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 email-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/email-ops)<a href="https://agentmods.dev/skills/ufy2024/auc/email-ops"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/email-ops.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00863 |
| Opus 5 | $0.00025 | $0.00432 |
| Sonnet 5 | $0.00010 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
email-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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Ops
Use this when the real task is mailbox work: triage, drafting, replying, sending, or proving a message landed in Sent.
This is not a generic writing skill. It is an operator workflow around the actual mail surface.
Skill Stack
Pull these ECC-native skills into the workflow when relevant:
brand-voicebefore drafting anything user-facinginvestor-outreachfor investor, partner, or sponsor-facing mailcustomer-billing-opswhen the thread is a billing/support incident rather than generic correspondenceknowledge-opswhen the message or thread should be captured into durable context afterwardresearch-opswhen a reply depends on fresh external facts
When to Use
- user asks to triage inbox or archive low-signal mail
- user wants a draft, reply, or new outbound email
- user wants to know whether a mail was already sent
- the user wants proof of which account, thread, or Sent entry was used
Guardrails
- draft first unless the user clearly asked for a live send
- never claim a message was sent without a real Sent-folder or client-side confirmation
- do not switch sender accounts casually; choose the account that matches the project and recipient
- do not delete uncertain business mail during cleanup
- if the task is really DM or iMessage work, hand off to
messages-ops
Workflow
1. Resolve the exact surface
Before acting, settle:
- which mailbox account
- which thread or recipient
- whether the task is triage, draft, reply, or send
- whether the user wants draft-only or live send
2. Read the thread before composing
If replying:
- read the existing thread
- identify the last outbound touch
- identify any commitments, deadlines, or unanswered questions
If creating a new outbound:
- identify warmth level
- select the correct channel and sender account
- pull
brand-voicebefore drafting
3. Draft, then verify
For draft-only work:
- produce the final copy
- state sender, recipient, subject, and purpose
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.
- 5d ago First seen · 143 lines · 50 tokens per session scan A 317fccd284bd
email-ops is a skill published in the GitHub repository ufy2024/AuC (1,090 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 863 once invoked, about $0.0003 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 2026-09-03.
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