Agent skill

Agent Verification

by DodoraApp in DodoraApp/DodoStream

Select and run concise deterministic DodoStream verification checks.

GPL-3.0Auto-check passedTesting & QA

Install Agent Verification

skills CLI
$ npx skills add DodoraApp/DodoStream --skill agent-verification -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DodoraApp/DodoStream agent-verification --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DodoraApp/DodoStream.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-verification .claude/skills/agent-verification && rm -rf skills-src

Use ~/.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/

Facts

Skill name
agent-verification
GitHub stars
243
Token cost
~802 tokens
SKILL.md length
240 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
GPL-3.0

At a glance

Select and run concise deterministic DodoStream verification checks.

  • Implementation validation
  • SKILL.md covers Commands, Phase selection, Native and diagnostic boundaries and Exit criteria
  • Calls pnpm
  • CI-equivalent checks

What it does

Agent Verification is an agent skill from DodoraApp/DodoStream. Select and run concise deterministic DodoStream verification checks. Use for implementation validation, CI-equivalent checks, static quality checks, or rerunning one failing verification phase.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA. It works with Android and Expo. The licence is GPL-3.0.

When your agent uses it

  • Implementation validation
  • CI-equivalent checks
  • Static quality checks
  • Rerunning one failing verification phase

Example prompts

  • “/agent-verification”

What it can do on your machine

Read from SKILL.md and the folder at commit 1ef9461. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • pnpm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Verification loads about 802 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 240 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~802

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from DodoraApp/DodoStream at commit 1ef9461, republished under its GPL-3.0 licence (© DodoraApp). 240 words, ~802 tokens.

Download SKILL.mdSave it as .claude/skills/agent-verification/SKILL.md (or your agent's skills folder).
name
agent-verification
description
Select and run concise deterministic DodoStream verification checks. Use for implementation validation, CI-equivalent checks, static quality checks, or rerunning one failing verification phase.

Agent verification

Use this skill to select the narrowest deterministic check that observes the changed contract. It complements slice-development; it does not replace focused tests or authorized native evidence.

Commands

bash
# List stable phase keys.
pnpm --silent verify:agent --list

# Run one or more named phases with concise output.
pnpm --silent verify:agent --only typecheck,lint

# Emit newline-delimited JSON for an automated caller.
pnpm --silent verify:agent --only format,typecheck --json

# Stream a child command while diagnosing it.
pnpm --silent verify:agent --only android-prebuild --verbose

# Run the complete deterministic gate after the last slice.
pnpm --silent verify:agent
# `pnpm verify:ci` is the CI alias.

verify:agent preserves a failing command's output and exit status. It suppresses successful child output so an agent retains the phase result, elapsed time, and failure evidence instead of routine logs.

Phase selection

Changed areaFirst check
TypeScript code or importstypecheck
Formatting-only or config/documentation changesformat
JavaScript/TypeScript lint ruleslint
Expo dependency versionsexpo-deps, then expo-doctor
Native config or config pluginsandroid-prebuild
Root Jest contracta focused pnpm --silent test:agent <path-or-pattern>
Android E2E runner scriptse2e-tools
Deterministic fixture add-one2e-addon-types,e2e-addon

Run the complete gate only after the changed slice's focused check passes. Do not substitute it for a focused RED/GREEN test.

Native and diagnostic boundaries

  • verify:agent never builds an APK, starts Metro, acquires a device, or proves UI/focus/player behavior.
  • For rendered Android/TV behavior, use android-interactive-verification after this gate; the device proof is separate.
  • Use direct pnpm lint when the current warning text matters. The gate intentionally reports a successful lint phase concisely.
  • The Jest phase does not force-exit or otherwise conceal open handles. Investigate a handle warning as its own defect; do not weaken the gate to hide it.

Exit criteria

Report the exact phase keys and observed result. A complete UI or native-feature claim also needs the focused test and, when applicable, the authorized device evidence named by slice-development.

© DodoraApp, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-verification of DodoraApp/DodoStream.

Open the folder on GitHubat commit 1ef9461

Compare with similar skills

Agent Verification 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.

Agent Verification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Verification this skillDodoraApp/DodoStream243—~802Automated safety check: PassGPL-3.0
Building Native UICherryHQ/cherry-studio-app4k8 repos~2.6kAutomated safety check: PassMIT
Expo Tailwind SetupCherryHQ/cherry-studio-app4k8 repos~3kAutomated safety check: PassMIT
Screenmapaleqsio/screenmap239—~7.2kAutomated safety check: PassMIT
Expo Brownfield Integrationmweinbach/agent-coworker1562 repos~900Automated safety check: NotesCustom licence
Expo UIarcboxlabs/linkcode155—~1.2kAutomated safety check: PassMIT

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  • Feature Delivery

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    243 GitHub stars~250 tokensUpdated 17 days ago
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  • Session-scoped Android and Android TV fixture, APK, interaction, evidence, and Maestro procedure through the agent-device MCP server.

    243 GitHub stars~1.1k tokensUpdated 17 days ago
    Auto-check passed

Works with

Categories

Questions about Agent Verification

What does Agent Verification do?

Select and run concise deterministic DodoStream verification checks. Agent Verification is an agent skill from DodoraApp/DodoStream. Select and run concise deterministic DodoStream verification checks.

When should I use Agent Verification?

Agent Verification fits situations like: implementation validation; CI-equivalent checks; static quality checks; rerunning one failing verification phase.

How do I install Agent Verification in Claude Code?

Run `npx skills add DodoraApp/DodoStream --skill agent-verification -a claude-code`. Or copy the skill folder (.agents/skills/agent-verification in DodoraApp/DodoStream) into .claude/skills/agent-verification in your project. Claude Code loads it when a task matches its description.

How do I install Agent Verification in Codex?

Run `npx skills add DodoraApp/DodoStream --skill agent-verification -a codex`. Or copy the skill folder (.agents/skills/agent-verification in DodoraApp/DodoStream) into .agents/skills/agent-verification in your project. Codex loads it when a task matches its description.

Can I use Agent Verification in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DodoraApp/DodoStream --skill agent-verification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-verification, .gemini/skills/agent-verification, .github/skills/agent-verification and .opencode/skills/agent-verification in your project.

What does Agent Verification need to run?

Going by SKILL.md and its folder, Agent Verification needs the command-line tools its instructions call (pnpm).

Does Agent Verification access the network?

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.

Is Agent Verification safe to install?

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.

What licence does Agent Verification use?

Agent Verification is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Verification use?

About 802 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Verification?

Skills that share tags, products or a category with Agent Verification: Building Native UI (CherryHQ/cherry-studio-app, 4k stars), Expo Tailwind Setup (CherryHQ/cherry-studio-app, 4k stars), Screenmap (aleqsio/screenmap, 239 stars) and Expo Brownfield Integration (mweinbach/agent-coworker, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Verification?

DodoraApp (a GitHub organization) maintains it in DodoraApp/DodoStream, which has 243 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 20, 2026.

Source: DodoraApp/DodoStream on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.