Borrowing it
Nothing to install: this file belongs to Elnora-AI/elnora-google-workspace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Elnora-AI/elnora-google-workspace/main/AGENTS.mdgit clone --depth 1 https://github.com/Elnora-AI/elnora-google-workspaceWrote 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/instructions/elnora-ai/elnora-google-workspace/agents-md)<a href="https://agentmods.dev/instructions/elnora-ai/elnora-google-workspace/agents-md"><img src="https://agentmods.dev/badge/instructions/elnora-ai/elnora-google-workspace/agents-md/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/instructions/elnora-ai/elnora-google-workspace/agents-md"><img src="https://agentmods.dev/badge/instructions/elnora-ai/elnora-google-workspace/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00913 | $0.00913 |
| Opus 5.5 | $0.00365 | $0.00365 |
| Sonnet 5.5 | $0.00183 | $0.00183 |
| Haiku 4.5 | $0.00091 | $0.00091 |
Grade A, and why
elnora-google-workspace AGENTS.md 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 29d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — using the gw Google Workspace CLI
Portable rules for any coding agent (Codex, Cursor, Claude Code, …) driving this plugin. The slash commands and skills are Claude-Code-shaped, but the CLI underneath is a plain Python program you can call directly.
First run (setup)
If the CLI isn't set up yet — no .venv, no OAuth client, or gw auth status
reports token_present: false — do setup before anything else. Follow the gated
runbook in INSTALL_FOR_AGENTS.md: it builds the plugin
venv from requirements.txt, walks the user through a Google Cloud project +
Desktop OAuth client (offering to drive the browser via a Chrome DevTools MCP where
one is available), authenticates with gw auth login, and verifies a real read.
Under Claude Code the same flow is the /gw-setup command; the underlying skill is
skills/gw-setup/SKILL.md. Don't hand-roll venv or auth
steps — use those.
Invoking the CLI
- Preferred: the launcher
bin/gw(POSIX) orbin/gw.cmd/bin/gw.ps1(Windows). It finds the plugin's.venv, elsepython3/pythonon PATH. - Direct:
python3 cli/gw.py …(fall back topython cli/gw.py …). - Output is JSON on stdout, exit code
0on success. Errors are JSON on stderr with a non-zero exit. Add--compactfor minified JSON to save tokens. - Discover everything:
gw --help,gw <group> --help, andgw schema <command>for parameters, scopes, and request/response shape.gw api listshows the generic any-Google-API escape hatch.
Auth (do not reinvent)
- Setup and login are handled by
gw auth setup(machine-readable Google Cloud checklist as JSON) andgw auth login. Never hardcode or embed an OAuth client; the user supplies their own via~/.config/gw/client_secret.json,GW_CLIENT_ID/GW_CLIENT_SECRET, or--client-secret-file. - Check state with
gw auth status; list accounts withgw auth list. - Select an account per command with
--account <name>. - Opt-in scopes.
analytics,searchconsoleandpostmasterare not in a default login. Add one withgw auth login --add-scopes analytics,searchconsole,postmaster— never--scopes, which replaces the token and drops everything it does not name.gw auth statuslists what the account currently holds.
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.
- 29d ago Changed · +6 tokens per session f034faaaecaa
- 1mo ago Changed · +1 lines · +40 tokens per session 8deb00544b93
- 1mo ago Changed · +4 lines · +77 tokens per session 4da6a74b330d
- 1mo ago First seen · 60 lines · 790 tokens per session scan A 8c0a628b91ca
elnora-google-workspace AGENTS.md is an instructions file published in the GitHub repository Elnora-AI/elnora-google-workspace (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 913 tokens to every session, about $0.0037 per session on Opus 5.5. 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).