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 Stillfrozen/gdrive-mcp --skill gdrivegit clone --depth 1 https://github.com/Stillfrozen/gdrive-mcpWrote 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/stillfrozen/gdrive-mcp/gdrive)<a href="https://agentmods.dev/skills/stillfrozen/gdrive-mcp/gdrive"><img src="https://agentmods.dev/badge/skills/stillfrozen/gdrive-mcp/gdrive/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/stillfrozen/gdrive-mcp/gdrive"><img src="https://agentmods.dev/badge/skills/stillfrozen/gdrive-mcp/gdrive.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 | $0.00062 | $0.00812 |
| Opus 5 | $0.00031 | $0.00406 |
| Sonnet 5 | $0.00012 | $0.00162 |
| Haiku 4.5 | $0.00006 | $0.00081 |
Grade A, and why
gdrive 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 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.
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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Drive / Docs / Sheets (Cursor MCP)
When to use
- User asks to find, read, or edit a Google Doc, Sheet, or Drive file.
- User pastes
docs.google.com,sheets.google.com, ordrive.google.comURL.
Prefer MCP tools when the gdrive server is connected.
This skill is generic. Do not hardcode a team's file ids here.
Auth
OAuth JSON and the refresh token live on disk, never in git.
Default layout after ./scripts/install.sh:
gdrive-mcp/credentials/gcp-oauth.keys.json
gdrive-mcp/credentials/.gdrive-server-credentials.json
~/.cursor/mcp.json:
{
"mcpServers": {
"gdrive": {
"command": "node",
"args": ["/absolute/path/to/gdrive-mcp/dist/index.js"],
"env": {
"GDRIVE_OAUTH_PATH": "/absolute/path/to/gdrive-mcp/credentials/gcp-oauth.keys.json",
"GDRIVE_CREDENTIALS_PATH": "/absolute/path/to/gdrive-mcp/credentials/.gdrive-server-credentials.json"
}
}
}
}
Setup: docs/INSTALL.ru.md. After git pull: ./scripts/upgrade.sh, then Reload MCP.
External OAuth client in Testing: refresh token dies after 7 days → invalid_grant → npm run auth.
Tools (short)
Read: gdrive_search, gdrive_get_file, gdrive_read_file (Docs → Markdown, Sheets → CSV of first tab, Slides → text), gdrive_list_files, gdrive_get_spreadsheet_info, gdrive_get_document_info.
Sheets write: create / update / append / clear / format / tabs / insert or delete rows and columns.
Docs write: create / insert / replace / delete text / styles / headings / lists / rename / duplicate.
Full table: repo README.md.
Agent workflow
- Extract file id from the URL (
/d/FILE_ID/or/spreadsheets/d/FILE_ID/). - Read before write. The server rejects writes if this session has not opened the file. Use
gdrive_read_fileorgdrive_get_document_info/gdrive_get_spreadsheet_info. - Sheets: first tab only via
gdrive_read_file. Other tabs →gdrive_get_spreadsheet_infothen a range tool. - Docs: Markdown from
gdrive_read_fileis enough to summarize. For anchors, headings, lists →gdrive_get_document_infowithinclude_content=true. - Destructive tools (replace, delete tab, delete rows): state file id and the diff in one line, then call.
- Never delete a Drive file through MCP — the server cannot. Ask the user to use the Drive UI.
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 · 93 lines · 62 tokens per session scan A 6bb832bb3e25
gdrive is a skill published in the GitHub repository Stillfrozen/gdrive-mcp (0 stars, last pushed 19d ago), licensed MIT. It adds 62 tokens to every session and 812 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 2026-08-31.
Other skills, from other repositories
dcf-model
Build discounted cash flow valuation workbooks in Excel.
audit-xls
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this…
google-drive-sheets
Find, read, export, edit, and manage the user's Google Drive, Docs, Sheets, and Slides through per-user OAuth.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
excel-basic-statistics-and-routing
An Excel workflow for filtering grouped data, calculating averages, extracting row ranges, removing duplicates, and adding totals.
dynamic-percentage-and-large-file-analysis
An Excel analysis workflow that changes its file-processing approach based on file size and calculates selected values and percentages.