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Governance

Skill Suraj787/motif/skills/governance

Open-source interaction-design intelligence for AI coding agents - securely discover, select, adapt and validate UI motion, effects and interaction patterns.

Install
npx -y skills add Suraj787/motif --skill governance

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when decisions, provenance, design genome, interaction graph, debt, and drift must be recorded and reconciled so the system learns and stays accountable.

SKILL.md

1.3 KB, as published. Nobody here has run it

Governance and Learning

Responsibility: Persist why every decision was made and where it came from, keep the design genome and interaction graph current, and track debt and drift over time.

When to invoke

  • Steps 6-7 (load/build genome and graph) and steps 17-18 (record, debt, drift).

Inputs

  • Decisions and rationale from every prior step; sources and licences; the built UI.

Outputs

  • Design Product Genome extracted or updated.
  • Interaction Specification Graph built or updated.
  • Decision ledger entries with rationale, confidence, and provenance.
  • Debt items opened and drift reconciled against genome and graph.
  • Exceptions recorded where a hard rule was justifiably relaxed.

Engine data + CLI

  • Reads/writes governance/ (design-genome, interaction-graph, decision-ledger, debt, drift, exceptions, learning).
  • ii genome, ii graph, ii ledger, ii debt, ii drift.

Notes

Record provenance for anything sourced externally. Mark inferences with a confidence level; never log an inference as verified fact. Every justified hard-rule exception must be explicit and traceable.

Gives 0 of the 12 instructions most audit compliance skills give

Counted across 936 of the 1,487 authors here whose files we hold, read 2026-08-06

  • group findings by severityin 44 of 936
  • Fetch latest guidelines before each reviewin 43 of 936, across 3 files
  • Check files against all fetched rulesin 42 of 936, across 2 files
  • Output findings in terse file:line formatin 41 of 936, across 3 files
  • Ask user which files to review if none specifiedin 41 of 936, across 3 files
  • Read specified files or prompt user for filesin 39 of 936, across 1 file
  • generate the audit reportin 39 of 936, across 36 files
  • assign a severity to every findingin 25 of 936
  • run automated accessibility scansin 23 of 936, across 13 files
  • map findings to WCAG criteriain 20 of 936, across 10 files
  • confirm audit scopein 19 of 936, across 9 files
  • check title tags and meta descriptions for uniquenessin 19 of 936, across 5 files

Said here and by no other author read

  • persist decision rationale and provenance
  • extract or update the design genome
  • build or update the interaction graph
  • record decision ledger entries with rationale
  • open debt items and reconcile drift
  • record exceptions where a hard rule was relaxed

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.