Build Dod
danshapiro/kilroy
A skill your agent uses when converting a spec, requirements document, or goal statement into a Definition of Done with acceptance criteria and integration test scenarios
Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence.
Install 01 Acceptance QA
$ npx skills add ai-driven-dev/framework --skill 01-acceptance-qa -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ai-driven-dev/framework 01-acceptance-qa --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/ai-driven-dev/framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aidd-qa/skills/01-acceptance-qa .claude/skills/01-acceptance-qa && 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 "01-acceptance-qa" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qa into .claude/skills/01-acceptance-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-acceptance-qa", 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/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qaType 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 ai-driven-dev/framework --skill 01-acceptance-qa -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ai-driven-dev/framework 01-acceptance-qa --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/aidd-qa/skills/01-acceptance-qa .agents/skills/01-acceptance-qa && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "01-acceptance-qa" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qa into .agents/skills/01-acceptance-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-acceptance-qa", 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 ai-driven-dev/framework --skill 01-acceptance-qa -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ai-driven-dev/framework 01-acceptance-qa --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/aidd-qa/skills/01-acceptance-qa .cursor/skills/01-acceptance-qa && 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 "01-acceptance-qa" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qa into .cursor/skills/01-acceptance-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-acceptance-qa", 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/ai-driven-dev/framework.git --path plugins/aidd-qa/skills/01-acceptance-qa--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 ai-driven-dev/framework --skill 01-acceptance-qa -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ai-driven-dev/framework 01-acceptance-qa --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/aidd-qa/skills/01-acceptance-qa .gemini/skills/01-acceptance-qa && 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 "01-acceptance-qa" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qa into .gemini/skills/01-acceptance-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-acceptance-qa", 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 ai-driven-dev/framework 01-acceptance-qaInstalls 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 ai-driven-dev/framework --skill 01-acceptance-qa -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/aidd-qa/skills/01-acceptance-qa .github/skills/01-acceptance-qa && 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 "01-acceptance-qa" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qa into .github/skills/01-acceptance-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-acceptance-qa", 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 ai-driven-dev/framework --skill 01-acceptance-qa -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ai-driven-dev/framework 01-acceptance-qa --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ai-driven-dev/framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/aidd-qa/skills/01-acceptance-qa .opencode/skills/01-acceptance-qa && 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 "01-acceptance-qa" agent skill from https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-qa/skills/01-acceptance-qa into .opencode/skills/01-acceptance-qa/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "01-acceptance-qa", 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.
Facts
- Skill name
01-acceptance-qa- GitHub stars
- 510
- Token cost
- ~434 tokens
- SKILL.md length
- 134 words
- Files
- 7 (incl. references, assets)
- Skills in repo
- 52
- Repo updated
- First seen
- Licence
- MIT
At a glance
Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence.
- Acceptance criteria exist and a browser-observable journey needs proof it holds
- SKILL.md covers Actions and Transversal rules
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Integration tests
What it does
01 Acceptance QA is an agent skill from ai-driven-dev/framework. Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence. Use when acceptance criteria exist and a browser-observable journey needs proof it holds. Do NOT use for diff review, unit or integration tests, or application fixes.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `actions/01-load-scope.md`, `actions/02-prerequisites.md` and `actions/03-prepare-run.md`).
It sits in Product & Project Management, covering User stories and Integration testing. The repository describes itself as: Marketplace Framework AI-Driven Dev : Context Engineering, Plugins, Agents, Skills, Hooks, Templates, SDLC. The licence is MIT.
When your agent uses it
- Acceptance criteria exist and a browser-observable journey needs proof it holds
- Integration tests
- Application fixes
Example prompts
- “/01-acceptance-qa”
What it can do on your machine
Read from SKILL.md and the folder at commit 6e30640. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
01 Acceptance QA loads about 434 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 134 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.
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 ai-driven-dev/framework at commit 6e30640, republished under its MIT licence (© ai-driven-dev). 134 words, ~434 tokens.
Download SKILL.mdSave it as
.claude/skills/01-acceptance-qa/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- 01-acceptance-qa
- description
- Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence. Use when acceptance criteria exist and a browser-observable journey needs proof it holds. Do NOT use for diff review, unit or integration tests, or application fixes.
- argument-hint
- acceptance criteria | reviewed candidate
Acceptance QA
flowchart LR
scope["load-scope"] --> prerequisites["prerequisites"] --> prepare["prepare-run"] --> run["run-scenarios"] --> report["qa.md"]
scope -- skipped --> reportActions
Read only the next action's file before running it.
| # | Action | Does |
|---|---|---|
| 01 | load-scope | Lock at most one happy path and the edge cases its acceptance criteria name |
| 02 | prerequisites | Verify the browser runner and media dependencies |
| 03 | prepare-run | Resolve the shortest deterministic path to executable runs |
| 04 | run-scenarios | Record, normalize, verify, reset, and report every scenario |
Transversal rules
- Run against a reviewed change and never patch the application.
- Never delete data not proven test-only.
