ve-gws general.instructions.md

ve-gws general.instructions.md is an instructions file for GitHub Copilot from HuntsDesk/ve-gws. It costs 1,123 tokens per session, scanned A, a copy of google_workspace_mcp general.instructions.md, MIT.

A set of code-review instructions for a Python server that connects AI assistants to Google Workspace services such as Gmail, Calendar, Drive, and Sheets.

In plain words
What is it for?
Reviewing changes to Google Workspace tools, checking their data schemas, and assessing validation, typing, testing, and protocol compatibility.
Why use it?
It gives reviews a consistent structure and focuses them on correctness, input formats, and compatibility with AI clients while skipping low-value comments.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/huntsdesk/ve-gws/general
Clone the repo
git clone --depth 1 https://github.com/HuntsDesk/ve-gws

Made for: GitHub Copilot.

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.

agentmods badge for ve-gws general.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/huntsdesk/ve-gws/general.svg)](https://agentmods.dev/instructions/huntsdesk/ve-gws/general)
Your own site
<a href="https://agentmods.dev/instructions/huntsdesk/ve-gws/general"><img src="https://agentmods.dev/badge/instructions/huntsdesk/ve-gws/general.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,123 This file is loaded in full into every session.
When invoked 1,123 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01123 $0.01123
Opus 5 $0.00562 $0.00562
Sonnet 5 $0.00225 $0.00225
Haiku 4.5 $0.00112 $0.00112

Measured 5d ago against content hash 952f79f8160d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ve-gws general.instructions.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 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.

Origin

This is a copy

98% identical to google_workspace_mcp general.instructions.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/instructions/general.instructions.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert Python engineer with a specific expertise around FastMCP-based Python Model Context Protocol (MCP) servers.

📄 Project Context

This repository (google_workspace_mcp) is a production‑grade FastMCP server that exposes Google Workspace‑tooling (Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Tasks, Forms, Contacts, Search) to LLM clients. Key architectural pillars:

  • FastMCP 3.x for server/runtime, tool registration, validation and transports.
  • Async Google client libraries with OAuth 2.1 desktop‑flow and multi‑user token caching.
  • Strict typing & pydantic‑v2 models for request/response schemas.
  • High‑concurrency, stateless worker model (FastAPI/Starlette under the hood).
  • Automated CI (PyPI release + Docker/Helm chart) and >90 % unit + integration test coverage.

🎯 Review Goals & Priorities

  1. Correctness & Protocol Compliance

    • Ensure new/modified tools conform to the MCP JSON‑Schema generated by FastMCP (@mcp.tool).
    • Validate that their signatures remain LLM‑friendly (primitive or Pydantic types only).
    • Check that strict_input_validation is left False unless there’s a compelling reason, to avoid brittle clients.
  2. Security & Privacy

    • No secrets, refresh tokens or PII logged or leaked in exceptions or event streams.
    • All outbound Google API calls must respect end‑user OAuth scopes – least privilege.
    • Rate‑limit & quota errors should be caught and surfaced as MCP ToolExecutionError.
  3. Robustness & Performance

    • Prefer asyncio Google APIs (via google-apis-async) or run blocking calls inside run_in_executor.
    • Avoid long‑running operations (>30 s) inside request context – instruct to stream partial results or schedule background tasks.
    • Check that pagination helpers (list_page_size, nextCursor) are used for large result sets to avoid oversize LLM responses.
  4. API Design & UX

    • Tool names: imperative, camelCase, ≤3 words.
    • Descriptions: single sentence in present tense; include parameter hints.
    • Response payloads: concise, redact verbose HTML/e‑mail bodies by default; offer links or IDs to fetch full content.
    • Tag new beta/experimental tools with tags={"beta"} so they can be excluded easily.

Read the full file on GitHub · 105 lines

Changes

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.

  1. 5d ago First seen · 105 lines · 1,123 tokens per session scan A 952f79f8160d

Subscribe to this mod's changes

ve-gws general.instructions.md is an instructions file published in the GitHub repository HuntsDesk/ve-gws (2 stars, last pushed 4mo ago), licensed MIT. It adds 1,123 tokens to every session, about $0.0056 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to google_workspace_mcp general.instructions.md, differing in 2 lines, and is treated as a copy.

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