cx-ai-center

Q: How do I install cx-ai-center?

Run npx skills add https://github.com/coralogix/cx-cli --skill cx-ai-center in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/cx-ai-center/ (personal) or .claude/skills/cx-ai-center/ (project).

by coralogixAI & Agents

Use this skill for any question or action about the user's AI/GenAI applications or agents — their behavior, prompts/responses, quality, hallucinations, guardrails, security, cost/tokens, errors, evaluations/policies, model pricing, or configuration — including comparing or tracking agents over time. It covers both analyzing AI telemetry (GenAI spans) and managing AI Center config via the cx ai-center commands.

Installs: 2.3K
Last 24h: +75
Trending rank: #2410
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/coralogix/cx-cli --skill cx-ai-center

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads cx-ai-center automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

AI Center Skill

This is the tool for anything about AI/GenAI applications — both questions about their behavior (prompts/responses, quality, hallucinations, guardrails, security, cost/tokens, errors, latency — everything AI apps expose through their GenAI spans/tags) and actions to manage them (applications, evaluations/policies, policy↔app links, model pricing). If a request touches an AI application or its GenAI telemetry, use this skill.

Coralogix AI Center observes, evaluates, and guards GenAI/LLM applications. This skill answers questions about AI apps from two sources:

Configuration (this skill's cx ai-center commands): the AI application inventory, configured evaluations/policies, coverage, custom evaluations, and model pricing — none of which live in span telemetry.
Telemetry (GenAI spans): what users asked, how the model answered, cost, tokens, latency, errors, tool calls, and eval/guardrail verdicts — queried with cx spans '<DataPrime>'. See references/ai-center-queries.md for the full, runnable query library, span schema, and playbooks.

Match the source to the question: "which apps lack guardrails" → config (cx ai-center applications list); "what are users asking my chatbot" → telemetry (cx spans '…', reading the conversation from the GenAI spans). Some questions need both — e.g. "is my chatbot's PII policy actually catching PII?" joins config (is the policy enabled) with telemetry (the PII verdicts + the messages).

Destructive Operation Safety

All write operations (create, update, delete, add, remove, set) require interactive confirmation. ai-center is a risky command, so writes are also gated by allow_risky_commands in ~/.cx/config.toml. To skip the prompt in scripts, pass --yes.

IMPORTANT: NEVER pass --yes without explicit user approval. Before executing any write:

Describe the exact operation to the user (what will be created/modified/deleted/linked).
Wait for the user to confirm.
Only then execute with --yes.

Read operations (list, get, coverage, list-for-application, model-pricing get) do not require confirmation and can be run freely.

Read-Only Mode

Use --read-only (or CX_READ_ONLY=1) to block every write at the CLI level — safe for exploration.

Agent Mode

When running inside an AI agent (Claude Code, Cursor, Codex, …), cx detects it and — instead of showing a confirmation prompt that would hang forever (no human is there to type y/n) — stops immediately with an error telling you to get the user's approval, then re-run with --yes.

No delete commands (by design)

The CLI intentionally exposes no delete for custom-evaluation policies, AI applications, or model pricing — even though the AI v3 API has those delete endpoints, cx ai-center does not surface them.

Custom-evaluation policy: can't be deleted; to take it off an app, detach with custom-evaluations remove (the policy object survives and can be re-attached).
Model pricing: no delete command. It's team-wide (not per-app), so to change or clear it, run model-pricing set with a new map (an empty map {} clears all overrides) — set replaces the whole set.

Golden rule

For content questions (quality, hallucination, sentiment, topics) read the actual conversation and cite the traceID — don't rely on verdict tags alone. The transcript lives in one of two conventions (gen_ai.input.messages/output.messages, or the older indexed gen_ai.prompt.<n>/completion.<n> tags); read it with the Reading conversations (content questions) queries in the library, which handle both and exclude the system prompt and tool traffic. Full guidance: references/ai-center-queries.md.

CLI Commands

Show names to the user; use UUIDs only internally. When presenting results, refer to apps and evaluations by their human names (application/subsystem, evaluation name), not raw UUIDs. The UUID is only needed to call a by-id or write command — resolve it yourself from the matching list command (never guess or make the user paste a UUID).

