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-labs/agent-skills --skill dd-apmgit clone --depth 1 https://github.com/datadog-labs/agent-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/datadog-labs/agent-skills/dd-apm)<a href="https://agentmods.dev/skills/datadog-labs/agent-skills/dd-apm"><img src="https://agentmods.dev/badge/skills/datadog-labs/agent-skills/dd-apm/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-labs/agent-skills/dd-apm"><img src="https://agentmods.dev/badge/skills/datadog-labs/agent-skills/dd-apm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00054 | $0.01850 |
| Opus 5 | $0.00027 | $0.00925 |
| Sonnet 5 | $0.00011 | $0.00370 |
| Haiku 4.5 | $0.00005 | $0.00185 |
Grade A, and why
dd-apm 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- dd-apm — 89% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog APM
Distributed tracing, service maps, and performance analysis.
Routing — Read This First
Match the user's request to one of the entries below. Each entry has the same shape: triggers → which sub-skill to load → the anti-pattern to avoid. If a request seems to fit more than one entry, see "Overlap disambiguation". If nothing matches, see "None of the above" at the end.
Kubernetes APM install / instrument / onboard — trigger when the user mentions Kubernetes, K8s, EKS, GKE, AKS, kind, minikube, K3s, helm, DatadogAgent CR, kubectl, SSI on a cluster, pod injection, or init containers.
Immediately read .claude/skills/dd-apm/k8s-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/k8s-ssi/enable-ssi/SKILL.md, then .claude/skills/dd-apm/k8s-ssi/verify-ssi/SKILL.md — do not proceed from memory.
Common wrong approaches that LOOK like they work but silently fail:
helm install datadog datadog/datadog— the standard chart does NOT support SSI via DatadogAgent CR.- Adding
ddtraceimports orddtrace-runto the app — SSI auto-instruments WITHOUT any code changes.admission.datadoghq.com/enabledannotations — that's admission controller config injection, not SSI init container injection.
Linux APM install / instrument / onboard — trigger when the user mentions a single host, VM, EC2 instance, bare-metal, RHEL/Ubuntu/Debian, systemd, or no orchestrator.
Immediately read .claude/skills/dd-apm/linux-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/linux-ssi/enable-ssi/SKILL.md, then .claude/skills/dd-apm/linux-ssi/verify-ssi/SKILL.md — do not proceed from memory.
Do NOT install the agent via plain
apt-get install datadog-agent(or yum equivalent) and assume SSI follows — host auto-instrumentation requires the install script with the SSI flags, which the sub-skill walks through.
Service rename / service remapping — trigger when the user mentions renaming a service, collapsing multiple service names, stripping suffixes/prefixes, or cleaning up inferred services.
What ships with it
11 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.
- k8s-ssi/agent-install/SKILL.md 8.2 KB
- k8s-ssi/enable-ssi/SKILL.md 11 KB
- k8s-ssi/onboarding-summary/SKILL.md 3.8 KB
- k8s-ssi/troubleshoot-ssi/SKILL.md 20 KB
- k8s-ssi/verify-ssi/SKILL.md 4.8 KB
- linux-ssi/agent-install/SKILL.md 10 KB
- linux-ssi/enable-ssi/SKILL.md 7.8 KB
- linux-ssi/onboarding-summary/SKILL.md 4.5 KB
- linux-ssi/troubleshoot-ssi/SKILL.md 19 KB
- linux-ssi/verify-ssi/SKILL.md 6.1 KB
- service-remapping/SKILL.md 19 KB
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.
- 10d ago First seen · 179 lines · 54 tokens per session scan A 866fb835a4e6
dd-apm is a skill published in the GitHub repository datadog-labs/agent-skills (168 stars, last pushed 14d ago), licensed MIT. It adds 54 tokens to every session and 1,850 once invoked, about $0.0003 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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