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AB code2animation

End-to-end video production skill using the code2animation framework (https://github.com/etrobot/code2animation). Use this skill whenever the user wants to produce a code animation video, tech explainer video, or any animated video using code2animation — including writing the script, generating TTS audio, creating HTML/React visual assets, and rendering the final MP4. Trigger on any of: "make a video", "create an animation", "generate a code animation", "produce a tech video", "write a code2animation script", "render a video with code2animation", or any request that involves scripting + TTS + rendering in this stack. Always use this skill for the full pipeline, not just individual steps.

modbender/skill-library-mcp Agent Skills author: modbender MIT 36 files body ≈ 3 195 tokens Open the sourcegithub.com↗ analyzed 2 d ago

End-to-end video production skill using the code2animation framework (https://github.com/etrobot/code2animation). Use this skill whenever the user wants to…

As a process B 77/100 · Nearly there — no weak spots found

ProcedureGitHubPlaywrightSoftware developmentMedia 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
A
91/100
safety, quality, tests
Safety 60%
89
Quality 40%
93
Run on models
none yet
Process rating
B
77/100
Nearly there
Failures and branches w 10
50
Tools and files w 18
60
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

    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 · 11

    ✓ No critical or high findings

    Medium and low: 11
    • low Secrets in code secret-high-entropy-token package-lock.json:287
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…SzS+cfgl…B0A==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:300
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…7pY+zoMV…h0x/Ptw8…8dg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:316
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…b00+Gxjx…zRc/oZwU…hzA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:380
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:412
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…Dsc+j03S…0oA==",
      detector
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:152
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha5…SzS+cfgl…B0A==}
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:156
      High-entropy token-like string (may be an id, hash or a credential)
      resolution: {integrity: sha5…ToE+vYgD…UJ8+N1Am3Mz4+xOBy…f4D+CpkA==}
    • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:162
      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:186
      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:222
      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 Dangerous commands cmd-privilege scripts/render.js:307
      Privilege escalation / world-writable permissions (string literal in code, not executed)
      '--disable-setuid-sandbox',
      code literal

    Files scanned: 36. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 77/100

    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 70 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3195 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 696: enough signal without eating the budget
    • +4Structure: 33 headings
    • +3Step-by-step instructions: 70 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.