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AC unity-plugin

Control Unity Editor via OpenClaw Unity Plugin. Use for Unity game development tasks including scene management, GameObject/Component manipulation, debugging, input simulation, and Play mode control. Triggers on Unity-related requests like inspecting scenes, creating objects, taking screenshots, testing gameplay, or controlling the Editor.

modbender/skill-library-mcp Agent Skills author: modbender MIT 8 files · 1 script body ≈ 3 503 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Control Unity Editor via OpenClaw Unity Plugin.

As a process C 61/100 · Has gaps — weak spots: result and completion, consistency, running it twice

ProcedureGitHubSoftware developmentAI 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
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
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 · 0

    ✓ No critical or high findings

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "disableModelInvocation"

    Process rating: all ten parameters 61/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 24 mutating operations with no state check
    • 40Consistency. Frontmatter name (unity-plugin) differs from the folder (openclaw-unity-skill)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 120 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 3503 tokens
    • 100Progress reporting. Reports progress
    • low 12 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)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +2Single-language instructions
    • +3Description length 341: enough signal without eating the budget
    • +4Structure: 53 headings
    • +3Step-by-step instructions: 120 items
    • +4Has examples (15 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.