Opik is an open-source platform for tracing, evaluating, and monitoring applications that use large language models, retrieval systems, or AI agents. Teams use it to inspect agent activity, manage prompts, run evaluations, and monitor these applications in production.
Borrowing it
Nothing to install: this file belongs to comet-ml/opik. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/comet-ml/opik/main/.agents/skills/opik-external-integrations/SKILL.mdgit clone --depth 1 https://github.com/comet-ml/opikWrote 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/comet-ml/opik/opik-external-integrations)<a href="https://agentmods.dev/skills/comet-ml/opik/opik-external-integrations"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/opik-external-integrations/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/comet-ml/opik/opik-external-integrations"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/opik-external-integrations.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 | $0.00097 | $0.01212 |
| Opus 5.5 | $0.00039 | $0.00485 |
| Sonnet 5.5 | $0.00019 | $0.00242 |
| Haiku 4.5 | $0.00010 | $0.00121 |
Grade A, and why
opik-external-integrations 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 2mo 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opik External Integrations
This skill builds Opik integrations whose code does not live in this repository. Two shapes:
- Standalone
opik-*package / plugin — its own repo or package that depends on the published Opik SDK. Examples:opik-openclaw,opik-claude-code-plugin. - Upstream contribution — Opik support added into a third-party project that already has its own logging/callback/plugin system. Examples: an Opik callback in LiteLLM, an Opik integration in Dify.
Activation gate — read this first. Use this skill only when the target lives in an external repo or external package. If the user wants an integration that ships inside
sdks/python/src/opik/integrations/orsdks/typescript/src/opik/integrations/, this is the wrong skill — useopik-integrations. When in doubt, ask the "where does it live" question (below) and route accordingly.
Two principles that make external work different
- Follow the HOST repo's conventions, not this repo's. Structure, dependency management, lint/format, test framework, docs, and the contribution guide are dictated by the target project. Do not impose
sdks/layout,fake_backend, or Fern docs on an external repo. Read itsCONTRIBUTING/AGENTS.mdand mirror its closest existing integration/plugin. - Consume Opik through its PUBLISHED public API. Use the released
opik(Python) /opik(TypeScript) SDK or the REST API — the same surface end users get. Never import this repo's internal modules (opik.decorator.*,rest_api, message-processing internals); they are not available outside this repo and are not a stable contract.
Start with the questionnaire
Collect everything up front, free-form — do not propose a target. See workflow.md Phase 0 for the full list. The essentials: which external repo/package (URL + links), integration shape (standalone package vs. upstream contribution vs. plugin), host language/stack, where the Opik code goes, how the host tests and documents, and how to run it to verify.
What ships with it
2 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.
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.
- 2mo ago First seen · 49 lines · 97 tokens per session scan A 0293f90ab0fc
opik-external-integrations is a skill published in the GitHub repository comet-ml/opik (22,998 stars, last pushed today), licensed Apache-2.0. It adds 97 tokens to every session and 1,212 once invoked, about $0.0004 per session on Opus 5.5. 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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