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Updated 1w ago

by comet-ml

opik-claude-code-plugin

Log Claude Code sessions to Opik, the open-source LLM observability and evaluation platform, built by Comet. Tracing, evaluation, and skills for observable AI applications.

  • Active — Updated in the last 14 days
Works with
  • Claude
View on GitHub (opens in a new tab)

23 GitHub stars (23)

Steady at 23 stars — no new stars in the 16 days since Sep 30.

  • 10 skills (10 skills found in its SKILL.md files)
  • 5 forks (5 forks)
  • 1w ago last update (Last updated 1w ago)

Install

Skills CLI

npx skills add comet-ml/opik-claude-code-plugin

Asks which skills and agents to install. Just one: npx skills add comet-ml/opik-claude-code-plugin --skill opik-compare — add -g for every project.

Claude Code

git clone https://github.com/comet-ml/opik-claude-code-plugincp -r "opik-claude-code-plugin/skills/opik-compare" ~/.claude/skills/

Copies the opik-compare skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add comet-ml/opik-claude-code-plugin

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • opik-compare

    Run a candidate against the baseline over an Opik test suite and read the numbers back — which cases broke, which got fixed, the per-metric deltas, worst rows, and whether the two runs are comparable — with the Opik compare-view link. Runs via the SDK; reads results via the MCP when connected. Does not issue a ship/no-ship verdict. Use for "did my fix work", "compare against the baseline", "run t…

    skills/opik-compare/SKILL.md on GitHub (opens in a new tab)

  • opik-diagnose

    Surface the Opik traces worth a developer's attention, ranked by signal — Diagnostics issues first, then errors, failed tool calls, latency, regressions, and low online-eval scores. With the Opik MCP connected it lists the project's agent_insights_issue entities, offers to turn Diagnostics on when the project has it switched off, then fills the gaps with list (filters, sort, a time window); witho…

    skills/opik-diagnose/SKILL.md on GitHub (opens in a new tab)

  • opik-evaluate

    Build an LLM evaluation and run it against the app, returning an Opik experiment with scores and its link. Picks a test suite with judge assertions or a dataset with metrics, sources cases from traces or synthetic data, scores heuristics-first then one-failure-mode judges, runs client-side via the SDK or server-side for prompt-only targets, and reads the scores back. Covers RAG evaluation, error…

    skills/opik-evaluate/SKILL.md on GitHub (opens in a new tab)

  • opik-explain

    Root-cause a specific Opik trace, or a pattern across traces, and return a grounded explanation. Uses the hosted Opik MCP when it is connected, and falls back to SDK scripting otherwise. Returns the root cause, the evidence spans as clickable Opik UI links, and one suggested next step. Use for "why did this trace fail", "explain this trace", "debug this trace", "why is my agent slow or wrong". No…

    skills/opik-explain/SKILL.md on GitHub (opens in a new tab)

  • opik-instrument

    Add Opik tracing to an existing app and verify a real trace lands. Installs the Opik package, detects the language and LLM framework, adds the minimum tracing, runs a safe representative path, confirms a trace in Opik, and returns the trace link. Use for "instrument my code", "add opik tracing", "add observability", "trace my agent". Not for building a new app from scratch, or a review-only pass…

    skills/opik-instrument/SKILL.md on GitHub (opens in a new tab)

  • opik-online-eval

    Take a judge live on production traffic — create an Opik online evaluation rule (LLM-as-judge or Python metric) on a project with sampling, filters, variable mapping, and a cost cap, then confirm new traces are being scored. Works over the SDK's REST client; reads rules and score names via the MCP when connected. Returns the rule, the score name it emits, and how to watch it. Use for "score produ…

    skills/opik-online-eval/SKILL.md on GitHub (opens in a new tab)

  • opik-optimize

    Improve a prompt with the Opik Agent Optimizer — resolve the prompt, a dataset, and a metric, pick the algorithm, run a bounded optimization, check the gain on held-out data, and save the winner as a new prompt version with the optimization run link. Runs via the opik-optimizer package; reads prompts and datasets via the MCP when connected. Use for "optimize this prompt", "improve my system promp…

    skills/opik-optimize/SKILL.md on GitHub (opens in a new tab)

  • opik-test

    Turn a failing Opik trace (or a described failure) into a repeatable regression check — a test-suite item with the trace's input and one or two binary assertions — so a fix can be verified by the compare skill. Works over the SDK; uses the MCP write tool when connected. Returns the suite, the item, and the assertion. Use for "turn this into a test", "add a regression case for this trace", "make s…

    skills/opik-test/SKILL.md on GitHub (opens in a new tab)

  • opik-verify

    Decide ship or hold for a candidate from the compare skill's numbers, against an explicit release policy — regressions, pass rate, safety-tagged cases, subgroup consistency, latency and cost budgets, flakiness, evidence size, and whether the judge is validated. Reads two experiments on an Opik test suite via the SDK (or the MCP when connected) and returns a verdict with every criterion shown pass…

    skills/opik-verify/SKILL.md on GitHub (opens in a new tab)

  • opik

    Reference for the Opik SDK — tracing, span types, framework integrations, threads, and the prompt library (Python, TypeScript, REST). Use for "what span types exist", "how do I flush", "track_openai", "add OpikTracer", "version a prompt". To instrument a repo end to end, use the `opik-instrument` skill.

    skills/opik/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.