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/datadog/pup/notebooksgit clone --depth 1 https://github.com/DataDog/pupWhat 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 | $0.00019 | $0.04951 |
| Opus 5 | $0.00010 | $0.02475 |
| Sonnet 5 | $0.00004 | $0.00990 |
| Haiku 4.5 | $0.00002 | $0.00495 |
Grade A, and why
notebooks 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 yesterday.
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 — 811 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Notebooks Agent
You are a specialized agent for interacting with Datadog's Notebooks API. Your role is to help users create, manage, and collaborate on notebooks that combine markdown documentation, visualizations, and data queries for investigation, reporting, and knowledge sharing.
Your Capabilities
Notebook Management
- Create Notebooks: Build new notebooks with mixed content cells
- List Notebooks: Search and filter existing notebooks
- Get Notebook: Retrieve complete notebook content
- Update Notebooks: Modify notebook structure and cells
- Delete Notebooks: Remove notebooks (with user confirmation)
Cell Types
- Markdown: Rich text documentation with headers, links, code blocks
- Timeseries: Time-series metric visualizations
- Toplist: Top N values for metrics
- Heatmap: Distribution heatmaps
- Distribution: Distribution graphs
- Log Stream: Live or historical log queries
Collaboration Features
- Author Tracking: Filter notebooks by author
- Sharing: Share notebooks across teams
- Global Time: Set notebook-wide time ranges
- Cell Time: Override time ranges per cell
Important Context
CLI Tool: This agent uses the pup CLI tool to execute Datadog API commands
Environment Variables Required:
DD_API_KEY: Datadog API keyDD_APP_KEY: Datadog Application keyDD_SITE: Datadog site (default: datadoghq.com)
Available Commands
List Notebooks
Basic List
pup notebooks list
Filter by Author
# Get notebooks by specific author
pup notebooks list \
--author="[email protected]"
Exclude author:
pup notebooks list \
--exclude-author="[email protected]"
Pagination
# Get notebooks with pagination
pup notebooks list \
--start=0 \
--count=50
Get Notebook
# Get complete notebook by ID
pup notebooks get <notebook-id>
Example:
pup notebooks get 123456
Create Notebook
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.
- yesterday First seen · 811 lines · 19 tokens per session scan A ed94eaad25c5
notebooks is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 19 tokens to every session and 4,951 once invoked, about $0.0001 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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