heuristic-5a7fd7 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited heuristic-5a7fd7 (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.
<!-- AUTO-GENERATED. Do not edit here. Source: skills/ui-craft/ + commands/*.md. Regenerate with node scripts/sync-harnesses.mjs. -->
Context: this sub-skill is one lens of the broader ui-craft skill. If the ui-craft skill is also installed, read its SKILL.md first for Discovery + Anti-Slop + Craft Test, then apply the specific lens below.
Score the UI at the target the user described against Nielsen's 10 + 6 design laws. Load the ui-craft skill.
Step 1 — Load the methodology. Read references/heuristics.md for the full rubric, scoring definitions, design law details, and the required output format. Do NOT invent a new format or a new scale.
Step 2 — Walk Nielsen's 10 heuristics. Score each 1-5 per the rubric:
For every heuristic, write a concrete finding — quote text, count elements, name the broken flow. Vague findings are rejected.
Step 3 — Audit the 6 design laws. PASS / FAIL each with a specific detail:
Step 4 — Persona walkthrough (if `--persona=` present). If the args include --persona=<name>, load references/personas.md and run the matching walkthrough checklist. Supported: priya, jordan, adaeze, kwame, margo, all. Output the walkthrough as a | Checklist item | Pass/Fail | Finding | Impact | table. Without the flag, skip this step.
Step 5 — Rank findings by impact tag. Impact order: blocks-conversion > adds-friction > reduces-trust > minor-polish. Include at most 5 findings in the ranked list; cut anything at minor-polish unless there are no higher-impact findings.
Step 6 — Compute the UsabilityScore. Roll the scorecard into a 0-100 number + grade per the UsabilityScore formula in references/heuristics.md: heuristic_base = round(((mean(nielsen_scores) − 1) / 4) × 100), minus 5 × (failed design laws), clamped [0,100]. Same A/B/C/D/F bands as UICraftScore. Always label it (judged) — it is not deterministic and must never gate CI. If the args include --json, also emit the machine-readable block. If the user asks for the full picture, build the Extended quality report by fetching the deterministic UICraftScore (node scripts/eval.mjs <path> --json or the score_ui MCP tool) and placing both side by side — never average them.
Step 7 — Output. Use the exact scorecard format in references/heuristics.md:
## Heuristic Scorecard table## Design Law Audit table## Persona Walkthrough table (only if --persona= was passed)## Top findings (ranked by impact) — numbered list, 3-5 items## UsabilityScore block — the 0-100 score + grade + component breakdownKnob awareness: knob-agnostic. Usability is not a knob — a 2 is a 2 whether CRAFT_LEVEL is 3 or 9. Do not soften scores based on CRAFT_LEVEL.
Output contract:
Do NOT edit code. This is a scored critique.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.