PluginBench
Skill
Pass
Audit score 90

automation-audit-ops

affaan-m/everything-claude-code

Evidence-first inventory and overlap audit for ECC automations, jobs, and connectors.

What is automation-audit-ops?

Audit skill for mapping live, broken, redundant, or missing automations across ECC—jobs, hooks, GitHub Actions, MCP servers, connectors, and wrappers. Use when you need a read-only inventory and keep/merge/cut/fix recommendations before making changes.

  • Surface all active automations: repo hooks, GitHub Actions, MCP configs, connectors, and wrapper scripts
  • Classify each automation by live state: configured, authenticated, verified, stale, or broken
  • Trace proof paths for every claim: file paths, workflow runs, logs, config entries, and failure signatures
  • Identify overlap, redundancy, auth outages, and missing capabilities across automation surfaces
  • Produce keep/merge/cut/fix-next recommendations to consolidate into one canonical ECC lane

How to install automation-audit-ops

npx skills add https://github.com/affaan-m/everything-claude-code --skill automation-audit-ops
Claude Code
Cursor
Windsurf
Cline

How to use automation-audit-ops

  1. 1.Run the skill when asked about live automations, broken jobs, or overlapping workflows
  2. 2.Let it surface the real current state: hooks, Actions, MCP configs, connectors, wrappers
  3. 3.Review the classified live-state table and proof paths for each automation
  4. 4.Check the findings for active breakage, overlap, stale status, or missing capabilities
  5. 5.Use the keep/merge/cut/fix-next recommendations to decide next steps before making changes

Use cases

Good for
  • Audit which jobs and workflows are actually running vs. stale or misconfigured
  • Find overlapping automations doing the same work across different systems
  • Diagnose why a connector or MCP server stopped working by tracing live state
  • Inventory what was ported from another agent system and what still needs rebuilding in ECC
  • Prioritize which broken automation to fix first based on evidence, not assumption
Who it's for
  • DevOps and automation engineers managing multiple ECC automation surfaces
  • Teams consolidating legacy agent automations into ECC
  • Anyone needing a read-only audit before refactoring automation infrastructure

automation-audit-ops FAQ

Should I use this to fix automations right away?

No. Start read-only unless the user explicitly asked for fixes. The skill produces an inventory and recommendations first; fixes come after the evidence table exists.

How do I know if a tool is actually live?

The skill requires proof: file paths, recent workflow runs, hook logs, config entries, or command output. It will not claim something is live just because a config references it.

What if the current state is unclear?

The skill says so directly instead of guessing. Ambiguous state is noted in the findings so you can investigate further or use verification-loop to confirm post-fix.

Which ECC skills does this pull in?

It may use workspace-surface-audit, knowledge-ops, github-ops, ecc-tools-cost-audit, research-ops, or verification-loop depending on what the audit needs to answer.

What surfaces does it cover?

Repo hooks, GitHub Actions, scheduled workflows, MCP servers, connectors, wrappers, app integrations, cron jobs, and local automation entrypoints.

Full instructions (SKILL.md)

Source of truth, from affaan-m/everything-claude-code.


name: automation-audit-ops description: Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything. metadata: origin: ECC

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

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 live proof path
  • each surfaced automation is labeled with a clear live-state category
  • the final recommendation distinguishes keep / merge / cut / fix-next