Pillar #4 — Skills Audit Overview Pillar #4 — Skills Audit Overview Date: 2026-05-04 MC: #99131 Phase: DESIGN + PoC (Phase 2) Spec: agentic-os-pillar4-skills-audit-2026-05-04.md Executive Summary This audit covers the ALAI skill system progressive-disclosure refactor: 79 skills inventoried, top-20 refactor priorities identified, L0-L3 rubric established, and PoC analysis completed for task-postflight skill. Key Findings 79 active skill directories on disk; 94 rows in skill-registry.db (32 phantoms, 17 unregistered) Only 15 skills have any log invocations in the 19-day measurement window mehanik (186 hits) and update-config (1 hit) appear in logs but have no disk directory — ghost invocations 9 skills with references/ dir; 70 are monolithic (L0/L1) 12 TOB skills have nested structure — invisible to Claude Code flat-discovery loader Highest-priority refactor target: task-postflight (5,367 tokens × 21 measured invocations = priority_score 82.05) Reality anchor: At current ALAI scale (Claude Max flat-rate subscription), context-bloat incremental cost is approximately $0-2/month. The value of this audit is context window capacity management , not dollar cost reduction. Inventory Summary Metric Value Source Active skill dirs on disk 79 ls ~/.claude/skills/ | grep -v _archived | wc -l Archived skills 32 ls ~/.claude/skills/_archived/ | wc -l skill-registry.db rows 94 sqlite3 skill-registry.db 'SELECT COUNT(*) FROM skills;' DB-only phantoms 32 comm comparison Disk-only unregistered 17 comm comparison Skills with references/ dir 9 find query Skills with invocations in window 15 log grep Measurement window 19 days 2026-04-16 to 2026-05-05 Total invocations in window 267 awk filter Ghost invocations (mehanik) 186 log grep — mehanik not on disk Aggregate Savings Projection Skills loaded per turn Tokens saved vs. baseline % context window recovered (128K window) Only task-postflight (PASS path) 3,500 tokens 2.7% task-postflight + prompt-forge 4,700 tokens 3.7% Top-5 hot-path skills (ranks 1-5) 7,300 tokens 5.7% All top-20 (max benefit, full session) 19,500 tokens 15.2% All 79 skills at L3 (theoretical max) ~35,000 tokens 27.3% Assumes 40-50% body-token reduction per skill post-refactor. These are per-turn estimates derived from body-token reduction; monthly projections without measured session counts would be phantom claims. Related Documentation Skills Inventory: Top 20 Priority table with per-skill triage L0-L3 Design Pattern: Progressive-disclosure rubric and anti-pattern catalog PoC Analysis: task-postflight refactor demonstration (541 → 194 LOC, 64.7% reduction) Source spec: ~/system/specs/agentic-os-pillar4-skills-audit-2026-05-04.md (479 lines) HiveMind record: TBD MC: #99131 (ready_for_review)