DataDog/pup is a command-line client that gives AI agents access to Datadog's observability platform. It lets agents retrieve and manage information across Datadog products such as metrics, logs, monitors, RUM, and security data, with structured output for automation.
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 DataDog/pup --skill dd-file-issuegit clone --depth 1 https://github.com/DataDog/pupWrote 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/datadog/pup/dd-file-issue)<a href="https://agentmods.dev/skills/datadog/pup/dd-file-issue"><img src="https://agentmods.dev/badge/skills/datadog/pup/dd-file-issue/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/datadog/pup/dd-file-issue"><img src="https://agentmods.dev/badge/skills/datadog/pup/dd-file-issue.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 | $0.00020 | $0.02266 |
| Opus 5.5 | $0.00008 | $0.00906 |
| Sonnet 5.5 | $0.00004 | $0.00453 |
| Haiku 4.5 | $0.00002 | $0.00227 |
Grade A, and why
dd-file-issue 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 1mo 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DD File Issue Skill
This skill helps you file GitHub issues to the correct repository. All issues — whether related to the pup CLI, skills, agents, or documentation — are tracked in DataDog/pup.
Invocation: /dd-file-issue
Decision Logic: Which Repository?
File to DataDog/pup Repository
All issues are filed here, including:
- API Functionality: API calls failing, incorrect responses, missing API endpoints
- Authentication: OAuth2 issues, token refresh problems, API key handling
- CLI Behavior: Command syntax, flags not working, output format issues
- pup Installation: Binary installation, PATH issues, version problems
- API Coverage: Missing Datadog API endpoints, incomplete command coverage
- Performance: Slow API calls, timeout issues
- Error Messages: Confusing pup error messages, API errors
- Agent Behavior: Agent selection, agent prompts, agent responses
- Documentation: README, CLAUDE.md, AGENTS.md, agent files inaccurate
- Agent Prompts: Agent giving wrong guidance, unclear instructions
- Skill Issues: Skills not working correctly
- Agent Selection: Claude picking wrong agent for task
- Examples/Guides: Missing or incorrect examples in agent files
- User Experience: Confusing workflows, unclear instructions
Example Issues:
- "pup logs search returns 404 error"
- "OAuth token refresh not working"
- "Need support for new Datadog API endpoint"
- "pup --output=json returns invalid JSON"
- "pup auth login fails on Linux"
- "logs agent doesn't explain query syntax clearly"
- "Agent tells me to use wrong pup command"
- "Documentation says to use TypeScript but we use pup now"
- "Need better examples for metrics queries"
- "Agent selection guide is confusing"
Workflow
-
Gather Information
- What went wrong?
- What were you trying to do?
- What error message did you see (if any)?
- What agent/command were you using?
-
Determine Repository
- All issues go to
DataDog/pup
- All issues go to
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.
- 1mo ago First seen · 346 lines · 20 tokens per session scan A 870aa7df23bc
dd-file-issue is a skill published in the GitHub repository DataDog/pup (1,030 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 2,266 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
operating-github-cli
Default GitHub skill for the action agent. Use githubcli for any GitHub request — create/list/view/close issues and PRs, assign, labels, repos, releases, checks, github.com/owner/repo URLs, or gh api. Prefer over shellrun/!gh. Run these with githubcli in the current agent turn.
tracking-github-work-status
Use GitHub workflow tools to read work status, draft reports, summarize follow-ups, and execute only approved issue mutations.
quality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
follow-up-after-call
Use after a completed customer, prospect, partner, or important internal sales call, discovery session, demo, or conversation, including when the user supplies or uploads a transcript, notes, recording summary, or other grounded evidence. Advise on, assess, qualify, recap, and produce seller-ready follow-up actions…
fixing-github-security-alerts
Remediate GitHub security / Dependabot / CodeQL / code-quality alerts via fixgithubsecurityalert.
requirements-writer
Use when converting PM intake into a slice SPEC.md with observable acceptance outcomes, explicit scope, and advisory sibling build dependencies.