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AC youtube-thumbnail

Design, critique, and test YouTube video thumbnails and preview cards for stronger, better-qualified clicks. Use when developing thumbnail concepts, pairing a thumbnail with a title, directing image creation, checking small-screen legibility, preparing a YouTube experiment, or diagnosing thumbnail performance. Do not use for general video editing, channel strategy, or artwork for another platform.

magnus919/agent-skills Agent Skills author: magnus919 MIT 12 files · 2 scripts body ≈ 1 549 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Design, critique, and test YouTube video thumbnails and preview cards for stronger, better-qualified clicks.

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerYouTubeMedia and videotype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 10. 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 60/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 4 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 50When it triggers. No condition that starts the skill
    • 85Steps. 20 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1549 tokens
    • 100Progress reporting. Reports progress
    • low No test case covers injection arriving through data

    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
    • +3Output format is not stated: the model decides each time
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 400: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.