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-backend/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-backend)<a href="https://agentmods.dev/skills/comet-ml/opik/opik-backend"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/opik-backend/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-backend"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/opik-backend.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 | $0.02323 |
| Opus 5.5 | $0.00012 | $0.00929 |
| Sonnet 5.5 | $0.00006 | $0.00465 |
| Haiku 4.5 | $0.00003 | $0.00232 |
Grade A, and why
opik-backend 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 1mo 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opik Backend
Architecture
- Layered: Resource → Service → DAO (never skip layers)
- DI: Guice modules, constructor injection with
@Inject - Databases: MySQL (metadata, transactional) + ClickHouse (analytics, append-only)
Naming Conventions
Plural Names (Resources, Tests, URLs, DB Tables)
- Resource classes:
TracesResource,SpansResource,DatasetsResource(notTraceResource) - Resource test classes:
TracesResourceTest,SpansResourceTest,DatasetsResourceTest(notTraceResourceTest) - URL paths:
/v1/private/traces,/v1/private/spans(not/v1/private/trace) - DB table names:
traces,spans,feedback_scores(nottrace,span,feedback_score)
Singular Names (DAO, Service)
- DAO classes:
TraceDAO,SpanDAO,DatasetDAO(notTracesDAO) - Service classes:
TraceService,SpanService,DatasetService(notTracesService)
// ✅ GOOD
@Path("/v1/private/traces")
public class TracesResource { }
// ✅ GOOD - DAO and Service use singular
public class TraceDAO { }
public class TraceService { }
// ✅ GOOD - test classes match plural resource name
public class TracesResourceTest { }
// ❌ BAD - singular test class
public class TraceResourceTest { }
// ❌ BAD - singular resource/URL
@Path("/v1/private/trace")
public class TraceResource { }
// ❌ BAD - plural DAO/Service
public class TracesDAO { }
public class TracesService { }
Lombok Conventions
Records and DTOs
- Always annotate records/DTOs with
@Builder(toBuilder = true) - Use builders (not constructors) when instantiating records
- For internal records (built programmatically, never validated by Bean Validation), use Lombok
@NonNullon required fields — it generates a runtime null check at construction - For request-body DTOs validated via
@Validcascade (Jakarta validators like@NotNull/@NotBlank/@Size), use Jakarta annotations only — do not stack@NonNullon top. Bean Validation already enforces the contract at the API boundary; doubling up is redundant noise
What ships with it
5 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.
- 1mo ago Changed · +18 lines 6d94e478ecfb
- 2mo ago First seen · 269 lines · 31 tokens per session scan A 1b726f094317
opik-backend 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 2,323 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
java-coding-standards
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
rust-gateway
Add or change an HTTP route, extractor, response envelope, stream or router mount in the litellm-rust gateway crates (crates/gateway and crates/gateway-). Use when adding an endpoint, parsing a request body, choosing an error envelope for an API surface, relaying SSE, or writing a router-level test.
enterprise-java
Enterprise Java development skill covering Spring ecosystem, microservices, design patterns, performance optimization, and Java best practices. Use this skill when building enterprise Java applications, working with Spring Boot, implementing microservices, or need guidance on Java architecture and performance tuning.
springboot-patterns
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
java-coding-standards
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
java-architect
Use when building, configuring, or debugging enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming. Invoke to implement WebFlux endpoints, optimize JPA queries and database performance, configure Spring Security with OAuth2/JWT, or resolve authentication issues and async processing…