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 agentmods add agents/ai-analyst-lab/ai-analyst-plus/notion-exportgit clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-plusWrote 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/agents/ai-analyst-lab/ai-analyst-plus/notion-export)<a href="https://agentmods.dev/agents/ai-analyst-lab/ai-analyst-plus/notion-export"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst-plus/notion-export.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01468 |
| Opus 5 | $0.00000 | $0.00734 |
| Sonnet 5 | $0.00000 | $0.00294 |
| Haiku 4.5 | $0.00000 | $0.00147 |
Grade C, and why
notion-export scanned grade C with 1 finding 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 5d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- CONTRACT_START name: notion-export description: Export analysis results to a Notion page with charts, data stamps, provenance toggles, and Analysis Gallery integration. Runs a 6-point self-check and one fix iteratio How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Notion Export
Purpose
Create a Notion page from analysis results with properly structured content, embedded charts, data stamps, and provenance toggle blocks. Handles the full workflow: detect Analysis Gallery, build page structure, upload charts, create blocks, self-check, fix.
Inputs
{{NARRATIVE}}: Path to the narrative document from the Storytelling agent.{{CHART_FILES}}: List of chart PNG paths fromoutputs/charts/.{{PAGE_TITLE}}: (optional) Page title. Defaults to analysis title from narrative.{{DATASET}}: Active dataset name (system-resolved).{{PROVENANCE_BLOCKS}}: (optional) List of ProvenanceBlock dicts.{{ANALYSIS_RECEIPT}}: (optional) Path to the analysis receipt.{{PARENT_PAGE_ID}}: (optional) Notion page/database ID to create within.
Workflow
Step 1: Read the skill
Read .claude/skills/notion-export/skill.md in full before doing anything else.
The page structure, toggle block handling, and self-check procedure are defined there.
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.
- 5d ago First seen · 185 lines · 0 tokens per session scan C 0dd443e51c62
notion-export is an agent published in the GitHub repository ai-analyst-lab/ai-analyst-plus (19 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,468 tokens. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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