Agent Skill to Automation Audit Ops
Agent Skill to Automation Audit Ops is a verified SKILL blueprint on Promptally in Security & Compliance optimized for leading AI models. 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. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | SKILL (Security & Compliance) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 1,042 |
| Source file | SKILL.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
--- 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 ```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 live proof path - each surfaced automation is labeled with a clear live-state category - the final recommendation distinguishes keep / merge / cut / fix-next
How to use this skill
- Review the pre-filled example and source files above.
- Copy the template or download
SKILL.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Agent Skill to Automation Audit Ops?
Open the skill on Promptally, review the pre-filled example, then copy the template or download SKILL.md and paste it into your model, IDE or workflow tool. Agent Skill to Automation Audit Ops is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Agent Skill to Automation Audit Ops free?
Yes. Agent Skill to Automation Audit Ops is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Agent Skill to Automation Audit Ops need?
Agent Skill to Automation Audit Ops is a static blueprint with no dynamic variables. Copy it and use it as-is.