creative-rendering-audit
Skill7 starsChanged 4 months agoMITView on GitHub
Audit shaders, GPU-driven effects, dithering, particles, and creative rendering for visual intent, correctness, performance, accessibility, fallbacks, evidence quality, and source licensing.
In this repository95 other files it gives its agents.
- AGENTS.mdAGENTS.md
- accessibility-auditSkill
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- agent-messaging-gatewaySkill
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- figma-generate-designSkill
- figma-generate-librarySkill
- figma-implement-designSkill
- figma-library-builderSkill
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- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. About 0 are common, 12 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈12
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Read shader and host-language source with file and line anchors.
- Distinctive: line 21
Use references/platform-evidence.md for surface-specific evidence and failure modes.
- Distinctive: line 41
No accessible or unsupported-renderer fallback: maximum 69.
- Distinctive: line 42
No rendered runtime evidence: maximum 79.
- Distinctive: line 43
No named-device performance evidence for an animated effect: maximum 89.
- Distinctive: line 49
Start with a findings table ordered by severity:
- Very specific: line 54
Use critical, high, medium, or low.
- Distinctive: line 67
Conditional pass: when the bounded effect works but platform, accessibility, or named-device evidence is incomplete.
- Distinctive: line 68
Pass: only when all required dimensions have verified evidence and no critical or high finding remains.
- Distinctive: line 72
Do not treat a deterministic fixture as live integration proof.
- Distinctive: line 73
Do not infer visual quality from a successful build.
- Distinctive: line 74
Do not hide performance variance behind an average alone.
- Distinctive: line 75
Do not recommend copying restricted reference implementations.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Creative Rendering Audit
Audit the supplied implementation and rendered behavior. Keep the audit read-only unless the user separately authorizes fixes.
Workflow
- Establish the intended visual behavior, target platforms, supported hardware, quality tiers, fallback, and user-facing acceptance criteria.
- Map the rendering path from host inputs to shader stages, textures, render targets, compositing, and final presentation.
- Gather evidence:
- Read shader and host-language source with file and line anchors.
- Capture compilation, validation, and device-loss messages.
- Exercise deterministic frames with a fixed seed and clock.
- Compare the full effect, reduced-motion path, unsupported-renderer path, and static fallback.
- Profile realistic content at the stated resolution on named hardware.
- Review every dimension in references/audit-rubric.md.
- Use references/platform-evidence.md for surface-specific evidence and failure modes.
- Reproduce or directly observe every high-severity finding. Mark code-only inferences as hypotheses.
- Report missing evidence as unassessed. Do not award a pass for a dimension that could not be tested.
Scoring
Score only verified evidence.
| Dimension | Points |
| Visual intent and interaction fit | 15 |
| Coordinate, sampling, color, and alpha correctness | 20 |
| Dither and temporal stability | 15 |
| Performance and resource bounds | 20 |
| Accessibility, fallback, and failure behavior | 20 |
| Provenance, licensing, and reproducible evidence | 10 |
Apply these caps:
- Missing or incompatible source or asset license: maximum 49.
- No accessible or unsupported-renderer fallback: maximum 69.
- No rendered runtime evidence: maximum 79.
- No named-device performance evidence for an animated effect: maximum 89.
Include a confidence value derived from assessed points divided by 100. Unknown dimensions score zero and lower confidence.
Required output
Start with a findings table ordered by severity:
| Severity | Evidence | Finding | User impact | Required correction |
Use critical, high, medium, or low. Cite file:line and attach runtime evidence when available.
Then provide:
- score, confidence, assessed dimensions, and applied caps;
- platform, device, resolution, seed, clock, and quality tier;
- checks that passed with evidence;
- unassessed behavior and the exact evidence needed;
- a verdict of
Block,Conditional pass, orPass.
Verdict rules
- Block for unsafe or incompatible licensing, inaccessible essential content, persistent rendering failure, unbounded sampling, or a reproducible severe performance regression.
- Conditional pass when the bounded effect works but platform, accessibility, or named-device evidence is incomplete.
- Pass only when all required dimensions have verified evidence and no critical or high finding remains.
Boundaries
- Do not treat a deterministic fixture as live integration proof.
- Do not infer visual quality from a successful build.
- Do not hide performance variance behind an average alone; include worst observed behavior or a percentile where tooling permits.
- Do not recommend copying restricted reference implementations.
Maintenance
Review platform evidence and reference links at least every 180 days. Refresh the registry and provenance verification dates only after inspection, then run the repository validator.
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Your trail
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

