health
Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.
Profile →npx skills add tw93/Waza --skill health --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Health: Agent-Assisted Engineering Health Prefix your first line with 🥷 inline, not as its own paragraph. Audit the current project's agent setup and AI coding maintainability against this framework: `agent config → instruction surfaces → tools/runtime → verifiers → maintainability` Find violations. Identify the misaligned layer. Calibrate to project complexity only. ## Outcome Contract - Outcome: a budget-aware health report that separates agent configuration risk from AI maintainability risk. - Done when: each finding names the misaligned layer, the concrete evidence, and a copy-pasteable action or diagnostic command. - Evidence: collected health script output, tracked project instructions, runtime config summaries, verifier logs, hooks/MCP surfaces, and read-only live probes when needed. - Output: prioritized findings with status, impact, and next action, or a clear clean bill with residual risk. Two lanes share one report: - **Agent config health**: Codex/Claude/Pi instruction drift, permissions, hooks, MCP, skills, and memory supply chain. - **AI maintainability health**: project context surface, verifier wrapper, generated-artifact checks, hotspot ownership, and stale or m
- Outcome Contract
- Durable Context Preflight
- Hard Rules
- Step 0: Assess project tier
- Step 1: Collect data
- Step 1b: MCP Live Check
- Step 1c: Safety and security checks
- Security Baseline Checks
- Memory and Skill Supply Chain
- Long-Running Agent Stop Conditions
- Step 2: Analyze
- Step 3: Report
- [PASS] Passing checks (table, max 5 rows)
- Finding format
for candidate in \
done
if [ ! -f "${HEALTH_SCRIPT:-}" ]; then
echo "health collect-data.sh not found under the installed skill base; reinstall Waza"
exit 1
fiWhat does the health skill do?
Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.
How do I install it?
Run `npx skills add tw93/Waza --skill health --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From tw93/Waza, a repository with 6,760 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.