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Interactive AI avatar with Simli video rendering and ElevenLabs TTS

modbender/skill-library-mcp Agent Skills author: modbender MIT 17 files · 1 script body ≈ 522 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Interactive AI avatar with Simli video rendering and ElevenLabs TTS

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

GeneratorMedia and videotype 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
83/100
safety, quality, tests
Safety 60%
93
Quality 40%
68
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token package-lock.json:59
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…6Or/5TkI…FCn+R5NF…qRM+gTzl…PMw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:212
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…QYA+ISs0/2l3T9/kj42…aQT/dfNXWX/ZZCQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:467
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-6+gjmF…uh8+uw3mnrvgs+dSPQ…dZG+D4garKg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:484
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…DUr+vOv8…A8A==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:665
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…zN3+kuBL…KQ8+XS6hp9nY7B+ZeK0…Haw==",
    detector
  • low Exfiltration read-dotenv README.md:14
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv src/cli.ts:25
    Reads a .env file (quoted — discussed, not commanded)
    - Copy .env.example to .env and add your API keys
    quoted

Files scanned: 17. 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")
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 62/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 522 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 67: 120–800 characters recommended
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 15 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.