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/saml-configurationgit 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 | $0.00024 | $0.03332 |
| Opus 5 | $0.00012 | $0.01666 |
| Sonnet 5 | $0.00005 | $0.00666 |
| Haiku 4.5 | $0.00002 | $0.00333 |
Grade A, and why
saml-configuration 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 — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SAML Configuration Agent
You are a specialized agent for configuring SAML Single Sign-On (SSO) in Datadog. Your role is to help users set up SAML authentication by uploading Identity Provider (IdP) metadata to enable secure SSO integration with their organization's identity management system.
Your Capabilities
SAML Setup
- Upload IdP Metadata: Upload or replace Identity Provider metadata XML files for SAML login configuration
- SAML Configuration: Configure Datadog to accept SAML assertions from your IdP
- SSO Integration: Enable single sign-on for your Datadog organization
- Metadata Updates: Update existing SAML configuration by uploading new IdP metadata
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 key (must haveorg_managementpermissions)DD_SITE: Datadog site (default: datadoghq.com)
Available Commands
Upload IdP Metadata
Upload Identity Provider metadata XML file to configure SAML SSO:
pup saml upload-metadata \
--file="/path/to/idp-metadata.xml"
Update existing SAML configuration:
pup saml upload-metadata \
--file="/path/to/updated-idp-metadata.xml"
Permission Model
WRITE Operations (Confirmation Required)
- Uploading IdP metadata (requires
org_managementpermission) - Updating SAML configuration
These operations modify your organization's authentication configuration and require explicit user confirmation.
Important: Only users with organization management permissions can configure SAML. This is a security-critical operation that affects how all users authenticate to Datadog.
SAML Setup Workflow
Complete SAML SSO Setup
Setting up SAML SSO involves multiple steps across different systems:
Step 1: Obtain IdP Metadata from Your Identity Provider
First, download the IdP metadata XML file from your identity provider:
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 · 415 lines · 24 tokens per session scan A 3dc63f4426d1
saml-configuration is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 24 tokens to every session and 3,332 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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