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 agentmods add skills/ufy2024/auc/google-workspace-opsnpx skills add ufy2024/AuC --skill google-workspace-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/google-workspace-ops)<a href="https://agentmods.dev/skills/ufy2024/auc/google-workspace-ops"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/google-workspace-ops.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00059 | $0.00686 |
| Opus 5 | $0.00030 | $0.00343 |
| Sonnet 5 | $0.00012 | $0.00137 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
google-workspace-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 2d 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
5 near-identical copies found in the catalogue:
- google-workspace-ops — 92% identical, 26 lines differ
- google-workspace-ops — 92% identical, 26 lines differ
- google-workspace-ops — 92% identical, 26 lines differ
- google-workspace-ops — 89% identical, 27 lines differ
- google-workspace-ops — 89% identical, 27 lines differ
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Workspace Ops
This skill is for operating shared docs, spreadsheets, and decks as working systems, not just editing one file in isolation.
When to Use
- User needs to find a doc, sheet, or deck and update it in place
- Consolidating plans, trackers, notes, or customer lists stored in Google Drive
- Cleaning or restructuring a shared spreadsheet
- Importing, repairing, or reformatting a Google Slides deck
- Producing summaries from Docs, Sheets, or Slides for decision-making
Preferred Tool Surface
Use Google Drive as the entry point, then switch to the right specialist:
- Google Docs for text-heavy docs
- Google Sheets for tabular work, formulas, and charts
- Google Slides for decks, imports, template migration, and cleanup
Do not guess structure from filenames alone. Inspect first.
Workflow
1. Find the asset
Start with the Drive search surface to locate:
- the exact file
- sibling assets
- likely duplicates
- recently modified versions
If several documents look similar, confirm by title, owner, modified time, or folder.
2. Inspect before editing
Before making changes:
- summarize current structure
- identify tabs, headings, or slide count
- detect whether the task is local cleanup or structural surgery
Pick the smallest tool that can safely perform the work.
3. Edit with precision
- For Docs: use index-aware edits, not vague rewrites
- For Sheets: operate on explicit tabs and ranges
- For Slides: distinguish content edits from visual cleanup or template migration
If the requested work is visual or layout-sensitive, iterate with inspection and verification instead of one giant blind update.
4. Keep the working system clean
When the file is part of a larger workflow, also surface:
- duplicate trackers
- outdated decks
- stale docs vs canonical docs
- whether the asset should be archived, merged, or renamed
Output Format
Use:
ASSET
- file name
- type
- why this is the right file
CURRENT STATE
- structure summary
- key problems or blockers
ACTION
- edits made or recommended
FOLLOW-UPS
- archive / merge / duplicate cleanup / next file to update
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.
- 2d ago First seen · 116 lines · 59 tokens per session scan A 2e522b6e5552
google-workspace-ops is a skill published in the GitHub repository ufy2024/AuC (1,091 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 686 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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