Skill profile

dd-browser-sdk

Datadog Browser SDK : RUM, Logs, Session Replay, profiling, product analytics, and error tracking...

What this skill does for you

Datadog Browser SDK : RUM, Logs, Session Replay, profiling, product analytics, and error tracking setup, configuration, and migration. Use when upgrading Browser SDK versions, setting up RUM or Logs, or troubleshooting browser-side Datadog instrumentation.

Quoted from the skill description in the pinned source

Who made it

Publisherdatadog-labs

Repositoryagent-skills

Installs497as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the dd-browser-sdk skill from datadog-labs/agent-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 7f8b08f4fa57211ac1b2b42d9771c9e0c4d79124. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 7f8b08f4fa57211ac1b2b42d9771c9e0c4d79124. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 7f8b08f4fa57211ac1b2b42d9771c9e0c4d79124. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/datadog-labs/agent-skills
Pinned skill file: View source at revision
Revision: 7f8b08f4fa57211ac1b2b42d9771c9e0c4d79124
Package hash: sha256:a67ed61a33371324320302d4bb08516ec6c09eba596fa8f96fbe4976949bfb36
Licence: MIT