Applications (inventory + guarded status)

Command	Purpose
`cx ai-center applications list`	List AI apps incl. `guardrailsIntegrated` (guarded) status
`cx ai-center applications list --evaluation-type <TYPE>`	Filter to apps using an eval type (repeatable)
`cx ai-center applications list --page-size <N> --page-offset <N>`	Paginate
`cx ai-center applications get <application-id>`	One application by UUID

Evaluations (configured policies on apps)

Command	Purpose
`cx ai-center evaluations list`	All configured evaluations
`cx ai-center evaluations list --application <app> --subsystem <sub>`	Scope to one app (the pair)
`cx ai-center evaluations list --evaluation-type <TYPE>`	Filter by type — `<TYPE>` is the API enum (e.g. `PII`, `TOXICITY`, `PROMPT_INJECTION`; the keys from `coverage`), not the lowercase form
`cx ai-center evaluations get <evaluation-id>`	One evaluation by UUID
`cx ai-center evaluations create --from-file eval.json`	Create/enable an evaluation (write)
`cx ai-center evaluations update <evaluation-id> --from-file patch.json`	Partial update (write)
`cx ai-center evaluations delete <evaluation-id>`	Remove an evaluation from its app (write)

Custom evaluations (policies) & application links

Command	Purpose
`cx ai-center custom-evaluations list`	All custom evaluation policies
`cx ai-center custom-evaluations list-for-application <application-id>`	Policies linked to one app
`cx ai-center custom-evaluations create --from-file policy.json`	Create a custom policy (write)
`cx ai-center custom-evaluations update <id> --from-file patch.json`	Partial update (write)
`cx ai-center custom-evaluations add <evaluation-id> <application-id>`	Attach a policy to an app (write)
`cx ai-center custom-evaluations remove <evaluation-id> <application-id>`	Detach (reversible) (write)

By-id is prebuilt-only. evaluations get <id> fetches a prebuilt/configured evaluation. Custom policies have no get-by-id — find one via custom-evaluations list / list-for-application and match by id/name.

Coverage & model pricing

Command	Purpose
`cx ai-center coverage`	Map of each evaluation type → number of apps using it (coverage / gap analysis)
`cx ai-center model-pricing get`	Team's custom per-model pricing overrides
`cx ai-center model-pricing set --from-file prices.json`	Set team pricing (team-wide, new data only) (write)

The --from-file bodies for evaluations and custom-evaluations match the AI v3 API shape verbatim; use - to read JSON from stdin. For evaluations create, target is required and must be uppercase (PROMPT or RESPONSE); for custom-evaluations create, name, instructions, and policyType are required. Exception: model-pricing set takes just the raw model→price map — cx wraps it as {"prices": …} for you, so do not include the outer prices envelope. Each model maps to a price object; all four fields are optional doubles (USD per one million tokens), omit the ones that don't apply:

{
  "gpt-4o": {
    "inputPricePerMillionTokens": 2.5,
    "outputPricePerMillionTokens": 10,
    "cacheReadPricePerMillionTokens": 1.25,
    "cacheWritePricePerMillionTokens": 3.75
  }
}

An empty map {} clears all overrides (set replaces the whole set — it's team-wide, new data only). model-pricing get returns the wrapper { "pricing": { "id", "companyId", "prices": { … } } } — the per-model overrides live under prices (empty when none are set).

Common workflows

Inventory & guardrail gaps

# Which apps are NOT guarded?
cx ai-center applications list -o json | jq '[.[] | select(.guardrailsIntegrated==false)]'

Enable a policy on an app (write — confirm first!)

# 1. Describe to the user; 2. get approval; 3. then:
cx ai-center evaluations create --from-file eval.json --yes
# eval.json: { "application": "...", "subsystem": "...", "target": "PROMPT", "config": { "<type>": {...} }, "isEnabled": true }
# `target` is REQUIRED and must be UPPERCASE — "PROMPT" or "RESPONSE" (the API rejects lowercase / a missing target).

Read the actual conversations (telemetry, not config)

Use cx spans with the query library in references/ai-center-queries.md — reading messages, cost, latency, errors, tool calls, and per-user analysis.

Key principles

Config vs. telemetry: inventory / evaluations / policies / coverage / pricing → cx ai-center; content / cost / latency / errors / verdicts → GenAI spans via cx spans. Don't answer one from the other.
Confirm before writes. Describe the operation, get approval, then run with --yes.

Related Skills

cx-telemetry-querying — general logs/spans/metrics/DataPrime querying (the engine behind the cx spans queries used here).
cx-olly — the conversational AI assistant (cx olly ask).

FAQ

What does the cx-ai-center skill do?

How do I install cx-ai-center?

Run npx skills add https://github.com/coralogix/cx-cli --skill cx-ai-center in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/cx-ai-center/ (personal) or .claude/skills/cx-ai-center/ (project).

Which AI agents can use cx-ai-center?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is cx-ai-center safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains cx-ai-center?

It is published by coralogix in coralogix/cx-cli. It has 2,313 recorded installs.

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cx-ai-center

Install

Install

Describe the task

Review the result

SKILL.md

AI Center Skill

Destructive Operation Safety

Read-Only Mode

Agent Mode

No delete commands (by design)

Golden rule

CLI Commands

Applications (inventory + guarded status)

Evaluations (configured policies on apps)

Custom evaluations (policies) & application links

Coverage & model pricing

Common workflows

Inventory & guardrail gaps

Enable a policy on an app (write — confirm first!)

Read the actual conversations (telemetry, not config)

Key principles

Related Skills

FAQ

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