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 team-attention/plugins-for-claude-natives --skill gmailgit clone --depth 1 https://github.com/team-attention/plugins-for-claude-nativesWrote 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/team-attention/plugins-for-claude-natives/gmail)<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/gmail"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/gmail.svg" alt="Measured on agentmods" height="20"></a>- 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 96 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 | $0.00053 | $0.00960 |
| Opus 5 | $0.00026 | $0.00480 |
| Sonnet 5 | $0.00011 | $0.00192 |
| Haiku 4.5 | $0.00005 | $0.00096 |
Grade A, and why
gmail 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gmail Skill
Manage emails through Gmail API - read, search, send, and organize across multiple Google accounts.
Account Setup
Before running any command, read accounts.yaml to check registered accounts.
If
accounts.yamlis missing or empty → Readreferences/setup-guide.mdfor initial setup
# accounts.yaml example
accounts:
personal:
email: [email protected]
description: Personal Gmail
work:
email: [email protected]
description: Work account
Email Sending Workflow (5 Steps)
When sending emails, create 5 Tasks with TaskCreate and execute sequentially:
| Step | Task | Key Action |
|---|---|---|
| 1 | Gather context | Run Explore SubAgents in parallel: recipient info, related projects, background context |
| 2 | Check previous conversations | Search --query "to:recipient OR from:recipient newer_than:90d" → AskUserQuestion for thread selection |
| 3 | Draft email | Compose draft → AskUserQuestion for feedback |
| 4 | Test send | Send [TEST] email to user's own address → Open in Gmail web → Request confirmation |
| 5 | Actual send | Send to recipient → Report completion |
Signature: Append ---\nSent with Claude Code to all outgoing emails
Workflow Example: "Send a meeting email to John"
1. Create 5 Tasks
2. Step 1: Run parallel Explore SubAgents
- Search recipient (John) info (partners/, projects/, context.md, etc.)
- Search meeting context (calendar, recent meeting notes, etc.)
3. Step 2: Search "to:[email protected] OR from:[email protected]"
→ If previous conversation exists, AskUserQuestion (reply/new email)
4. Step 3: Draft email → AskUserQuestion (proceed/revise)
5. Step 4: Test send to my email → Open in Gmail web (`open "https://mail.google.com/mail/u/0/#inbox/{message_id}"`) → Request confirmation
6. Step 5: Actual send → Done
CLI Quick Reference
# List messages
uv run python scripts/list_messages.py --account work --query "is:unread" --max 10
# Send email
uv run python scripts/send_message.py --account work --to "[email protected]" --subject "Subject" --body "Content"
# Check profile
uv run python scripts/manage_labels.py --account work profile
What ships with it
20 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.
- .gitignore 171 B
- accounts.yaml.example 324 B
- assets/accounts.default.yaml 757 B
- assets/email-templates.md 2.3 KB
- assets/signatures.md 1.6 KB
- pyproject.toml 421 B
- references/cli-usage.md 3.1 KB
- references/search-queries.md 1.2 KB
- references/setup-guide.md 3.6 KB
- scripts/core/__init__.py 436 B runs code
- scripts/core/batch_processor.py 16 KB runs code
- scripts/core/cache_manager.py 16 KB runs code
- scripts/core/quota_manager.py 8.6 KB runs code
- scripts/core/retry_handler.py 10 KB runs code
- scripts/gmail_client.py 39 KB runs code
- scripts/list_messages.py 4.2 KB runs code
- scripts/manage_labels.py 7.3 KB runs code
- scripts/read_message.py 3.8 KB runs code
- scripts/send_message.py 3.6 KB runs code
- scripts/setup_auth.py 6.8 KB runs code
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 · 111 lines · 53 tokens per session scan A 29be04b15e7a
gmail is a skill published in the GitHub repository team-attention/plugins-for-claude-natives (824 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 960 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
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.