Phoenix CLI
github/awesome-copilot
Debug LLM applications using the Phoenix CLI. An agent skill from github/awesome-copilot.
Teaches agents how to write correct riteway ai prompt evals (.sudo files) for multi-step flows that involve tool calls.
$ npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install paralleldrive/aidd aidd-riteway-ai --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai/skills/aidd-riteway-ai .claude/skills/aidd-riteway-ai && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "aidd-riteway-ai" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-ai into .claude/skills/aidd-riteway-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-riteway-ai", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-aiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install paralleldrive/aidd aidd-riteway-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai/skills/aidd-riteway-ai .agents/skills/aidd-riteway-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aidd-riteway-ai" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-ai into .agents/skills/aidd-riteway-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-riteway-ai", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install paralleldrive/aidd aidd-riteway-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai/skills/aidd-riteway-ai .cursor/skills/aidd-riteway-ai && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aidd-riteway-ai" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-ai into .cursor/skills/aidd-riteway-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-riteway-ai", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/paralleldrive/aidd.git --path ai/skills/aidd-riteway-ai--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install paralleldrive/aidd aidd-riteway-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai/skills/aidd-riteway-ai .gemini/skills/aidd-riteway-ai && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aidd-riteway-ai" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-ai into .gemini/skills/aidd-riteway-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-riteway-ai", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install paralleldrive/aidd aidd-riteway-aiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai/skills/aidd-riteway-ai .github/skills/aidd-riteway-ai && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aidd-riteway-ai" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-ai into .github/skills/aidd-riteway-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-riteway-ai", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install paralleldrive/aidd aidd-riteway-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai/skills/aidd-riteway-ai .opencode/skills/aidd-riteway-ai && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aidd-riteway-ai" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-riteway-ai into .opencode/skills/aidd-riteway-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-riteway-ai", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
aidd-riteway-aiTeaches agents how to write correct riteway ai prompt evals (.sudo files) for multi-step flows that involve tool calls.
Aidd Riteway AI is an agent skill from paralleldrive/aidd. Teaches agents how to write correct riteway ai prompt evals (.sudo files) for multi-step flows that involve tool calls. Use when writing prompt evals, creating .sudo test files, or testing agent skills that use tools such as gh, GraphQL, or external APIs.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `riteway-ai.test.js`). Compatibility notes: Requires riteway =9 with the riteway ai subcommand available.
It sits in AI & LLM Engineering, covering LLM evaluation and GraphQL. It works with GraphQL. The repository describes itself as: The standard framework for AI Driven Development. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9a7c8e3. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (JavaScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires riteway >=9 with the `riteway ai` subcommand available.
From compatibility in the SKILL.md frontmatter.
Aidd Riteway AI loads about 1.6k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 665 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from paralleldrive/aidd at commit 9a7c8e3, republished under its MIT licence (© paralleldrive). 665 words, ~1,636 tokens.
.claude/skills/aidd-riteway-ai/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Act as a top-tier AI test engineer to write correct riteway ai prompt evals
for multi-step agent skills that involve tool calls.
Refer to /aidd-tdd for assertion style (given/should/actual/expected) and
test isolation principles.
Refer to /aidd-requirements for the "Given X, should Y" format
when writing assertions inside .sudo eval files.
.sudo eval file per step (Rule 1), placed in ai-evals/<skill-name>/userPrompt — include mock tool preambles for unit evals (Rule 2), assert tool calls for step 1 (Rule 3), supply previous step output for step N > 1 (Rule 4)Given X, should Y format (Rule 7)A .sudo eval file has three sections:
import 'ai/skills/<skill-name>/SKILL.md'
userPrompt = """
<prompt sent to the agent under test>
"""
- Given <condition>, should <observable behavior>
- Given <condition>, should <observable behavior>Assertions are bullet points written after the userPrompt block.
Each assertion tests one distinct observable behavior derived from the
functional requirements of the skill under test.
Given a multi-step flow under test, write one .sudo eval file per step
rather than combining all steps into a single overloaded userPrompt.
Naming convention:
ai-evals/<skill-name>/step-1-<description>-test.sudo
ai-evals/<skill-name>/step-2-<description>-test.sudoDo not collapse multiple steps into one file. Each file tests exactly one discrete agent action.
Given a unit eval for a step that involves tool calls (gh, GraphQL, REST API),
include a preamble in the userPrompt that:
Example preamble:
You have the following mock tools available. Use them instead of real gh or GraphQL calls:
mock gh pr view => returns:
title: My PR
branch: feature/foo
base: main
mock gh api (list review threads) => returns:
[{ id: "T_01", resolved: false, body: "..." }]Given a unit eval for step 1 of a tool-calling flow, assert that the agent makes the correct tool calls. Do not pre-supply the answers those calls would return — that defeats the purpose of the eval.
Correct pattern for step 1:
userPrompt = """
You have mock tools available. Use them instead of real API calls.
Run step 1 of your skill under test: fetch the PR details and review threads.
"""
- Given mock gh tools, should call gh pr view to retrieve the PR branch name
- Given mock gh tools, should call gh api to list the open review threads
- Given the review threads, should present them before taking any actionWrong pattern (pre-supplying answers in step 1):
# ❌ Do not do this — it removes the assertion value
userPrompt = """
The PR branch is feature/foo.
The review threads are: [...]
Now generate delegation prompts.
"""Given a unit eval for step N > 1, include the output of the previous step
as context inside the userPrompt. This makes each eval independently
executable without running the prior steps live.
