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/typescript-sdk/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/typescript-sdk)<a href="https://agentmods.dev/skills/comet-ml/opik/typescript-sdk"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/typescript-sdk/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/typescript-sdk"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/typescript-sdk.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 | $0.00020 | $0.00430 |
| Opus 5.5 | $0.00008 | $0.00172 |
| Sonnet 5.5 | $0.00004 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
typescript-sdk 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.
What it actually says
TypeScript SDK
Architecture
- Layered, non-blocking by default
- Data buffered and flushed async to backend
- Node >= 18, ESM + CJS builds
Layer Flow
Public API → OpikClient → Domain (Trace/Span) → BatchQueues → REST Client → Backend
Critical Gotchas
- When changing dependencies or minimum versions, update and verify version references in
README.mdand integration README files in the same PR.
Flush Before Exit
// ✅ REQUIRED - especially in CLI/tests
await client.flush();
// or globally:
await flushAll();
Domain Objects Don't Do HTTP
// ✅ GOOD - domain objects enqueue, not HTTP
trace.update({ metadata: { key: 'value' } }); // Enqueues update
trace.end(); // Enqueues update
// ❌ BAD - don't call REST directly from domain
Never Leak rest_api
// ✅ GOOD - export from public API
export { Opik, track, flushAll } from 'opik';
// ❌ BAD - don't expose generated clients
import { TracesApi } from 'opik/rest_api'; // Internal!
Batching Semantics
- Updates wait for pending creates
- Deletes wait for creates and updates
flush()flushes all queues in order- Debounce window configurable via
OpikConfig
Error Handling
- HTTP failures:
OpikApiError,OpikApiTimeoutError - 404s translate to domain errors:
DatasetNotFoundError,ExperimentNotFoundError - Never swallow errors, include context in logs
Integration Guidelines
- Integrations wrap public API only
- Keep adapters thin, non-blocking
- Provide
flush()escape hatch if needed
Reference Files
- testing.md - Vitest patterns, mocking, flush timing
What ships with it
1 file 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 · 65 lines · 20 tokens per session scan A a71faae48752
typescript-sdk is a skill published in the GitHub repository comet-ml/opik (22,998 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 430 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.
Other skills, from other repositories
typescript-eval
Test TypeScript code snippets before persisting as skills.
langgraph-docs
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
stripe-projects
Use after E2B sandbox/API access has been provisioned through Stripe Projects and the user needs to use the resulting E2B API key with the E2B CLI, JavaScript SDK, Python SDK, or Code Interpreter SDK.
setup-ts-deep-modules
A TypeScript repository setup that keeps each package's internal code private behind root-level entry files. A package is a reusable unit of code, and an entry point is the file other code is meant to import.
ax-cpp-ai
Use when writing C++ code with axllm for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.
ax-cpp-gen
Use when writing C++ code with axllm for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.