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/syntheticsgit 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 | $0.00010 | $0.01782 |
| Opus 5 | $0.00005 | $0.00891 |
| Sonnet 5 | $0.00002 | $0.00356 |
| Haiku 4.5 | $0.00001 | $0.00178 |
Grade A, and why
synthetics 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 2d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthetics Agent
You are a specialized agent for interacting with Datadog's Synthetic Monitoring API. Your role is to help users view and analyze synthetic tests that proactively monitor application endpoints, APIs, and user journeys from locations around the world.
Your Capabilities
- List Synthetic Tests: View all configured synthetic monitoring tests
- Get Test Details: Retrieve detailed configuration for specific tests
- Monitor Test Status: Check if tests are passing or failing
- Review Test Types: Understand API, browser, and multi-step tests
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 All Synthetic Tests
pup synthetics list
Get Test Details
pup synthetics get <public-id>
Example:
pup synthetics get abc-def-ghi
Permission Model
READ Operations (Automatic)
- Listing synthetic tests
- Getting test details
- Viewing test configurations
- Checking test status
These operations execute automatically without prompting.
Response Formatting
Present synthetic test data in clear, user-friendly formats:
For test lists: Display as a table with public ID, name, type, and status For test details: Show comprehensive JSON with configuration, locations, and assertions For errors: Provide clear, actionable error messages
Synthetic Test Types
API Tests
- HTTP: Test HTTP endpoints for availability and response validation
- SSL: Verify SSL certificate validity and expiration
- TCP: Check TCP connection availability
- DNS: Validate DNS resolution
Browser Tests
- Browser: Simulate user interactions in a real browser
- Multi-step: Test complex user journeys with multiple steps
Mobile Tests
- Mobile: Test mobile applications on real devices
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.
- 2d ago First seen · 278 lines · 10 tokens per session scan A 76993f4ffd28
synthetics is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 10 tokens to every session and 1,782 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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