-literal SKILL.md:37
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:53
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    The skill automatically uses the official free API key: `ak_O…xMI`
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:112
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:112
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-password-literal SKILL.md:112
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    -H "X-API-Key: ak_O…xMI" \
    quoted
  • low Secrets in code secret-password-literal SKILL.md:122
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    curl -H "X-API-Key: ak_O…xMI" \
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (beauty-generation-free) differs from the folder (beauty-generation-api)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 77 steps, 1 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 2802 tokens

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
  • -237 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 288: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 77 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.