SKILLEMALL.ai

AA shader

Write, explain, adapt, and debug practical shader code for GLSL, WebGL, Three.js ShaderMaterial, React Three Fiber, postprocess-style full-screen effects, and ShaderToy-style fragment shaders. Use when the user wants to create an effect shader, port a shader between runtimes, fix black screens or compile errors, wire uniforms like time or resolution, troubleshoot UV, normal, or color-space mistakes, or turn a visual idea into a runnable vertex/fragment pair. Also use when pairing shader output with OpenClaw canvas demos. NOT for full rendering-engine architecture, advanced offline rendering theory, or GPU-vendor-specific optimization claims that have not been verified in the target runtime.

ClawHub Agent Skills author: jvy v1.0.0 MIT-0 23 files body ≈ 1 151 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process A 81/100 · Runs to the end — weak spots: result and completion, progress reporting

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
A
81/100
Runs to the end
Result and completion w 14
0
Progress reporting w 2
0
Inputs and preconditions w 11
70
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: 23. 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 81/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 49 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 4 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1151 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 699: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 49 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This shader helper is coherent and limited to ordinary shader-writing guidance, templates, and local demo helpers.
    LLM: benign (high) · VirusTotal: · 29 May 2026