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 sanjay3290/ai-skills --skill google-docsgit clone --depth 1 https://github.com/sanjay3290/ai-skillsWrote 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/sanjay3290/ai-skills/google-docs)<a href="https://agentmods.dev/skills/sanjay3290/ai-skills/google-docs"><img src="https://agentmods.dev/badge/skills/sanjay3290/ai-skills/google-docs.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 83 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00070 | $0.00686 |
| Opus 5 | $0.00035 | $0.00343 |
| Sonnet 5 | $0.00014 | $0.00137 |
| Haiku 4.5 | $0.00007 | $0.00069 |
Grade A, and why
google-docs 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 8d 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
2 near-identical copies found in the catalogue:
- google-docs — 100% identical, 0 lines differ
- google-docs — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Docs
Lightweight Google Docs integration with standalone OAuth authentication. No MCP server required.
⚠️ Requires Google Workspace account. Personal Gmail accounts are not supported.
First-Time Setup
Authenticate with Google (opens browser):
python scripts/auth.py login
Check authentication status:
python scripts/auth.py status
Logout when needed:
python scripts/auth.py logout
Commands
All operations via scripts/docs.py. Auto-authenticates on first use if not logged in.
# Create a new document
python scripts/docs.py create "Meeting Notes"
# Create a document with initial content
python scripts/docs.py create "Project Plan" --content "# Overview\n\nThis is the project plan."
# Find documents by title
python scripts/docs.py find "meeting" --limit 10
# Get text content of a document
python scripts/docs.py get-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms
# Get text using a full URL
python scripts/docs.py get-text "https://docs.google.com/document/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit"
# Append text to end of document
python scripts/docs.py append-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms "New paragraph at the end."
# Insert text at beginning of document
python scripts/docs.py insert-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms "Text at the beginning.\n\n"
# Replace text in document
python scripts/docs.py replace-text 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms "old text" "new text"
Document ID Format
Google Docs uses document IDs like 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms. You can:
- Use the full URL (the ID will be extracted automatically)
- Use just the document ID
- Get document IDs from the
findcommand results
Token Management
Tokens stored securely using the system keyring:
- macOS: Keychain
- Windows: Windows Credential Locker
- Linux: Secret Service API (GNOME Keyring, KDE Wallet, etc.)
Service name: google-docs-skill-oauth
What ships with it
5 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.
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.
- 8d ago First seen · 84 lines · 70 tokens per session scan A bb8bd2ceb839
google-docs is a skill published in the GitHub repository sanjay3290/ai-skills (418 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 70 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 2026-08-30.
Other skills, from other repositories
report-helper
A Chinese-language research workflow that searches the internet and produces a formatted PDF report about a specified topic.
pdf-analyze
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
extract-transcripts
Extract readable transcripts from Claude Code and Codex CLI session JSONL files.
doc-writer
Create or update numbered task docs using repo context, DOCTEMPLATE.md, and naming conventions.
pdf-processing
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
pdf-extractor
Extract text, tables, and images from PDFs. Use when: extracting data from reports; converting PDF tables to CSV; pulling images from presentations; processing research papers; batch converting PDFs to text.