@Arize-ai
Creator · Arize-ai
Last updated · Sep 2, 2026
Phoenix
STRONG · 80Community indexed
AI Observability & Evaluation
Creator · Arize-ai
Last updated · Sep 2, 2026
AI Observability & Evaluation
Creator · Arize-ai
Last updated · Sep 2, 2026
AI Observability & Evaluation
Creator · Arize-ai
Last updated · Sep 2, 2026
AI Observability & Evaluation
Creator · Arize-ai
Last updated · Sep 2, 2026
AI Observability & Evaluation
Review then install
Install targets
Codex install prompt
Install the "Phoenix" agent skill from https://github.com/Arize-ai/phoenix. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI Observability & Evaluation After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"arize-ai-phoenix","task":"Install Phoenix","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + LangChain + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Arize-ai/phoenix
Maintenance
fresh
3d since push
Risk
Needs review
License is unclear
GitHub quality
11K
100/100 Quality · 88/100 Trust
Coverage tags
Review notes
License is unclear · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
3d since push
License
Unknown
Install
npx skills add Arize-ai/phoenix
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/arize-ai-phoenix/install
Agent should check
Copy prompt
Task: Use Phoenix in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/arize-ai-phoenix/install
Install command: npx skills add Arize-ai/phoenix
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/arize-ai-phoenix/install
LLM text format
/api/skills/arize-ai-phoenix/install?format=text
Find alternatives
/api/skills/search?q=Phoenix&limit=3
Agent prompt
Use Phoenix for this task. Review https://www.openagentskill.com/api/skills/arize-ai-phoenix/install, then install with: npx skills add Arize-ai/phoenixRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/arize-ai-phoenix
LLM text
/api/registry/manifest/arize-ai-phoenix?format=text
Install alias
/api/registry/install/arize-ai-phoenix
Recommend
/api/registry/recommend?task=Use%20Phoenix%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Python, LLMOps, Claude Code, LangChain
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
AI Observability & Evaluation
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & tools
Decision snapshot
11,284 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Phoenix, ready for a manual X post.
For a web workflow, this is a skill worth shortlisting before another blank prompt. Phoenix: AI Observability & Evaluation 11.3K stars https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x
Listing + install path for Phoenix: https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x Install: npx skills add Arize-ai/phoenix
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Arize-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix/audit)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Arize-ai✓
@arize-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
97.4K StarsGraphify
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
92.0K StarsCodegraph
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
54.2K StarsReverse Skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
25.6K StarsReview then install
Install targets
Codex install prompt
Install the "Phoenix" agent skill from https://github.com/Arize-ai/phoenix. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI Observability & Evaluation After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"arize-ai-phoenix","task":"Install Phoenix","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + LangChain + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Arize-ai/phoenix
Maintenance
fresh
3d since push
Risk
Needs review
License is unclear
GitHub quality
11K
100/100 Quality · 88/100 Trust
Coverage tags
Review notes
License is unclear · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
3d since push
License
Unknown
Install
npx skills add Arize-ai/phoenix
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/arize-ai-phoenix/install
Agent should check
Copy prompt
Task: Use Phoenix in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/arize-ai-phoenix/install
Install command: npx skills add Arize-ai/phoenix
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/arize-ai-phoenix/install
LLM text format
/api/skills/arize-ai-phoenix/install?format=text
Find alternatives
/api/skills/search?q=Phoenix&limit=3
Agent prompt
Use Phoenix for this task. Review https://www.openagentskill.com/api/skills/arize-ai-phoenix/install, then install with: npx skills add Arize-ai/phoenixRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/arize-ai-phoenix
LLM text
/api/registry/manifest/arize-ai-phoenix?format=text
Install alias
/api/registry/install/arize-ai-phoenix
Recommend
/api/registry/recommend?task=Use%20Phoenix%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Python, LLMOps, Claude Code, LangChain
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
AI Observability & Evaluation
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & tools
Decision snapshot
11,284 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Phoenix, ready for a manual X post.
