Validation Methodology
prime-radiant-inc/greenfield
Cross-cutting validation discipline. An agent skill from prime-radiant-inc/greenfield.
Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions.
Install QA Review
$ npx skills add digipulse-engineering/GAAI-framework --skill qa-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digipulse-engineering/GAAI-framework qa-review --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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/delivery/qa-review .claude/skills/qa-review && 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 "qa-review" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-review into .claude/skills/qa-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa-review", 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/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-reviewType 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 digipulse-engineering/GAAI-framework --skill qa-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digipulse-engineering/GAAI-framework qa-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.gaai/core/skills/delivery/qa-review .agents/skills/qa-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qa-review" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-review into .agents/skills/qa-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa-review", 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 digipulse-engineering/GAAI-framework --skill qa-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digipulse-engineering/GAAI-framework qa-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.gaai/core/skills/delivery/qa-review .cursor/skills/qa-review && 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 "qa-review" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-review into .cursor/skills/qa-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa-review", 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/digipulse-engineering/GAAI-framework.git --path .gaai/core/skills/delivery/qa-review--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 digipulse-engineering/GAAI-framework --skill qa-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digipulse-engineering/GAAI-framework qa-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.gaai/core/skills/delivery/qa-review .gemini/skills/qa-review && 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 "qa-review" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-review into .gemini/skills/qa-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa-review", 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 digipulse-engineering/GAAI-framework qa-reviewInstalls 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 digipulse-engineering/GAAI-framework --skill qa-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/.gaai/core/skills/delivery/qa-review .github/skills/qa-review && 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 "qa-review" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-review into .github/skills/qa-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa-review", 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 digipulse-engineering/GAAI-framework --skill qa-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digipulse-engineering/GAAI-framework qa-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.gaai/core/skills/delivery/qa-review .opencode/skills/qa-review && 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 "qa-review" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/delivery/qa-review into .opencode/skills/qa-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qa-review", 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
qa-review- GitHub stars
- 163
- Token cost
- ~3.4k tokens
- SKILL.md length
- 1,652 words
- Files
- 2
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions.
- Works in 8 steps: Story Compliance Check → Scope Integrity Check → Rule Enforcement → …
- Tasks that involve Quality gates
- SKILL.md covers Purpose / When to Activate, Process, Outputs and Hard Rules
- Calls tsc, pnpm and wrangler
What it does
QA Review is an agent skill from digipulse-engineering/GAAI-framework. Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions. This is the hard quality gate — no pass means no delivery. Activate after implementation is complete.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `evals.yaml`). Compatibility notes: Works with any filesystem-based AI coding agent
It sits in Testing & QA, covering Quality gates and User stories. The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…
When your agent uses it
- Tasks that involve Quality gates
- Tasks that involve User stories
Example prompts
- “/qa-review”
Requirements
- Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Story Compliance Check
- Scope Integrity Check
- Rule Enforcement
- Regression Scan
- Build / Type / Lint Integrity
- Quality Checks
- Currentness & Evidence Review (DEC-200)
- Memory Alignment (PASS only)
What it can do on your machine
Read from SKILL.md and the folder at commit a26ea7a. 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:
tscpnpmwranglercargogo
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pnpm and wrangler, 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.
Compatibility
Works with any filesystem-based AI coding agent
From compatibility in the SKILL.md frontmatter.
Context cost
QA Review loads about 3.4k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 1,652 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,652 words (~3,420 tokens).
“Activate after implementation is complete. This is a hard quality gate.”
- name
- qa-review
- compatibility
- Works with any filesystem-based AI coding agent
- license
- ELv2
- metadata.author
- gaai-framework
- metadata.version
- 1.0
- metadata.category
- delivery
- metadata.track
- delivery
- metadata.id
- SKILL-QA-REVIEW-001
- metadata.updated_at
- 2026-04-15
- metadata.status
- stable
- inputs
- contexts/artefacts/stories/**, contexts/artefacts/plans/**, codebase (working tree), contexts/rules/**, contexts/memory/** (optional — past bugs, regressions…
- outputs
- qa_report (PASS | FAIL)
Files
SKILL.md and 1 other file in .gaai/core/skills/delivery/qa-review of digipulse-engineering/GAAI-framework.
