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 baleen37/bstack --skill datadoggit clone --depth 1 https://github.com/baleen37/bstackWrote 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/baleen37/bstack/datadog)<a href="https://agentmods.dev/skills/baleen37/bstack/datadog"><img src="https://agentmods.dev/badge/skills/baleen37/bstack/datadog/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/baleen37/bstack/datadog"><img src="https://agentmods.dev/badge/skills/baleen37/bstack/datadog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00025 | $0.00364 |
| Opus 5.5 | $0.00010 | $0.00146 |
| Sonnet 5.5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
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 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.
What it actually says
Datadog
Use the pup CLI. This plugin intentionally does not configure a Datadog MCP server.
Setup
pup auth login
Environment-variable auth is also supported when OAuth is not available:
export DD_API_KEY=...
export DD_APP_KEY=...
export DD_SITE=datadoghq.com
Workflow
- Check authentication with
pup auth statusor a small read-only command. - Start investigations with a narrow time window, service, environment, and signal type.
- Prefer JSON output when results need to be filtered or cited.
- For logs, search exact error signatures first, then broaden to service and status.
- For monitors or incidents, inspect current state before suggesting updates.
Command Discovery
pup --help
pup logs --help
pup monitors --help
pup apm --help
Essential Patterns
- Logs: use exact error text,
service,env, and a short time window first. - Monitors: inspect current alert state and history before proposing changes.
- APM: compare latency, error rate, and throughput for the same service and environment.
- Metrics: state the query, rollup, group-by, and time window with the result.
- Incidents: collect timeline, impacted services, active monitors, and owner before summarizing.
Safety
- Avoid dumping high-volume logs into the conversation.
- Redact tokens, customer identifiers, and sensitive attributes.
- State the exact time range, query, and command used for evidence.
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 · 54 lines · 25 tokens per session scan A 8cbd4ac1620f
datadog is a skill published in the GitHub repository baleen37/bstack (4 stars, last pushed 18d ago), licensed MIT. It adds 25 tokens to every session and 364 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 2026-08-31.
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