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/explore-feature/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/explore-feature)<a href="https://agentmods.dev/skills/comet-ml/opik/explore-feature"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/explore-feature/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/explore-feature"><img src="https://agentmods.dev/badge/skills/comet-ml/opik/explore-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 152 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium MCP Rug Pull · line 169 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 199 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 200 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00044 | $0.03519 |
| Opus 5.5 | $0.00018 | $0.01408 |
| Sonnet 5.5 | $0.00009 | $0.00704 |
| Haiku 4.5 | $0.00004 | $0.00352 |
Grade A, and why
explore-feature scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
build, not just that a FE answers**: for a FE-only PR merged to main, `curl How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore Feature
Turns "here's my change, cover it" into one committed, locally-green Playwright spec.
It is a thin orchestrator: it owns two phases — resolve what to cover, and confirm the result —
and delegates the actual authoring (analyze FE, discover live UI, write POM/spec, run green) to
the writing-e2e-tests skill.
Announce at start: "I'm using the explore-feature skill to add an e2e test for X."
What this does — and doesn't
- Does: resolve the change surface → pick the one flow worth covering → hand it to
writing-e2e-tests→ confirm the spec is tagged, in the taxonomy, and green. - Doesn't: deep bug-hunting or edge-case coverage (that's a separate QA activity); CI wiring.
- Cheap per-PR happy-path only. One flow, green locally in minutes.
The output is an ordinary spec: tests/<area>/<name>.spec.ts, a tier tag, an @area:, a @cap:
per test — exactly what every other spec in the estate looks like, and picked up by the same
suites. There is no separate lane and no version stamp.
The loop
digraph explore_feature {
rankdir=TB;
"1. Resolve scope (GATE)" [shape=box];
"2. Local-run gate (GATE)" [shape=box];
"3. Delegate authoring to writing-e2e-tests" [shape=box];
"4. Confirm tagged + green" [shape=box];
"1. Resolve scope (GATE)" -> "2. Local-run gate (GATE)";
"2. Local-run gate (GATE)" -> "3. Delegate authoring to writing-e2e-tests";
"3. Delegate authoring to writing-e2e-tests" -> "4. Confirm tagged + green";
}
Phase 1 — Resolve scope (gate)
Normalize whatever the dev pointed at into one ScopeSpec before authoring anything.
Input modes (auto-detect from the argument; ask if ambiguous):
| Mode | Trigger | Resolve |
|---|---|---|
| Local diff | no arg / dirty tree / "my branch" / "my changes" | see Local-diff mode below — this is the default when no PR is named, incl. "I haven't opened a PR yet" |
| A PR | #<n> or a PR URL |
PR diff + linked ticket via gh pr view <n> --json … (or the GitHub MCP) |
| Multi-PR / multi-ticket | a list | union of the diffs |
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 · 210 lines · 44 tokens per session scan A c614d79aaa01
explore-feature is a skill published in the GitHub repository comet-ml/opik (22,998 stars, last pushed today), licensed Apache-2.0. It adds 44 tokens to every session and 3,519 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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