AD threejs-procedural-vfx
Author production real-time VFX in Three.js. Use for filmic HDR lens-flare compositors, highlight-derived ghosts, field-angle pupil deformation, localized glare and bloom, raymarched aurora curtains, finite-footprint emissive slabs, uniform volume integration, equirectangular radiance probes, WebGPU voxel fire and smoke, coupled volumetric fluid fields, mesh-surface emitters, signed-distance fire collisions, ship-conforming reentry plasma, generated capsule wakes, instanced analytic sparks, timed dissolving debris, dense-swap effect pools, additive holographic projections, Fresnel rim shells, scanline banding, glitch displacement, swept shape-to-shape handovers, and explicit scene-relative HDR emission hierarchy.
Author production real-time VFX in Three.js. Use for filmic HDR lens-flare compositors, highlight-derived ghosts, field-angle pupil deformation, localized…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 29. 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 43/100
- 0Result and completion. Does not say what the result is
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 17 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1519 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 722: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.