For a web workflow, this is a skill worth shortlisting before another blank prompt. Phoenix: AI Observability & Evaluation 11.3K stars https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x
Listing + install path for Phoenix: https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x Install: npx skills add Arize-ai/phoenix
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Arize-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix/audit)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Arize-ai✓
@arize-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
97.4K StarsGraphify
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
92.0K StarsCodegraph
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
54.2K StarsReverse Skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
25.6K StarsReview then install
Install targets
Codex install prompt
Install the "Phoenix" agent skill from https://github.com/Arize-ai/phoenix. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI Observability & Evaluation After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"arize-ai-phoenix","task":"Install Phoenix","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + LangChain + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Arize-ai/phoenix
Maintenance
fresh
3d since push
Risk
Needs review
License is unclear
GitHub quality
11K
100/100 Quality · 88/100 Trust
Coverage tags
Review notes
License is unclear · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
3d since push
License
Unknown
Install
npx skills add Arize-ai/phoenix
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/arize-ai-phoenix/install
Agent should check
Copy prompt
Task: Use Phoenix in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/arize-ai-phoenix/install
Install command: npx skills add Arize-ai/phoenix
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/arize-ai-phoenix/install
LLM text format
/api/skills/arize-ai-phoenix/install?format=text
Find alternatives
/api/skills/search?q=Phoenix&limit=3
Agent prompt
Use Phoenix for this task. Review https://www.openagentskill.com/api/skills/arize-ai-phoenix/install, then install with: npx skills add Arize-ai/phoenixRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/arize-ai-phoenix
LLM text
/api/registry/manifest/arize-ai-phoenix?format=text
Install alias
/api/registry/install/arize-ai-phoenix
Recommend
/api/registry/recommend?task=Use%20Phoenix%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Python, LLMOps, Claude Code, LangChain
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
AI Observability & Evaluation
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & tools
Decision snapshot
11,284 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Phoenix, ready for a manual X post.
For a web workflow, this is a skill worth shortlisting before another blank prompt. Phoenix: AI Observability & Evaluation 11.3K stars https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x
Listing + install path for Phoenix: https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x Install: npx skills add Arize-ai/phoenix
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Arize-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix/audit)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Arize-ai✓
@arize-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
97.4K StarsGraphify
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
92.0K StarsCodegraph
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
54.2K StarsReverse Skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
25.6K StarsReview then install
Install targets
Codex install prompt
Install the "Phoenix" agent skill from https://github.com/Arize-ai/phoenix. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI Observability & Evaluation After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"arize-ai-phoenix","task":"Install Phoenix","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + LangChain + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Arize-ai/phoenix
Maintenance
fresh
3d since push
Risk
Needs review
License is unclear
GitHub quality
11K
100/100 Quality · 88/100 Trust
Coverage tags
Review notes
License is unclear · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
3d since push
License
Unknown
Install
npx skills add Arize-ai/phoenix
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/arize-ai-phoenix/install
Agent should check
Copy prompt
Task: Use Phoenix in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Phoenix%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/arize-ai-phoenix/install
Install command: npx skills add Arize-ai/phoenix
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/arize-ai-phoenix/install
LLM text format
/api/skills/arize-ai-phoenix/install?format=text
Find alternatives
/api/skills/search?q=Phoenix&limit=3
Agent prompt
Use Phoenix for this task. Review https://www.openagentskill.com/api/skills/arize-ai-phoenix/install, then install with: npx skills add Arize-ai/phoenixRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/arize-ai-phoenix
LLM text
/api/registry/manifest/arize-ai-phoenix?format=text
Install alias
/api/registry/install/arize-ai-phoenix
Recommend
/api/registry/recommend?task=Use%20Phoenix%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Python, LLMOps, Claude Code, LangChain
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
AI Observability & Evaluation
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Frameworks & tools
Decision snapshot
11,284 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Phoenix, ready for a manual X post.
For a web workflow, this is a skill worth shortlisting before another blank prompt. Phoenix: AI Observability & Evaluation 11.3K stars https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x
Listing + install path for Phoenix: https://www.openagentskill.com/skills/arize-ai-phoenix?ref=x Install: npx skills add Arize-ai/phoenix
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Arize-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/arize-ai-phoenix/audit)
[](https://www.openagentskill.com/skills/arize-ai-phoenix?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Arize-ai✓
@arize-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
97.4K StarsGraphify
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
92.0K StarsCodegraph
Pre-indexed code knowledge graph for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
54.2K StarsReverse Skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
25.6K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness