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 Haohao-end/openagent --skill notion-research-documentationgit clone --depth 1 https://github.com/Haohao-end/openagentWrote 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/haohao-end/openagent/notion-research-documentation)<a href="https://agentmods.dev/skills/haohao-end/openagent/notion-research-documentation"><img src="https://agentmods.dev/badge/skills/haohao-end/openagent/notion-research-documentation/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/haohao-end/openagent/notion-research-documentation"><img src="https://agentmods.dev/badge/skills/haohao-end/openagent/notion-research-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00775 |
| Opus 5 | $0.00019 | $0.00387 |
| Sonnet 5 | $0.00008 | $0.00155 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
notion-research-documentation 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
2 near-identical copies found in the catalogue:
- notion-research-documentation — 100% identical, 0 lines differ
- notion-research-documentation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research & Documentation
Pull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).
Quick start
- Find sources with
Notion:notion-searchusing targeted queries; confirm scope with the user. - Fetch pages via
Notion:notion-fetch; note key sections and capture citations (reference/citations.md). - Choose output format (brief, summary, comparison, comprehensive report) using
reference/format-selection-guide.md. - Draft in Notion with
Notion:notion-create-pagesusing the matching template (quick, summary, comparison, comprehensive). - Link sources and add a references/citations section; update as new info arrives with
Notion:notion-update-page.
Workflow
0) If any MCP call fails because Notion MCP is not connected, pause and set it up:
- Add the Notion MCP:
codex mcp add notion --url https://mcp.notion.com/mcp
- Enable remote MCP client:
- Set
[features].rmcp_client = trueinconfig.tomlor runcodex --enable rmcp_client
- Set
- Log in with OAuth:
codex mcp login notion
After successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.
1) Gather sources
- Search first (
Notion:notion-search); refine queries, and ask the user to confirm if multiple results appear. - Fetch relevant pages (
Notion:notion-fetch), skim for facts, metrics, claims, constraints, and dates. - Track each source URL/ID for later citation; prefer direct quotes for critical facts.
2) Select the format
- Quick readout → quick brief.
- Single-topic dive → research summary.
- Option tradeoffs → comparison.
- Deep dive / exec-ready → comprehensive report.
- See
reference/format-selection-guide.mdfor when to pick each.
3) Synthesize
- Outline before writing; group findings by themes/questions.
- Note evidence with source IDs; flag gaps or contradictions.
- Keep user goal in view (decision, summary, plan, recommendation).
What ships with it
6 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 · 60 lines · 38 tokens per session scan A e88a46da978c
notion-research-documentation is a skill published in the GitHub repository Haohao-end/openagent (806 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 775 once invoked, about $0.0002 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.
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