- SKILL.md
- evals.yaml
Open the folder on GitHubat commit a26ea7a
Compare with similar skills
QA Review 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 |
|---|---|---|---|---|---|---|
| QA Review this skilldigipulse-engineering/GAAI-framework | 163 | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Validation Methodologyprime-radiant-inc/greenfield | 292 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Validation Firsthashgraph-online/awesome-codex-plugins | 1.2k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| Build Doddanshapiro/kilroy | 222 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Build Scenario Teststamdogood/builder-essential-skills | 219 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Verification Gatesrohitg00/skillkit | 1.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Validation First
hashgraph-online/awesome-codex-plugins
Validation-first design for AI agent output — every spec requirement must be automatically verifiable.
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
Build Scenario Tests
tamdogood/builder-essential-skills
Inspect an unfamiliar repository, turn a focused Markdown behavior scenario into a deterministic test in the repository's native test stack, run it, and preserve traceability between intent and code.
Verification Gates
rohitg00/skillkit
Creates explicit validation checkpoints (verification gates) between project phases to catch errors early and ensure quality before proceeding.
Test Scenarios
phuryn/pm-skills
Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step actions, and expected outcomes.
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Evaluate any output file against a structured evals.yaml assertions file and produce a score report with per-assertion pass/fail results.
Pattern Transfer
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Discover structurally similar patterns across domains, assess transfer viability via structural invariant checking, and propose domain adaptations with risk gates.
Skill Optimize
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Run a structured evaluate-analyze-improve cycle on any GAAI skill to measure quality, detect regressions, and propose targeted improvements.
Abort Safe Handler
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Create Skill
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Guide creation of a new GAAI skill following the agentskills.io spec and GAAI best practices.
Discovery High Level Plan
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Transform vague or high-level human intent into a governed Discovery action plan.
Related
Categories
Questions about QA Review
What does QA Review do?
Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions. QA Review is an agent skill from digipulse-engineering/GAAI-framework. Validate that implemented code fully satisfies Story acceptance criteria, respects rules, and introduces no regressions.
When should I use QA Review?
QA Review fits situations like: tasks that involve Quality gates; tasks that involve User stories.
How do I install QA Review in Claude Code?
Run `npx skills add digipulse-engineering/GAAI-framework --skill qa-review -a claude-code`. Or copy the skill folder (.gaai/core/skills/delivery/qa-review in digipulse-engineering/GAAI-framework) into .claude/skills/qa-review in your project. Claude Code loads it when a task matches its description.
How do I install QA Review in Codex?
Run `npx skills add digipulse-engineering/GAAI-framework --skill qa-review -a codex`. Or copy the skill folder (.gaai/core/skills/delivery/qa-review in digipulse-engineering/GAAI-framework) into .agents/skills/qa-review in your project. Codex loads it when a task matches its description.
Can I use QA Review 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 digipulse-engineering/GAAI-framework --skill qa-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qa-review, .gemini/skills/qa-review, .github/skills/qa-review and .opencode/skills/qa-review in your project.
What does QA Review need to run?
Going by SKILL.md and its folder, QA Review needs the command-line tools its instructions call (tsc, pnpm, wrangler, cargo and go). Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent.
Does QA Review 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 QA Review 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 QA Review use?
QA Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does QA Review use?
About 3.4k tokens (SKILL.md is roughly 14k 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 QA Review?
Skills that share tags, products or a category with QA Review: Validation Methodology (prime-radiant-inc/greenfield, 292 stars), Validation First (hashgraph-online/awesome-codex-plugins, 1.2k stars), Build Dod (danshapiro/kilroy, 222 stars) and Build Scenario Tests (tamdogood/builder-essential-skills, 219 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains QA Review?
digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on September 29, 2026.
Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.