A command-line guide for investigating AI application behavior in Phoenix. Phoenix is a tool that records traces, or step-by-step records of what an AI application did.

Use it to fetch and inspect traces and spans, analyze failures, review datasets and experiments, query annotation settings, or use Phoenix's GraphQL API.

It brings trace data, errors, datasets, experiments, and review tools into one investigation workflow when an AI agent fails or behaves unexpectedly.

phoenix-cli — Skill for Cursor by Arize-ai/phoenix

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 Arize-ai/phoenix --skill phoenix-cli

Clone the repo

git clone --depth 1 https://github.com/Arize-ai/phoenix

Made for: Cursor.

Or install arize-phoenix, the plugin that ships this one along with the rest of its 46 skills, 13 agents, 1 hook.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/arize-ai/phoenix/phoenix-cli/github.svg)](https://agentmods.dev/skills/arize-ai/phoenix/phoenix-cli)

Your own site

<a href="https://agentmods.dev/skills/arize-ai/phoenix/phoenix-cli"><img src="https://agentmods.dev/badge/skills/arize-ai/phoenix/phoenix-cli/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/arize-ai/phoenix/phoenix-cli"><img src="https://agentmods.dev/badge/skills/arize-ai/phoenix/phoenix-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,034 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 4 Nov 2026
Snyk warn 4 Nov 2026
NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to high

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 →

high Privilege Escalation · line 89
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
medium MCP Rug Pull · line 17
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]

How audits are shown

Origin unknown No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00093	$0.07034
Opus 5.5	$0.00037	$0.02814
Sonnet 5.5	$0.00019	$0.01407
Haiku 4.5	$0.00009	$0.00703

Measured yesterday against content hash 814e6bbc1876, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

phoenix-cli 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 yesterday.

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.

curl -s -H "Authorization: Bearer $PHOENIX_API_KEY" \

plugins/codex/arize-phoenix/skills/phoenix-cli/SKILL.md · 556 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

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.

references/filter-expressions.md 15 KB

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.

yesterday Changed · +9 lines 814e6bbc1876
2d ago Changed · +1 lines b5ba7a6fe08a
7d ago Changed · +1 lines 666662e30dba
22d ago Changed · +36 tokens per session 88f79eb751c6
1mo ago Changed 6cf6e41dcd6f
1mo ago Changed · +7 lines 8495b77069aa
1mo ago Changed · -70 lines ae6782ee828f
1mo ago Changed · -23 lines · -56 tokens per session bf2af14b804d
2mo ago First seen · 631 lines · 113 tokens per session scan A aed9e87b7f2b

Subscribe to this mod's changes

phoenix-cli is a skill published in the GitHub repository Arize-ai/phoenix (12,187 stars, last pushed today), with no licence file. It adds 93 tokens to every session and 7,034 once invoked, about $0.0004 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.

Analytics and metrics Debugging ai-monitoring ai-observability aiengineering datasets llm-eval llmops

phoenix-cli next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
phoenix-cliArize-ai/phoenix	Skill	12k	today	none	A	93	Cursor
trulens-instrumentationtruera/trulens	Skill	3.6k	today	MIT	A	25	Claude Code, Codex
trulens-evaluation-setuptruera/trulens	Skill	3.6k	today	MIT	A	17	Claude Code, Codex
trulens-diagnosistruera/trulens	Skill	3.6k	today	MIT	A	17	Claude Code, Codex
trulens-notebook-executiontruera/trulens	Skill	3.6k	today	MIT	A	21	Claude Code, Codex
trulens-evaluation-workflowtruera/trulens	Skill	3.6k	today	MIT	A	18	Claude Code, Codex
trulens-blocking-guardrailstruera/trulens	Skill	3.6k	today	MIT	A	19	Claude Code, Codex