opik-verify

opik-verify is a skill for Claude Code from comet-ml/opik-claude-code-plugin. It costs 145 tokens per session (3,963 once invoked), scanned A, a copy of opik-verify, Apache-2.0.

A release-checking workflow for Opik experiments, where Opik is a tool for evaluating AI systems. It compares a candidate with a baseline and returns a documented ship, hold, review, or insufficient-evidence decision.

In plain words
What is it for?
Use it after comparing two test runs to apply a release policy, show each threshold and result, identify failed cases, and state the next step when the runs cannot be compared.
Why use it?
It replaces subjective approval with explicit checks for regressions, safety cases, consistency, speed, cost, flaky results, evidence size, and judge validity.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions Codex.

Part of the opik plugin — 10 skills, 2 commands, 1 agent, 8 hooks shipped together

Good fit Use it after comparing two test runs to apply a release policy, show each threshold and result, identify failed cases, and state the next step when the runs cannot be compared.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/comet-ml/opik-claude-code-plugin/opik-verify
Install

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.

Any agent
npx skills add comet-ml/opik-claude-code-plugin --skill opik-verify
Clone the repo
git clone --depth 1 https://github.com/comet-ml/opik-claude-code-plugin

Made for: Claude Code.

Or install opik, the plugin that ships this one along with the rest of its 10 skills, 2 commands, 1 agent, 8 hooks.

Wrote 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.

agentmods badge for opik-verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/comet-ml/opik-claude-code-plugin/opik-verify/github.svg)](https://agentmods.dev/skills/comet-ml/opik-claude-code-plugin/opik-verify)
Your own site
<a href="https://agentmods.dev/skills/comet-ml/opik-claude-code-plugin/opik-verify"><img src="https://agentmods.dev/badge/skills/comet-ml/opik-claude-code-plugin/opik-verify/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.

agentmods 80×15 button for opik-verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/comet-ml/opik-claude-code-plugin/opik-verify"><img src="https://agentmods.dev/badge/skills/comet-ml/opik-claude-code-plugin/opik-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,963 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00145 $0.03963
Opus 5.5 $0.00058 $0.01585
Sonnet 5 $0.00029 $0.00793
Haiku 4.5 $0.00015 $0.00396

Measured today against content hash 002d16c85bee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

opik-verify 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.

Origin

This is a copy

100% identical to opik-verify — 51 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/opik-verify/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify — Ship or Hold, Against a Policy You Can Read

Definition of done: one verdict — ship, hold, needs_review, or insufficient_evidence — computed from a declared policy over the baseline-vs-candidate numbers, with every criterion listed with its threshold, the observed value, and pass/fail, the cases behind any failure named, and the compare-view link. The policy is either the repo's opik-release-policy.yaml or the documented defaults, and the report says which. If the two runs can't be read or aren't comparable, stop at the first genuine blocker and return exactly one next step. "Looks good to me" is not a verdict; a verdict without its criteria is not one either.

Operate: apply the policy mechanically, show your arithmetic, refuse to ship on a judge nobody validated, and change no application code. The only file this skill may write is the policy file, and only when the user says so. It never deploys.

Inputs

The entry point is /opik-verify right after /opik-compare (its baseline and candidate), /opik-verify <suite> (the two most recent runs on the suite), or /opik-verify <baseline-id> <candidate-id>. Infer the rest; treat these as optional overrides:

  • policy (default: opik-release-policy.yaml at the repo root or under .opik/, else the defaults below) · which experiments (default: as above) · --record (default: off — write the verdict into the candidate experiment's config).

Ask only at a genuine, non-inferable blocker (see Blockers).

The policy

Every key is optional; missing keys take these defaults. Say in the report which source applied.

# opik-release-policy.yaml — repo root or .opik/. Versioned with the code so the gate is reproducible.
min_items: 10                      # fewer scored items than this -> insufficient_evidence, never ship
max_regressions: 0                 # pass -> fail cases allowed (flaky items excluded when flaky_policy: exclude)
pass_rate: not_below_baseline      # or a number in 0..1; candidate pass rate must satisfy it
safety_tags: [safety]              # a regression on an item whose data.tags contains one of these -> hold, always
subgroup_key: null                 # a data key (e.g. "category"); no subgroup's pass rate may fall
latency_p90_max_increase: 0.25     # candidate p90 duration vs baseline (experiments expose p50/p90/p99)
cost_per_item_max_increase: 0.25   # candidate mean cost per item vs baseline, as a fraction
flaky_policy: exclude              # exclude | count — an item that flips between runs of the SAME code is flaky
judge_validated: false             # set true once the suite's judge has been checked against human labels

Read the full file on GitHub · 166 lines

Changes

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.

  1. today First seen · 166 lines · 145 tokens per session scan A 002d16c85bee

Subscribe to this mod's changes

opik-verify is a skill published in the GitHub repository comet-ml/opik-claude-code-plugin (23 stars, last pushed today), licensed Apache-2.0. It adds 145 tokens to every session and 3,963 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to opik-verify, differing in 51 lines, and is treated as a copy.

Related

Other skills, from other repositories

claude-bridge

Use when orchestrating multiple Claude Code chats, reading other chats' history, sending messages between chats, or searching across chat sessions. Triggers on phrases like "peer chat", "sister chat", "other chat", "cross-chat", "what is the other agent doing", "find in chats", "manager agent", "worker agent"…

michalekz/claude-bridge · 87 tokens

huggingface_hub

Discover open machine learning models on Hugging Face Hub via the public model search API.

0xmariowu/Autosearch · 23 tokens

claude-bridge-role-manager

Playbook for a Claude Code agent in the role of orchestrator of 2-N worker peers over the claude-bridge MCP. Use when you have a team of peers and want to efficiently dispatch tasks, gate outputs, resolve conflicts, protect invariants, route memory, and hold the interface to the human owner. Triggers — "I'm the…

michalekz/claude-bridge · 117 tokens

claude-bridge-role-memory-keeper

Playbook for a Claude Code agent in the dedicated memory keeper role — single-writer for shared agent memory across a team of 3+ peers. Use when you are designated as the keeper (= other peers send you write candidates, you write them and watch for drift). Memory hygiene + reconciliation against the canon + drift…

michalekz/claude-bridge · 102 tokens

claude-bridge-setup

Guide the user through activating claude-bridge live-data hooks in /.claude/settings.json. Use when the user asks how to install the plugin's statusLine wrapper or PostToolUse refresh-limits hook, or when peercontextstatus / ratelimitstatus returns hasLiveData: false with a setupPointer. Triggers — "setup live data"…

michalekz/claude-bridge · 0 tokens

AgentDB Learning Plugins

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

spencermarx/open-code-review · 56 tokens