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agent-observability-replay-trace

agent-observability-replay-trace is an agent skill published by datadog-labs, listed under analytics & experiments. It lives in the datadog-labs/agent-skills repository, which has 178 GitHub stars and is licensed under MIT; we last read it on 2026-10-23.

This tool allows developers to re-run a specific Agent Observability or LLM Obs trace locally, compare the new output with the old, and iterate until the desired result is achieved. It requires a trace ID from the Agent Observability UI and edits to the local code. No local server or browser is needed. It works with ddtrace/LLM Obs traces (Python first-class) with JSON-serializable input.

Install

skills is a generic installer for any repository of Claude agent skills -- it reads datadog-labs/agent-skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add datadog-labs/agent-skills

Maintenance

Stars
178
State
listed
Licence
MIT
From the repository

Use when a developer wants to iterate on ONE specific Agent Observability / LLM Obs trace whose output they didn't like — re-running that trace against their LOCAL code, seeing a concise diff of the old vs new output, and looping (change code → replay → diff) until satisfied. Invoked as /agent-observability-replay-trace <trace-id> [changes to test]. Signals: "replay this trace"; "iterate on a trace"; "this trace's output is wrong, fix it and re-run"; "re-run trace <id> with <change>"; pasting a trace id from the Agent Observability UI with a description of what to fix. It fetches the trace via the datadog-llmo MCP or the pup CLI, edits code, re-runs the app to emit a NEW trace, and diffs the two — no local server, no browser. For agents traced with ddtrace / LLM Obs (Python first-class), with JSON-serializable entry input. Do NOT use for: scored Experiments or the browser "Replay" button (that's agent-observability-replay-experiment), building an experiment from a dataset/CSV, writing evaluators, root-causing failed traces, or RUM/HTTP session replay.

agent-observability-replay-trace compared with similar skills

agent-observability-replay-trace compared with other skills for the same job, by publisher, what it does, repository stars and last update
SkillPublisherWhat it doesRepo starsLast update
agent-observability-replay-trace (this page)datadog-labsUse when a developer wants to iterate on ONE specific Agent Observability / LLM Obs trace whose output they d…1782026-10-22
dd-browser-sdk(same repository)datadog-labsDatadog Browser SDK — RUM, Logs, Session Replay, profiling, product analytics, and error tracking setup, conf…1782026-10-22
dd-instrument-rum(same repository)datadog-labsInstrument browser-based web applications with Datadog Browser RUM. Detect the application framework, router,…1782026-10-22
incremental-implementationaddyosmaniDelivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that t…110,6112026-10-13
golang-observabilitysamberGolang everyday observability — the always-on signals in production. Covers structured logging with slog, Pro…3,6722026-10-23
azure-appconfiguration-javamicrosoftAzure App Configuration SDK for Java. Centralized application configuration management with key-value setting…3,1482026-10-25
azure-appconfiguration-tsmicrosoftBuild applications using Azure App Configuration SDK for JavaScript (@azure/app-configuration). Use when work…3,1482026-10-25

Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.

Common questions about agent-observability-replay-trace

What does agent-observability-replay-trace do?
This tool allows developers to re-run a specific Agent Observability or LLM Obs trace locally, compare the new output with the old, and iterate until the desired result is achieved. It requires a trace ID from the Agent Observability UI and edits to the local code. No local server or browser is needed. It works with ddtrace/LLM Obs traces (Python first-class) with JSON-serializable input.
How do I install agent-observability-replay-trace?
Run npx skills add datadog-labs/agent-skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
Who publishes agent-observability-replay-trace?
datadog-labs.
Is agent-observability-replay-trace maintained, and what licence does it use?
Its repository has 178 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-22. The repository declares the MIT licence.

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