Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/brucemcpherson/gas-fakes/gf_agent)<a href="https://agentmods.dev/skills/brucemcpherson/gas-fakes/gf_agent"><img src="https://agentmods.dev/badge/skills/brucemcpherson/gas-fakes/gf_agent/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/brucemcpherson/gas-fakes/gf_agent"><img src="https://agentmods.dev/badge/skills/brucemcpherson/gas-fakes/gf_agent.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 | $0.00029 | $0.10372 |
| Opus 5 | $0.00015 | $0.05186 |
| Sonnet 5 | $0.00006 | $0.02074 |
| Haiku 4.5 | $0.00003 | $0.01037 |
Grade A, and why
gf_agent scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. Sub-Agent uses `curl` + `awk` (or `web_fetch`) to find the information. How it starts
The opening of the file, as written. The whole thing — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: gf_agent
Overview
gf_agent is a specialized agent for automating Google Workspace tasks using the gas-fakes local emulation environment. It can generate and execute Google Apps Script (GAS) code locally on Node.js.
Capabilities
- Automate Workspace: Create, read, and modify Google Docs, Sheets, Slides, Forms, Drive files, and Calendars.
- Local Execution: Run scripts using
@mcpher/gas-fakesto avoid needing a live Apps Script environment for every task. - Service Integration: Seamlessly combine multiple Google services (e.g., fetch data from a Sheet and create a Doc).
- Mock/Real Parity: Write code that works both locally (using fakes) and on the real Google Apps Script platform.
Instructions
- Understand and Orchestrate:
- Identify required Google Apps Script services (e.g., SpreadsheetApp, DriveApp).
- For multi-service or complex tasks, adopt the Orchestrator Pattern: Plan the task as a sequence of service-specific sub-tasks.
- Research and Verify (Service Agent Phase):
- For each service, first verify method existence by reading the local
skills/{service}.mdfiles in the skill directory. - If detailed method signatures or descriptions are needed, fetch the latest implementation details from the remote
gas-fakesrepository. - Remote URL:
https://raw.githubusercontent.com/brucemcpherson/gas-fakes/main/progress/{service}.md(Note:{service}is lowercase, e.g.,spreadsheet.md). - Use these details to construct precise, parity-compliant code without relying on external search engines unless documentation is missing.
- For each service, first verify method existence by reading the local
- Generate Script: Create a Node.js script that:
- Uses standard GAS syntax.
- (Optional) Uses
ScriptApp.isFakefor local-only logic like logging or cleanup.
- Execute & Verify: Use the
mcp_gas-fakes-mcp_workspace_agenttool to execute the code and report the results to the user.
Example Workflow
User: "Summarize the last 5 unread emails and save the summary to a new Google Doc." Agent:
- Identify Services:
GmailApp,DocumentApp. - Verify Methods:
- Check
skills/gmail.mdandskills/document.md. - (Optional) Fetch
progress/gmail.mdandprogress/document.mdfrom GitHub for detailed signatures.
- Check
- Generate Script:
const threads = GmailApp.getInboxThreads(0, 5); let summary = 'Email Summary:\n\n'; threads.forEach(t => { const msg = t.getMessages()[0]; summary += `From: ${msg.getFrom()}\nSubject: ${msg.getSubject()}\n---\n`; }); const doc = DocumentApp.create('Email Summaries'); doc.getBody().appendParagraph(summary); console.log('Summary saved to Doc ID:', doc.getId()); - Execute: Call
mcp_gas-fakes-mcp_workspace_agent({ script: '...' }). - Report: Confirm completion and provide the Doc ID.
What ships with it
44 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- documentation.md 3.2 KB
- gf-agent-contributor/SKILL.md 3.7 KB
- index.md 687 B
- knowledge/00-execution-context.md 1.1 KB
- knowledge/01-drive.md 1.2 KB
- knowledge/02-syntax.md 2.8 KB
- knowledge/03-auth.md 2.2 KB
- knowledge/04-advanced.md 3.8 KB
- knowledge/05-sheets-forms.md 3.5 KB
- knowledge/06-jdbc-cloudsql.md 1.5 KB
- knowledge/07-jdbc-auth-details.md 2.4 KB
- knowledge/08-docs-limitations.md 612 B
- knowledge/09-orchestrator-pattern.md 5.4 KB
- knowledge/10-sandbox-security.md 3.1 KB
- knowledge/11-chart-builder-limitations.md 1.6 KB
- knowledge/12-gmail-eventual-consistency.md 1.3 KB
- knowledge/13-advanced-services-discovery.md 2.2 KB
- knowledge/14-utilities-parity.md 1.1 KB
- knowledge/15-logging-efficiency.md 1.5 KB
- knowledge/16-local-exports-parity.md 1.8 KB
- knowledge/17-local-documentation-discovery.md 2.3 KB
- knowledge/README.md 986 B
- README.md 4.9 KB
- scripts/builder.js 4.5 KB runs code
- scripts/SKILL.template.md 3.9 KB
- skills/base.md 886 B
- skills/cache.md 251 B
- skills/calendar.md 6.1 KB
- skills/charts.md 162 B
- skills/content.md 320 B
- skills/document.md 18 KB
- skills/drive.md 2.7 KB
- skills/forms.md 5.5 KB
- skills/gmail.md 4.4 KB
- skills/html.md 965 B
- skills/jdbc.md 8.4 KB
- skills/lock.md 231 B
- skills/properties.md 274 B
- skills/script.md 123 B
- skills/slides.md 18 KB
- skills/spreadsheet.md 31 KB
- skills/urlfetch.md 363 B
- skills/utilities.md 1.6 KB
- skills/xml.md 3.3 KB
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.
- 9d ago First seen · 557 lines · 29 tokens per session scan A c19eff30106a
gf_agent is a skill published in the GitHub repository brucemcpherson/gas-fakes (79 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 10,372 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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