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affaan-m/automation-audit-ops

affaan-m

automation-audit-ops

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.

global
origin:ECC
New~1.0k
v1.2Saved Jul 14, 2026

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
Files1
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Overall Score

80/100

Grade

B

Good

Safety

88

Quality

78

Clarity

82

Completeness

72

Summary

An automation inventory and overlap audit skill for engineering cost control (ECC) systems. It guides agents to produce evidence-backed inventories of live, broken, redundant, or missing automations (jobs, hooks, connectors, MCP servers, wrappers) before making changes, using a keep/merge/cut/fix-next classification framework.

Detected Capabilities

read workspace filesread git repository structureread GitHub Actions workflowsread MCP configurationread hook scripts and logslist and inspect integrationsanalyze automation state and healthcross-reference live state against configurationproduce evidence-backed inventory output

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

audit automation inventoryfind broken jobsidentify workflow overlapconsolidate integrationstrace webhook failures

Use Cases

  • {"id": 1, "title": "Audit live automation surface", "description": "User asks 'what automations do I have?' — skill produces a classified inventory of all active, broken, and stale automations across hooks, GitHub Actions, MCP servers, and connectors with proof sources."}; {"id": 2, "title": "Identify overlapping automation", "description": "User suspects multiple pathways perform the same task — skill surfaces redundancies and produces keep/merge/cut recommendations before consolidation."}; {"id": 3, "title": "Trace broken automation to root", "description": "Scheduled job or webhook is failing silently — skill inventories the surface, classifies by live state (auth outage, stale, active breakage), and recommends fix strategy."}; {"id": 4, "title": "Plan automation consolidation", "description": "Workspace has accumulated multiple agents/systems — skill reconciles what was ported, what is still missing, and what should be the canonical ECC lane going forward."}; {"id": 5, "title": "Verify post-fix automation health", "description": "After fixes, skill produces evidence that automations are truly live (authenticated, recently verified) rather than assumed recovered."}

Quality Notes

  • Skill has explicit read-first guardrail ('start read-only unless user explicitly asked for fixes') — good scope boundary.
  • Concrete workflow stages are documented: inventory → classify → trace → recommend. Agent can follow systematically without guessing.
  • Output format is machine-readable (CURRENT SURFACE / FINDINGS / RECOMMENDATION / NEXT ECC MOVE) — agent knows what 'done' looks like.
  • Pitfalls section explicitly names anti-patterns (e.g., 'do not answer from memory', 'do not treat present in config as working') — reduces common failure modes.
  • Guardrails section clearly separates proof categories (configured vs authenticated vs verified vs stale vs missing) — prevents false positives and ambiguity.
  • Skill is scoped to audit-first workflow — deliberately avoids being an execution skill, which keeps blast radius bounded.
  • References to sibling skills (workspace-surface-audit, knowledge-ops, github-ops, etc.) are context-appropriate but assume user/agent knows which to invoke — could benefit from explicit decision tree for when to pull in each skill.
  • No examples of actual audit output shown — useful to include 1–2 concrete before/after examples of CURRENT SURFACE and RECOMMENDATION format.
  • Verification section is minimal — could be more explicit about what 'proof path' looks like in practice (e.g., 'GitHub Actions run URL', 'hook execution log timestamp', 'MCP config section with date verified').
  • Skill does not mention error handling for ambiguous cases — guidance exists ('say so directly') but could expand on how to gracefully escalate when inventory is incomplete.
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

v1.2

Content updated

2026-07-14

Latest
v1.1

Content updated

2026-04-20

v1.0

No changelog

2026-04-12

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