Example for step 2:
userPrompt = """
You have mock tools available. Use them instead of real calls.
Triage is complete. The following issues remain unresolved:
Issue 1 (thread ID: T_01):
File: src/utils.js, line 5
"add() subtracts instead of adding"
Generate delegation prompts for the remaining issues.
"""Given an e2e eval, use real tools (no mock preamble) and follow the
-e2e.test.sudo naming convention to mirror the project's existing unit/e2e
split:
ai-evals/<skill-name>/step-1-<description>-e2e.test.sudoE2E evals run against live APIs. Only run them when the environment is configured with the necessary credentials.
Given fixture files needed by an eval, keep them small (< 20 lines) with one clear bug or condition per file. Fixtures live in:
ai-evals/<skill-name>/fixtures/<filename>Example fixture (add.js):
export const add = (a, b) => a - b; // bug: subtracts instead of addsDo not combine multiple bugs in one fixture file. Each fixture must make the assertion conditions unambiguous.
Given assertions in a .sudo eval, derive them strictly from the functional
requirements of the skill under test using the /aidd-requirements
format:
- Given <condition>, should <observable behavior>Include only assertions that test distinct observable behaviors. Do not:
Before saving a .sudo eval file, verify:
-e2e.test.sudo suffix (Rule 5)Commands { 🧪 /aidd-riteway-ai - write correct riteway ai prompt evals for multi-step tool-calling flows }
© paralleldrive, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files in ai/skills/aidd-riteway-ai of paralleldrive/aidd.
Open the folder on GitHubat commit 9a7c8e3
Aidd Riteway AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aidd Riteway AI this skillparalleldrive/aidd | 384 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Phoenix CLIgithub/awesome-copilot | 40k | 1 repos | ~4k | Automated safety check: Pass | Apache-2.0 | |
| Phoenix GraphqlArize-ai/phoenix | 12k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Phoenix CLIArize-ai/phoenix | 12k | — | ~6.8k | Automated safety check: Notes | Apache-2.0 | |
| Testinginbrainfun/inbrain | 142 | 1 repos | ~2k | Automated safety check: Pass | Custom licence | |
| Agentsop HTTP Tool Wrappingagentsope/SkillAlchemy | 466 | — | ~5.9k | Automated safety check: Pass | MIT |
github/awesome-copilot
Debug LLM applications using the Phoenix CLI. An agent skill from github/awesome-copilot.
Arize-ai/phoenix
Write efficient GraphQL queries against the Phoenix API. An agent skill from Arize-ai/phoenix.
Arize-ai/phoenix
Debug LLM applications using the Phoenix CLI. An agent skill from Arize-ai/phoenix.
inbrainfun/inbrain
Skill validation framework PLUS daily test-suite health and regression intelligence.
agentsope/SkillAlchemy
Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call.
ever-works/ever-works
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices.
paralleldrive/aidd
Guides creating, reviewing or refactoring AI-Driven Development skills so each one stays minimal, composable and named around a single clear function.
paralleldrive/aidd
Enforces a split of UI components into terminal and layout types, with layout components composing others through standard layout tokens, for cleaner structure and fewer re-renders.
paralleldrive/aidd
Enforces @adobe/data/ecs practices when writing Database.Plugin definitions, including property order, plugin composition, services, components, resources and archetypes.
paralleldrive/aidd
Has your agent throw and catch JavaScript and TypeScript errors with the error-causes library, using named causes, preserved originals and routed handlers.
paralleldrive/aidd
Teaches the saga pattern with call and put so network requests and side effects stay out of the logic and sagas can be tested without mocks.
paralleldrive/aidd
Rules for writing Lit elements in an AIDD project: binding elements on DatabaseElement, observed values, presentation components and action-style callbacks.
Works with
Categories
Teaches agents how to write correct riteway ai prompt evals (.sudo files) for multi-step flows that involve tool calls. Aidd Riteway AI is an agent skill from paralleldrive/aidd.sudo files) for multi-step flows that involve tool calls.
Aidd Riteway AI fits situations like: writing prompt evals; creating .sudo test files; testing agent skills that use tools such as gh.
Run `npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a claude-code`. Or copy the skill folder (ai/skills/aidd-riteway-ai in paralleldrive/aidd) into .claude/skills/aidd-riteway-ai in your project. Claude Code loads it when a task matches its description.
Run `npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a codex`. Or copy the skill folder (ai/skills/aidd-riteway-ai in paralleldrive/aidd) into .agents/skills/aidd-riteway-ai in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add paralleldrive/aidd --skill aidd-riteway-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aidd-riteway-ai, .gemini/skills/aidd-riteway-ai, .github/skills/aidd-riteway-ai and .opencode/skills/aidd-riteway-ai in your project.
Going by SKILL.md and its folder, Aidd Riteway AI needs JavaScript for the scripts in its folder. Our summary lists: Node.js. Compatibility (from SKILL.md): Requires riteway >=9 with the `riteway ai` subcommand available..
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Aidd Riteway AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Aidd Riteway AI: Phoenix CLI (github/awesome-copilot, 40k stars), Phoenix Graphql (Arize-ai/phoenix, 12k stars), Phoenix CLI (Arize-ai/phoenix, 12k stars) and Testing (inbrainfun/inbrain, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
paralleldrive (a GitHub organization) maintains it in paralleldrive/aidd, which has 384 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on June 12, 2026.
Source: paralleldrive/aidd on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.