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 7df-lab/devo --skill notiongit clone --depth 1 https://github.com/7df-lab/devoWrote 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/7df-lab/devo/notion)<a href="https://agentmods.dev/skills/7df-lab/devo/notion"><img src="https://agentmods.dev/badge/skills/7df-lab/devo/notion/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/7df-lab/devo/notion"><img src="https://agentmods.dev/badge/skills/7df-lab/devo/notion.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 | $0.00033 | $0.00468 |
| Opus 5.5 | $0.00013 | $0.00187 |
| Sonnet 5.5 | $0.00007 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
notion 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 10d 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
1 near-identical copy found in the catalogue:
- notion — 100% identical, 0 lines differ
What it actually says
Notion
Talk to Notion through its official hosted MCP server from the Python kernel.
Setup
Connect via /login → Services tab → Notion (OAuth in the browser).
/mcp login notion does the same. Once connected, this skill is enabled
automatically. If a call raises NotEnabled, the user isn't logged in — walk
them through /login; don't ask them to set environment variables.
Usage
The tool set is defined by the server, not by this skill, so discover before you call — don't assume tool names or argument names:
Notion's tools are named with hyphens (e.g. notion-search, notion-fetch),
which are not valid Python identifiers — so call them via call_tool:
import notion
# 1. Discover available tools (returns names + schemas)
for tool in await notion.list_tools():
print(tool["name"], "-", tool["description"])
# 2. Call by exact name; the second arg matches the tool's input schema
result = await notion.call_tool("notion-search", {"query": "roadmap"})
print(result)
Tools whose names are valid identifiers can also be called as
await notion.<tool>(**args), and help(notion.<tool>) shows their schema once
list_tools() has run.
Notes:
- Every call is
async— alwaysawait. - Results are already-parsed Python (a
dictfor structured output, otherwise a string). No need tojson.loadsthem. - Run
list_tools()before relying onhelp()or assuming a tool exists — the server's schema is the source of truth for names and arguments. - The kernel import name is
notion. On a custom kernel Python that already has the unrelated PyPInotionclient installed,import notionmay resolve to that instead; use the default managed kernel venv to avoid the clash.
What ships with it
2 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.
- 10d ago First seen · 50 lines · 33 tokens per session scan A 103ed0201acd
notion is a skill published in the GitHub repository 7df-lab/devo (321 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 468 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-06.
Other skills, from other repositories
office-docx
A tool for creating and reading editable Microsoft Word documents in the .docx format. It supports common document parts such as headings, paragraphs, tables, code blocks, lists, and centred titles.
Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
dsh-doc
Create, restructure, review, audit, or migrate DeepSeek Harness Markdown documentation, package READMEs, and the documentation website using audience-first hierarchy, kind-mapped YAML metadata, bilingual line alignment, summary/contents navigation, progressive user-to-developer detail, executed-operation…
plugin-creator
Create and scaffold plugin directories for Codex with a required .codex-plugin/plugin.json, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries…
codex-pr-body
Update the title and body of one or more pull requests.
update-v8-version
Update Codex's pinned v8 / rustyv8 versions, validate the release-candidate path, and investigate failed V8 canary or artifact builds. Use when asked to bump V8, update rustyv8 artifacts, prepare or validate a V8 release candidate, check v8-canary, or diagnose why a V8 version update no longer builds.