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 hermes-importsgit 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/hermes-imports)<a href="https://agentmods.dev/skills/ufy2024/auc/hermes-imports"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/hermes-imports/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/hermes-imports"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/hermes-imports.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 | $0.00042 | $0.00702 |
| Opus 5 | $0.00021 | $0.00351 |
| Sonnet 5 | $0.00008 | $0.00140 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
hermes-imports 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 6d 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
4 near-identical copies found in the catalogue:
- hermes-imports — 95% identical, 25 lines differ
- hermes-imports — 92% identical, 26 lines differ
- hermes-imports — 92% identical, 26 lines differ
- hermes-imports — 92% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Imports
Use this skill when turning a repeated Hermes workflow into something safe to ship in ECC.
Hermes is the operator shell. ECC is the reusable workflow layer. Imports should move stable patterns from Hermes into ECC without moving private state.
When To Use
- A Hermes workflow has repeated enough times to become reusable.
- A local operator prompt should become a public ECC skill.
- A launch, content, research, or engineering workflow needs sanitized handoff docs.
- A workflow mentions local paths, credentials, personal datasets, or private account names that must be removed before publication.
Import Rules
- Convert local paths to repo-relative paths or placeholders.
- Replace live account names with role labels such as
operator,default profile, orworkspace owner. - Describe credential requirements by provider name only.
- Keep examples narrow and operational.
- Do not ship raw workspace exports, tokens, OAuth files, health data, CRM data, or finance data.
- If the workflow requires private state to make sense, keep it local.
Sanitization Checklist
Before committing an imported workflow, scan for:
- absolute paths such as
/Users/... ~/.hermespaths unless the doc is explicitly explaining local setup- API keys, tokens, cookies, OAuth files, or bearer strings
- phone numbers, private email addresses, and personal contact graphs
- client names, family names, or account names that are not already public
- revenue, health, or CRM details
- raw logs that include tool output from private systems
Conversion Pattern
- Identify the repeatable operator loop.
- Strip private inputs and outputs.
- Rewrite local paths as repo-relative examples.
- Turn one-off instructions into a
When To Usesection and a short process. - Add concrete output requirements.
- Run a secret and local-path scan before opening a PR.
Example: Launch Handoff
Local Hermes prompt:
Read my local workspace files and finalize launch copy.
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.
- 6d ago First seen · 108 lines · 42 tokens per session scan A cfc739330f86
hermes-imports is a skill published in the GitHub repository ufy2024/AuC (1,090 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 702 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 2026-09-03.
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