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-frontend/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-frontend)<a href="https://agentmods.dev/skills/comet-ml/opik/opik-frontend"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/opik-frontend/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-frontend"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/opik-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00031 | $0.01076 |
| Opus 5.5 | $0.00012 | $0.00430 |
| Sonnet 5.5 | $0.00006 | $0.00215 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
opik-frontend 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opik Frontend
Architecture Decisions
- Routing: TanStack Router (file-based)
- Data fetching: TanStack Query (never raw fetch/useEffect)
- State: Zustand for global, React state for local
- Components: shadcn/ui + Radix UI base
- Forms: React Hook Form + Zod validation
Critical Gotchas
Never useEffect for Data Fetching
// ❌ BAD
useEffect(() => {
fetch('/api/data').then(setData);
}, []);
// ✅ GOOD
const { data } = useQuery({
queryKey: ['data'],
queryFn: fetchData,
});
Selective Memoization
// ✅ USE useMemo for: complex computations, large data transforms
const filtered = useMemo(() =>
data.filter(x => x.status === 'active').map(transform),
[data]
);
// ✅ USE useCallback for: functions passed to children
const handleClick = useCallback(() => doSomething(id), [id]);
// ❌ DON'T memoize: simple values, primitives, local functions
const name = data?.name ?? ''; // No useMemo needed
Zustand Selectors
// ✅ GOOD - specific selector
const selectedEntity = useEntityStore(state => state.selectedEntity);
// ❌ BAD - selecting entire store causes re-renders
const { selectedEntity, filters } = useEntityStore();
Browser Translation Safety (Google Translate)
Many users auto-translate the page; the translator wraps text nodes in <font> elements, so React throws NotFoundError: removeChild when it reconciles a bare dynamic text node it re-parented. Wrap dynamic/conditional strings in their own element instead of rendering bare text.
// ❌ bare dynamic text → crash under translation
<button>{icon}{label}</button>
// ✅ wrap it → React swaps a stable element, stays translatable
<button>{icon}<span>{label}</span></button>
For timer-driven text (typewriter/counter), also avoid per-tick setState — write into a ref'd node's textContent (React never reconciles it), or mark a decorative node translate="no". Ref: facebook/react#11538 (OPIK-7428, OPIK-7435).
What ships with it
7 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 · 130 lines · 31 tokens per session scan A 197485e86e35
opik-frontend is a skill published in the GitHub repository comet-ml/opik (22,998 stars, last pushed today), licensed Apache-2.0. It adds 31 tokens to every session and 1,076 once invoked, about $0.0001 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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