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 ashish7802/awesome-api-skills --skill datadoggit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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/ashish7802/awesome-api-skills/datadog)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/datadog"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/datadog.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00464 |
| Opus 5 | $0.00000 | $0.00232 |
| Sonnet 5 | $0.00000 | $0.00093 |
| Haiku 4.5 | $0.00000 | $0.00046 |
Grade A, and why
datadog 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 8d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog API Skill
Overview
The Datadog API allows you to submit metrics, events, and manage dashboards programmatically. This skill focuses on the @datadog/datadog-api-client library.
Installation
npm install @datadog/datadog-api-client
pip install datadog-api-client
Authentication
Requires two headers: DD-API-KEY (for submitting data) and DD-APPLICATION-KEY (for reading data or managing configuration).
Core Concepts
- Metric: Time-series data points.
- Tags: Key:Value pairs attached to metrics (crucial for filtering).
- Monitor: An alert configured to trigger on thresholds.
Common Workflows
- Instantiate the API client.
- Construct a
Seriesobject with points and tags. - Call
metricsApi.submitMetrics.
Error Handling
Catch HTTP 403 (Invalid Keys) and HTTP 429. If submitting metrics fails, log the response.body.errors array.
Security
API keys have agent-level permissions. Application keys should be scoped strictly (e.g., dashboards_read).
Rate Limits
Submit Metrics endpoint allows 100 requests per 10 seconds. Use batching heavily.
Best Practices
Batch metrics before sending. Never submit a single data point per API call in high-throughput environments.
Troubleshooting
If metrics don't appear, ensure the UNIX timestamp attached to your points is in seconds, not milliseconds.
References
Why use this skill
Use this when your agent works with datadog — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
Production checklist
- Secrets in environment variables, not source code
- Error handling and logging in place
- Rate limits and timeouts configured
Related skills
- No graph relationships yet — see the knowledge graph in the docs site.
Last Verified: 2026-07-02
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 61 lines · 0 tokens per session scan A 455923e6e84a
datadog is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 464 tokens. 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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