Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Use when the rule set is over the Augment budget, when a new rule would breach it, or when asked to audit / merge / prune rules — runs the audit pipeline and proposes a verdict per rule.
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See how to installReview the instructions the agent will receive before you install.
measure_augment_budget --check fails (utilisation ≥ 0.95)rule-writingDo NOT use this skill for:
rule-writingrule-writingThreshold-lift is forbidden. When the budget breaches, the
content must shrink — not the gate. Loosening FAIL_THRESHOLD in
scripts/measure_augment_budget.ts to make CI pass is an explicit
anti-pattern. The only valid budget-growth move is an ADR that
raises TOTAL_CAP.
./scripts-run src/scripts/measure_augment_budget --json > /tmp/budget-before.json
./scripts-run src/scripts/measure_rule_budget --json > /tmp/rule-budget-before.json
The audit infrastructure already exists — compose it:
./scripts-run src/scripts/audit_auto_rules # → agents/runtime/reports/auto-rules-audit.{json,md}
./scripts-run src/scripts/audit_overlap # → appends overlap pairs to the MD
./scripts-run src/scripts/audit_likelihood # → agents/runtime/reports/auto-rules-likelihood.json
Then read agents/runtime/reports/auto-rules-audit.md end-to-end.
For each rule the audit surfaces (overlap pair, low-likelihood, oversized, or the new addition that triggered this skill), assign exactly one verdict:
| Verdict | Test |
|---|---|
| keep | Iron-Law / always-on safety net, no overlap, fires often |
| merge | ≥ 2 rules same domain, near-identical triggers, overlap ≥ 0.4 |
| delete | Never fires (low-likelihood + no path/keyword hit in 30 days), or fully subsumed by a skill |
| move-to-context | Body is reference material (tables, mechanics, examples) — the obligation is short, the rest is lookup |
| promote-to-skill | Body has numbered steps / a workflow — not a constraint |
One Markdown table, one row per flagged rule, before any file change. User approves the list. No silent edits.
For each approved verdict:
routes_to: references.src/rules/
and the corresponding dist/agent-src/rules/ projection.src/agent-src/contexts/<area>/<name>.md, replace the
rule body with the obligation + a load_context: pointer.src/skills/<name>/SKILL.md, replace the rule
with an auto-trigger stub that routes to it (or delete the rule
entirely if the skill's own trigger suffices).bash scripts/condense.sh --sync
./scripts-run src/scripts/condense --generate-tools
./scripts-run src/scripts/measure_augment_budget --check # must exit 0
./scripts-run src/scripts/skill_linter --all # 0 FAIL
Then run your package's full CI pipeline (see Taskfile.yml for the
canonical sequence) before pushing.
Append a snapshot to agents/runtime/.augment-budget-history.jsonl:
./scripts-run src/scripts/measure_augment_budget --trend-append
Commit the cleanup as a separate chunk from any rule-add commits so the history shows "added X" + "cleaned up Y" as distinct steps.
measure_augment_budget --check output showing utilisation < 0.95FAIL_THRESHOLD to dodge the auditroutes_to: pointer without
updating the pointer's sourceTOTAL_CAP) without an ADROn cloud surfaces, the audit scripts are not reachable. The skill still applies — prose-only:
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Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.
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Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.
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Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.
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Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.
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Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.
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Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.
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