AuC is a Python framework for running a single AI agent with an asynchronous, pluggable reasoning loop, language-model adapters, permission levels, and observable events. It is used to build coding and conversational agents with tools, security checks, web interfaces, background jobs, evaluations, and isolated execution. The catalogue entries are skills for extending its agent workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ufy2024/AuC --skill automation-audit-opsgit clone --depth 1 https://github.com/ufy2024/AuCWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ufy2024/auc/automation-audit-ops)<a href="https://agentmods.dev/skills/ufy2024/auc/automation-audit-ops"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/automation-audit-ops/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ufy2024/auc/automation-audit-ops"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/automation-audit-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 21 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.01013 |
| Opus 5 | $0.00024 | $0.00507 |
| Sonnet 5 | $0.00010 | $0.00203 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
automation-audit-ops scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
6 near-identical copies found in the catalogue:
- automation-audit-ops — 88% identical, 27 lines differ
- automation-audit-ops — 88% identical, 27 lines differ
- automation-audit-ops — 88% identical, 27 lines differ
- automation-audit-ops — 86% identical, 28 lines differ
- automation-audit-ops — 86% identical, 28 lines differ
- automation-audit-ops — 86% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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-auditfor connector, MCP, hook, and app inventoryknowledge-opswhen the audit needs to reconcile live repo truth with durable contextgithub-opswhen the answer depends on CI, scheduled workflows, issues, or PR automationecc-tools-cost-auditwhen the real problem is webhook fanout, queued jobs, or billing burn in the sibling app reporesearch-opswhen local inventory must be compared against current platform support or public docsverification-loopfor 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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 164 lines · 49 tokens per session scan A 5754af2febc0
automation-audit-ops is a skill published in the GitHub repository ufy2024/AuC (1,090 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 1,013 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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