deterministic-design — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited deterministic-design (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use to catch AI-generated UI that "looks off", is misaligned or centered-mush, or fails usability — when you need to PROVE a layout is balanced and usable instead of trusting the model's eye. Compose it with any taste/token design skill before reporting design "done".
_Source: connerkward/deterministic-design-skill (MIT)._
Thesis: determinism beats AI randomness. A model can't trust its own eye on layout — so don't. Render the UI and measure it.
Two sub-skills (load as needed):
+ 8-pt spacing, and layout-audit.js computes centroid / optical-center / pixel-oracle balance and draws an annotated screenshot. Numbers, not vibes. Plus a render-then- critique vision loop.
Nielsen's 10 + interaction heuristics via a SEPARATE fresh-eyes judge → prioritized fix list.
This improves existing design skills (including the default Anthropic one) by adding the layer they lack — it doesn't just advise on taste, it renders, measures, and judges the output. Composable with any design skill.
In central this lives as a subdir of ckw-design; it publishes separately as deterministic-design-skill (its own distribution) via publish-skill. One of the two flagship narratives — the determinism one; its sibling is human-in-the-loop (lookdev).
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.