
Automation Audit Ops
Produce an evidence-backed inventory of live automations (cron, Actions, hooks, MCP, connectors) with keep/merge/cut/fix-next before you rewrite anything.
Overview
automation-audit-ops is an agent skill most often used in Operate (also Build integrations, Ship launch) that runs an evidence-first inventory of automations and overlap before any fixes.
Install
npx skills add https://github.com/affaan-m/everything-claude-code --skill automation-audit-opsWhat is this skill?
- Audit-first ECC operator skill: inventory before rewrite
- Answers what is live, broken, redundant, or missing across jobs and connectors
- Explicit skill stack: workspace-surface-audit, knowledge-ops, github-ops, ecc-tools-cost-audit, research-ops, verificati
- Keep / merge / cut / fix-next recommendation set as deliverable framing
- Spans cron, GitHub Actions, local hooks, MCP servers, and wrappers
- 6 named ECC companion skills in the documented skill stack
- 4 decision labels: keep, merge, cut, fix-next
Adoption & trust: 3k installs on skills.sh; 210k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You cannot say which jobs, hooks, MCP servers, or connectors are live, broken, or duplicated—and fixing blindly wastes nights.
Who is it for?
ECC users with multiple repos, Actions, hooks, and MCP layers who need a single audited picture before cleanup or cost cuts.
Skip if: Greenfield projects with no automations yet, or one-line script fixes where a full inventory would be overhead.
When should I use this skill?
User asks what automations are live, which jobs are broken, where overlap exists, or what connectors are doing useful work—before fixing or rewriting.
What do I get? / Deliverables
You get an evidence-backed automation map plus keep/merge/cut/fix-next priorities, then can invoke verification-loop after changes.
- Evidence-backed automation inventory
- Keep / merge / cut / fix-next recommendation set
- Pointers to follow-on ECC skills (e.g. github-ops, verification-loop)
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Canonical shelf is Operate iterate: you are stabilizing what is actually running in production and dev loops, not greenfield feature work. Overlap and broken-job audits are iteration hygiene—decide what to fix next without assuming recovery happened.
Where it fits
Monthly pass to list broken scheduled jobs and redundant MCP wrappers before changing anything.
Before adding a new connector, audit existing hooks and servers to avoid duplicate fanout.
Pre-launch checklist that CI, webhooks, and local automation actually match what you think ships artifacts.
How it compares
Operator audit playbook across the ECC skill stack—not a single-purpose GitHub Action generator or generic cron tutorial.
Common Questions / FAQ
Who is automation-audit-ops for?
Solo and indie builders on Everything Claude Code who manage real automation sprawl across local hooks, CI, MCP, and connectors.
When should I use automation-audit-ops?
In Operate when asking what is live or broken; in Build when integrating new MCP/hooks without duplicating jobs; in Ship when launch prep depends on CI and scheduled workflows you have not verified recently.
Is automation-audit-ops safe to install?
Review the Security Audits panel on this page; the skill reads workspace and repo evidence—scope agent permissions to only the repos and secrets you intend to inventory.
Workflow Chain
Requires first: workspace surface audit
Then invoke: verification loop
SKILL.md
READMESKILL.md - Automation Audit Ops
# Automation Audit Ops Use this when the user asks what automations are live, which jobs are broken, where overlap exists, or what tooling and connectors are actually doing useful work right now. This is an audit-first operator skill. The job is to produce an evidence-backed inventory and a keep / merge / cut / fix-next recommendation set before rewriting anything. ## Skill Stack Pull these ECC-native skills into the workflow when relevant: - `workspace-surface-audit` for connector, MCP, hook, and app inventory - `knowledge-ops` when the audit needs to reconcile live repo truth with durable context - `github-ops` when the answer depends on CI, scheduled workflows, issues, or PR automation - `ecc-tools-cost-audit` when the real problem is webhook fanout, queued jobs, or billing burn in the sibling app repo - `research-ops` when local inventory must be compared against current platform support or public docs - `verification-loop` for proving post-fix state instead of relying on assumed recovery ## When to Use - user asks "what automations do I have", "what is live", "what is broken", or "what overlaps" - the task spans cron jobs, GitHub Actions, local hooks, MCP servers, connectors, wrappers, or app integrations - the user wants to know what was ported from another agent system and what still needs to be rebuilt inside ECC - the workspace has accumulated multiple ways to do the same thing and the user wants one canonical lane ## Guardrails - start read-only unless the user explicitly asked for fixes - separate: - configured - authenticated - recently verified - stale or broken - missing entirely - do not claim a tool is live just because a skill or config references it - do not merge or delete overlapping surfaces until the evidence table exists ## Workflow ### 1. Inventory the real surface Read the current live surface before theorizing: - repo hooks and local hook scripts - GitHub Actions and scheduled workflows - MCP configs and enabled servers - connector- or app-backed integrations - wrapper scripts and repo-specific automation entrypoints Group them by surface: - local runtime - repo CI / automation - connected external systems - messaging / notifications - billing / customer operations - research / monitoring ### 2. Classify each item by live state For every surfaced automation, mark: - configured - authenticated - recently verified - stale or broken - missing Then classify the problem type: - active breakage - auth outage - stale status - overlap or redundancy - missing capability ### 3. Trace the proof path Back every important claim with a concrete source: - file path - workflow run - hook log - config entry - recent command output - exact failure signature If the current state is ambiguous, say so directly instead of pretending the audit is complete. ### 4. End with keep / merge / cut / fix-next For each overlapping or suspect surface, return one call: - keep - merge - cut - fix next The value is in collapsing noisy automation into one canonical ECC lane, not in preserving every historical path. ## Output Format ```text CURRENT SURFACE - automation - source - live state - proof FINDINGS - active breakage - overlap - stale status - missing capability RECOMMENDATION - keep - merge - cut - fix next NEXT ECC MOVE - exact skill / hook / workflow / app lane to strengthen ``` ## Pitfalls - do not answer from memory when the live inventory can be read - do not treat "present in config" as "working" - do not fix lower-value redundancy before naming the broken high-signal path - do not widen the task into a repo rewrite if the user asked for inventory first ## Verification - important claims cite a liv