opik-diagnose

opik-diagnose is a skill for Claude Code from comet-ml/opik-mcp. It costs 187 tokens per session (2,641 once invoked), scanned A, original, Apache-2.0.

A read-only diagnostic review of live Opik traces, which are records of how an AI application or agent ran. It ranks a short list of traces and diagnostic issues by signals such as errors, failed tool calls, slow response times, regressions, or low evaluation scores.

In plain words
What is it for?
Use it to find important traces for a project over a recent time window, such as errors today or unusually slow runs. It reports trace IDs and reasons for attention so another diagnostic step can investigate them.
Why use it?
It turns a large stream of production runs into a small set of problems worth investigating. This helps developers focus on real failures and performance issues without changing code.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions Codex.

Part of the opik plugin — 10 skills, 1 MCP server shipped together

Good fit Use it to find important traces for a project over a recent time window, such as errors today or unusually slow runs. It reports trace IDs and reasons for attention so another diagnostic step can investigate them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/comet-ml/opik-mcp/opik-diagnose
Install

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.

Any agent
npx skills add comet-ml/opik-mcp --skill opik-diagnose
Clone the repo
git clone --depth 1 https://github.com/comet-ml/opik-mcp

Made for: Claude Code.

Or install opik, the plugin that ships this one along with the rest of its 10 skills, 1 MCP server.

Wrote 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.

agentmods badge for opik-diagnose

README.md
[![agentmods](https://agentmods.dev/badge/skills/comet-ml/opik-mcp/opik-diagnose/github.svg)](https://agentmods.dev/skills/comet-ml/opik-mcp/opik-diagnose)
Your own site
<a href="https://agentmods.dev/skills/comet-ml/opik-mcp/opik-diagnose"><img src="https://agentmods.dev/badge/skills/comet-ml/opik-mcp/opik-diagnose/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.

agentmods 80×15 button for opik-diagnose

Your own site · 80×15
<a href="https://agentmods.dev/skills/comet-ml/opik-mcp/opik-diagnose"><img src="https://agentmods.dev/badge/skills/comet-ml/opik-mcp/opik-diagnose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 187 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,641 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00187 $0.02641
Opus 5.5 $0.00075 $0.01056
Sonnet 5.5 $0.00037 $0.00528
Haiku 4.5 $0.00019 $0.00264

Measured 26d ago against content hash ec8a2b627f52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

opik-diagnose 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 26d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/opik/skills/opik-diagnose/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Diagnose — Surface the Traces Worth Attention

Definition of done: a ranked shortlist of the online/production traces (and Diagnostics issues) worth attention, each carrying the signal that flagged it and its trace id, scoped to a project and a recent window, and ready to hand to /opik-explain. "Worth attention" means errored, slow, regressed, or low online-eval score — not a dump of every trace, and never offline experiment results. If the project can't be read, stop at the first genuine blocker and return one next step.

Operate: rank by real signal over live data, surface the few things worth a look, hand the top one to /opik-explain — and change no code. This skill is read-only by design.

Inputs

The entry point is /opik-diagnose (the current project), /opik-diagnose <project>, or /opik-diagnose <what to look for> (e.g. "slow traces", "errors today"). Infer the rest; treat these as optional overrides:

  • project (default: inferred from config/repo) · window (default: recent) · signal focus (default: all — errors, latency, regressions, low scores) · shortlist size (default: a handful).

Ask only at a genuine, non-inferable blocker (see Blockers).

Activation — the only in-scope work

1. Resolve scope

Project (from config/repo) + a recent window. Confirm Opik is reachable: if ~/.opik.config exists or OPIK_API_KEY is set, use it. Otherwise → Blocker ("run opik configure, then rerun").

2. Read the project once, for the shape of the week

With the Opik MCP connected, read('project', <name or id>) costs one call and answers three things the rest of this skill would otherwise guess: whether anything is wrong at all (error rate and latency against the previous 7 days — a flat week is worth saying so and stopping), which score names the project actually records (the ones worth filtering on later; guessing a name returns an empty result that reads like good news), and what the project contains.

A rate reported as null means no traces in the window, not a healthy zero. If the window is quiet, widen it with since="30d" before concluding anything.

Read the full file on GitHub · 130 lines

Files

What ships with it

4 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.

Changes

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.

  1. 26d ago Changed · -60 lines ec8a2b627f52
  2. 1mo ago Changed · +1 lines d142c0e7fb12
  3. 1mo ago Changed 2fa004b8ff25
  4. 1mo ago Changed · +12 lines 20346e667399
  5. 1mo ago Changed · +33 lines · +13 tokens per session 2ef8ac6c435c
  6. 1mo ago Changed · +34 lines · +27 tokens per session 495b0c3a06a9
  7. 1mo ago First seen · 110 lines · 147 tokens per session scan A 46a031622753

Subscribe to this mod's changes

opik-diagnose is a skill published in the GitHub repository comet-ml/opik-mcp (225 stars, last pushed 2d ago), licensed Apache-2.0. It adds 187 tokens to every session and 2,641 once invoked, about $0.0007 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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