hermes-backup/daily/2026-04-28_203212/skills/devops/archive-audit-recursive-improvement/SKILL.md
Distill intelligence from archive directories before deletion — contrast against live state, track gaps in wiki, then prune noise safely.
npx skillsauth add ariffazil/openclaw-workspace archive-audit-recursive-improvementInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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When to use: When pruning old archives and you need to distill intelligence before deletion — ensuring no eureka is lost in the noise.
Trigger: Before deleting any large archive directory.
# Find all .md files in archive
find /path/to/archive -name "*.md" 2>/dev/null | sort
# Categorize by date/type
ls -la /path/to/archive/
Never read everything. Sample strategically:
| File pattern | Read? | Why |
|---|---|---|
| *eureka* or *extraction* | YES | Intentional distillation |
| *audit* or *report* | YES | Engineering findings |
| *path_to* or *blueprint* | YES | Architecture decisions |
| *2026-03-30-*.md | NO | Session metadata spam |
| session* or memory-2026-*.md | NO | Raw logs, no synthesis |
| *.bak or *backup* | NO | Stale copies |
Rule: If a file was produced by an agent reflecting on work (not raw session output), it has intelligence potential.
For each potential insight, check current state:
# Check arifOS MCP version and tool count
curl -s http://localhost:8080/health 2>/dev/null | python3 -c "import sys,json; print(json.load(sys.stdin).get('version'))"
# Check Qdrant container
docker ps | grep qdrant
# Check A2A endpoint
curl -s http://localhost:8080/a2a/wire 2>/dev/null
# Check tool list
curl -s -X POST http://localhost:8080/mcp -H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}' 2>/dev/null
Create wiki/pages/recursive-improvement-log.md with sections:
INDEX.mdLOG.md with audit date + key findingsOnly delete after:
2026-03-30-*.md) — just Telegram headers repeated. No intelligence. Safe to delete without reading.*eureka*, *extraction*) are intentionally produced — always read these first.tools_*.py, schemas, headers)wiki/RECURSIVE_IMPROVEMENT_LOG.mdgit ls-files archive/ to confirm the directory was actually tracked, not just sitting in working tree.git push --set-upstream origin master on first push to avoid silent failure.After deletion:
wiki/pages/recursive-improvement-log.mddevelopment
Governed intelligence skill for AAA as the abstraction, attestation, and abduction control plane across arifOS, APEX, A-FORGE, GEOX, WEALTH, WELL, and the ariffazil profile repository. Use when the user asks to explain or design AAA, route agentic work, reduce chaos/entropy in an arifOS federation task, create AREP/task declarations, classify risk, plan multi-repo changes, review governance boundaries, or translate human intent into evidence-backed, authority-safe, recursively agentic workflows. Provides deterministic F1-F13 floor checking, bounded abduction, and FederationReceipt composition.
development
Check every skill’s “use when” and “do not use when” clauses for collisions, missing negatives, and vague verbs like “help,” “assist,” or “improve.” Load when linting, reviewing, or validating trigger boundaries.
development
Bootstrap, design, and package new skills. Load when capturing user intent for a new skill or drafting its initial instruction framework.
content-media
Diagnose which federation services are up, down, or drifting. Produce a prioritized remediation plan.