- Never derive a scenario from the diff or the source code; every scenario traces to an acceptance criterion.
- Never spawn agents. Batch independent reads and tool checks, but keep state-changing browser work sequential.
- Do not narrate action transitions, searches, fixtures, selectors, or successful checks. Report only a blocker, a required decision, or the final verdict and paths.
© ai-driven-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (references, assets) in plugins/aidd-qa/skills/01-acceptance-qa of ai-driven-dev/framework.
- SKILL.md
- actions/01-load-scope.md
- actions/02-prerequisites.md
- actions/03-prepare-run.md
- actions/04-run-scenarios.md
- assets/qa-report-template.md
- references/interface-browser-playwright-cli.md
Open the folder on GitHubat commit 6e30640
Compare with similar skills
01 Acceptance QA 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 |
|---|---|---|---|---|---|---|
| 01 Acceptance QA this skillai-driven-dev/framework | 510 | — | ~434 | Automated safety check: Pass | MIT | |
| Build Doddanshapiro/kilroy | 221 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Cavekit Validation FirstJuliusBrussee/caveman-code | 940 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Maa Workflow Buildduorua/narutomobile | 335 | — | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| Verification Gatesrohitg00/skillkit | 1.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| QAwp-media/wp-rocket | 767 | — | ~552 | Automated safety check: Pass | GPL-2.0 |
Similar skills
Cavekit Validation First
JuliusBrussee/caveman-code
Validation-first design for Cavekit — every kit requirement must be automatically verifiable.
Maa Workflow Build
duorua/narutomobile
Orchestrate ambiguous end-to-end MaaFramework automation requests into verified implementations.
Verification Gates
rohitg00/skillkit
Creates explicit validation checkpoints (verification gates) between project phases to catch errors early and ensure quality before proceeding.
QA
wp-media/wp-rocket
Run QA validation on a pull request — boots the local environment, tests acceptance criteria, and optionally posts the report as a PR comment.
Review Rfc
nurettincoban/ai-prd-workflow
Review an implemented RFC in a fresh context against its acceptance criteria, RULES.md and the test plan, and save the review to reviews/.
More from ai-driven-dev/framework
All 52 skills in this repo00 Async Dev
ai-driven-dev/framework
Drive the async-dev pipeline from one entry point, whether setup, run, or review.
01 Plan
ai-driven-dev/framework
Turn a request, ticket, or file into a phased implementation plan.
01 Sdlc
ai-driven-dev/framework
Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge.
02 Backlog
ai-driven-dev/framework
Orchestrates a product backlog end to end. An agent skill from ai-driven-dev/framework.
00 Onboard
ai-driven-dev/framework
Guide a project's journey through AIDD, from first setup to shipping a feature.
01 Brainstorm
ai-driven-dev/framework
Clarify a vague product or technical intent through natural discovery.
Related
Categories
Questions about 01 Acceptance QA
What does 01 Acceptance QA do?
Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence. 01 Acceptance QA is an agent skill from ai-driven-dev/framework. Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence.
When should I use 01 Acceptance QA?
01 Acceptance QA fits situations like: acceptance criteria exist and a browser-observable journey needs proof it holds; integration tests; application fixes.
How do I install 01 Acceptance QA in Claude Code?
Run `npx skills add ai-driven-dev/framework --skill 01-acceptance-qa -a claude-code`. Or copy the skill folder (plugins/aidd-qa/skills/01-acceptance-qa in ai-driven-dev/framework) into .claude/skills/01-acceptance-qa in your project. Claude Code loads it when a task matches its description.
How do I install 01 Acceptance QA in Codex?
Run `npx skills add ai-driven-dev/framework --skill 01-acceptance-qa -a codex`. Or copy the skill folder (plugins/aidd-qa/skills/01-acceptance-qa in ai-driven-dev/framework) into .agents/skills/01-acceptance-qa in your project. Codex loads it when a task matches its description.
Can I use 01 Acceptance QA 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 ai-driven-dev/framework --skill 01-acceptance-qa -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/01-acceptance-qa, .gemini/skills/01-acceptance-qa, .github/skills/01-acceptance-qa and .opencode/skills/01-acceptance-qa in your project.
What does 01 Acceptance QA need to run?
SKILL.md names no scripts, command-line tools or credentials: 01 Acceptance QA is instructions for the agent only.
Does 01 Acceptance QA 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 01 Acceptance QA 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 01 Acceptance QA use?
01 Acceptance QA is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 01 Acceptance QA use?
About 434 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
What are the alternatives to 01 Acceptance QA?
Skills that share tags, products or a category with 01 Acceptance QA: Build Dod (danshapiro/kilroy, 221 stars), Cavekit Validation First (JuliusBrussee/caveman-code, 940 stars), Maa Workflow Build (duorua/narutomobile, 335 stars) and Verification Gates (rohitg00/skillkit, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 01 Acceptance QA?
ai-driven-dev (a GitHub organization) maintains it in ai-driven-dev/framework, which has 510 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on October 7, 2026.
Source: ai-driven-dev/framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.