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-instrument-rumgit 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-instrument-rum)<a href="https://agentmods.dev/skills/datadog-labs/agent-skills/dd-instrument-rum"><img src="https://agentmods.dev/badge/skills/datadog-labs/agent-skills/dd-instrument-rum/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-instrument-rum"><img src="https://agentmods.dev/badge/skills/datadog-labs/agent-skills/dd-instrument-rum.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 | $0.00131 | $0.02013 |
| Opus 5 | $0.00066 | $0.01007 |
| Sonnet 5 | $0.00026 | $0.00403 |
| Haiku 4.5 | $0.00013 | $0.00201 |
Grade A, and why
dd-instrument-rum 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 11d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog Browser RUM instrumentation
Instrument only the browser application in scope. Do not add Datadog APM, tracing, LLM Observability, Logs, source-map upload, user identification, Vercel metadata, Shopify, Salesforce, or unrelated Datadog products.
Use normal file inspection, editing, and command tools for every step except optional RUM application creation. Use only CreateRumApplication for that operation, as described in references/common-credentials.md; never invent Datadog tool names.
Ground rules
- Inspect before editing. Base every framework, version, entrypoint, command, and configuration decision on project files.
- Copy package names, import paths, exported symbols, and init option keys exactly from the applicable references. Do not substitute package aliases or recreate SDK APIs from memory.
- Post a short checklist before making changes and update it as work completes.
- Initialize RUM exactly once and as early as safely possible in the browser lifecycle. Never put
init()in a component render, lifecycle hook, route handler, or repeated callback. - Preserve an existing valid init configuration. Add missing compatible framework plugin wiring to that init in place; never create a competing init.
- Existing-init credential guardrail: when one valid RUM init already exists, treat its
applicationId,clientToken,site, service tags, sampling, privacy, tracking, and every other existing option as immutable. Credentials supplied by the task are for a new init only; they are not an override for an existing valid init. In this branch, do not rewrite credential lines while adding plugin wiring. - Stop without editing when required credentials cannot be resolved,
siteis invalid, framework/plugin prerequisites are unmet, permissions prevent the work, or multiple conflicting init calls cannot be safely consolidated. - Install only packages required for Browser RUM. Keep
@datadog/browser-rumand every@datadog/browser-rum-*integration package on the same exact SDK version. - Persist dependencies in the manifest and lockfile used by the real build. Do not rely on packages that happen to exist in
node_modules. - Preserve application behavior, existing custom error handling, formatting conventions, and unrelated code.
- Apply edits with the available file-editing tool. If an expected text match fails, re-read the file and adapt to its current contents instead of retrying the same edit.
- Do not write project paths, framework details, credentials, client tokens, or RUM application IDs to persistent memory.
- Run a terminating build before reporting success. Never claim telemetry was received unless it was actually observed.
What ships with it
9 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.
- references/common-credentials.md 3.0 KB
- references/common-verify-report.md 2.6 KB
- references/rum-angular.md 1.9 KB
- references/rum-core.md 5.5 KB
- references/rum-nextjs.md 3.0 KB
- references/rum-nuxt.md 1.5 KB
- references/rum-other-frameworks.md 2.5 KB
- references/rum-react.md 3.2 KB
- references/rum-vue.md 1.8 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.
- 11d ago First seen · 112 lines · 131 tokens per session scan A b44173f86509
dd-instrument-rum is a skill published in the GitHub repository datadog-labs/agent-skills (169 stars, last pushed 15d ago), licensed MIT. It adds 131 tokens to every session and 2,013 once invoked, about $0.0007 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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