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.
npx skills add comet-ml/opik-mcp --skill opik-diagnosegit clone --depth 1 https://github.com/comet-ml/opik-mcpWrote 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-mcp/opik-diagnose)<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.
<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>- 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 | $0.00187 | $0.03907 |
| Opus 5 | $0.00093 | $0.01954 |
| Sonnet 5 | $0.00037 | $0.00781 |
| Haiku 4.5 | $0.00019 | $0.00391 |
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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- opik-diagnose — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 177 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. Start from Diagnostics issues
Opik's Diagnostics already groups a project's recurring failures into ranked issues, each with a severity, occurrence counts, a cause, a suggested fix and example traces. Read that list first — it is the answer to "what is broken" the UI already computed, so do not rebuild it from raw traces.
With the Opik MCP connected, the agent_insights_issue entity is the primary path:
list('agent_insights_issue', project_name='<project>') # open issues, ranked as the Diagnostics page ranks them
read('agent_insights_issue', '<issue id>', project_name='<project>')
# → {issue: {name, cause, suggested_fix, severity, status, …}, example_trace_ids: [...], details: [...],
# url: '<the issue's Diagnostics page>', trace_url_template: '<…/logs?trace={trace_id}>'}
What ships with it
8 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.
- today Changed · +33 lines · +13 tokens per session 2ef8ac6c435c
- 2d ago Changed · +34 lines · +27 tokens per session 495b0c3a06a9
- 11d ago First seen · 110 lines · 147 tokens per session scan A 46a031622753
opik-diagnose is a skill published in the GitHub repository comet-ml/opik-mcp (217 stars, last pushed today), licensed Apache-2.0. It adds 187 tokens to every session and 3,907 once invoked, about $0.0009 per session on Opus 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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