Agent skill

Qv PR Test

by tetherto in tetherto/qvac

Plan and run local PR validation for tetherto/qvac PRs. An agent skill from tetherto/qvac.

Apache-2.0Auto-check passedDevelopment

Install Qv PR Test

skills CLI
$ npx skills add tetherto/qvac --skill qv-pr-test -a claude-code

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

GitHub CLI
$ gh skill install tetherto/qvac qv-pr-test --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/tetherto/qvac.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/qv-pr-test .claude/skills/qv-pr-test && 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
qv-pr-test
GitHub stars
681
Token cost
~4.2k tokens
SKILL.md length
1,809 words
Files
2
Skills in repo
50
Repo updated
First seen
Licence
Apache-2.0

At a glance

Plan and run local PR validation for tetherto/qvac PRs. An agent skill from tetherto/qvac.

  • Works in 4 steps: Discover package-local setup, examples,… → Present a recommended tier plus any… → Execute agent-owned steps inside the… → …
  • Invoking /qv-pr-test
  • SKILL.md covers When to use this skill, Inputs, Safety rules and Workflow, plus 8 more sections
  • Calls git, bun and npm

What it does

Qv PR Test is an agent skill from tetherto/qvac. Plan and run local PR validation for tetherto/qvac PRs. Reuses the shared PR worktree, discovers touched packages and package.json scripts, recommends a test tier, and analyzes results. Use when testing a PR or invoking /qv-pr-test.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Git worktrees. It works with npm and Git. The repository describes itself as: Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more… The licence is Apache-2.0.

When your agent uses it

  • Invoking /qv-pr-test
  • Tasks that involve Git worktrees

Example prompts

  • “/qv-pr-test”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Discover package-local setup, examples, tests, and related validation targets from committed PR state.
  2. Present a recommended tier plus any related examples/tests as part of the same proposal.
  3. Execute agent-owned steps inside the isolated PR worktree when safe.
  4. For validation that must be user-run, print exact commands and inspect reports/logs afterward.

What it can do on your machine

Read from SKILL.md and the folder at commit c3a6030. 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:

    • git
    • bun
    • npm
    • npx
    • node
    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use git, npm, npx and gh, 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

Qv PR Test loads about 4.2k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,809 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

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 tetherto/qvac at commit c3a6030, republished under its Apache-2.0 licence (© tetherto). 1,809 words, ~4,213 tokens.

Download SKILL.mdSave it as .claude/skills/qv-pr-test/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
qv-pr-test
description
Plan and run local PR validation for tetherto/qvac PRs. Reuses the shared PR worktree, discovers touched packages and package.json scripts, recommends a test tier, and analyzes results. Use when testing a PR or invoking /qv-pr-test.
disable-model-invocation
true

PR Test

Manual-trigger local PR validation for any GitHub PR in tetherto/qvac.

The skill prepares an isolated PR worktree, discovers changed packages and test options, recommends a tier, and then runs or proposes the selected validation steps according to package type.

High-level flow:

  1. Discover package-local setup, examples, tests, and related validation targets from committed PR state.
  2. Present a recommended tier plus any related examples/tests as part of the same proposal.
  3. Execute agent-owned steps inside the isolated PR worktree when safe.
  4. For validation that must be user-run, print exact commands and inspect reports/logs afterward.

When to use this skill

Use when:

  • User asks to test a PR or provides a PR URL for validation.
  • User invokes /qv-pr-test.
  • A PR review/status flow needs local verification before reviewers are pinged.

Inputs

  • Required: PR URL, e.g. https://github.com/tetherto/qvac/pull/1234.
  • Optional: user focus area, preferred mobile platform (android or ios), desired tier.

If PR URL is missing, ask for it. Do not ask other questions until discovery has produced a concrete recommendation.

Safety rules

This skill must not touch the user's local working tree.

Forbidden against the user's main repo:

  • git switch, git checkout, git reset, git restore
  • git stash, git pull, git merge, git rebase, git cherry-pick
  • git clean
  • gh pr checkout
  • Any package manager, build, or test command
Worktree carve-out

The shared script worktree-prepare.mjs is allowed to operate only inside ~/.cache/qvac-pr-review/pr-<num>/. It may fetch PR refs, add/remove worktrees, reset tracked files, and clean untracked artifacts on SHA drift.

The agent may run non-e2e package manager/build/test commands only inside the prepared worktree path printed by worktree-prepare.mjs.

For every selected tier, agent-owned package validation must prepare the touched package root before examples or non-e2e tests run. If discovery reports commands.install or commands.build, include those setup commands first in the proposed command plan and execute them first from the package cwd.

Workflow

Track this checklist:

text
- [ ] 0a. Prepare worktree with worktree-prepare.mjs
- [ ] 0b. Discover packages/scripts/tests with pr-test-discover.mjs
- [ ] 1. Present recommendation and tier menu
- [ ] 2. Ask user to select tier and mobile platform when needed
- [ ] 3. Print proposed command sequence
- [ ] 4a. Run agent-owned setup/examples when safe and applicable
- [ ] 4b. If SDK e2e is included: stop and ask user to run the printed e2e setup + e2e command block
- [ ] 4c. If SDK e2e is not included: ask approval, then execute remaining commands
- [ ] 5. Analyze logs/reports
- [ ] 6. Summarize pass/fail and next action
0a. Prepare worktree

Run:

bash
node .agents/skills/_lib/pr-skills/worktree-prepare.mjs <PR-URL>

Parse stdout:

text
WORKTREE_PATH=<absolute path>
HEAD_SHA=<sha>
PATCH_PATH=<absolute path to patch>
BASE_REF=<remote>/<baseRefName>

If stderr contains WORKTREE_FALLBACK=<reason>, use fallback mode:

  • Fetch/read files via GitHub API if needed.
  • Let pr-test-discover.mjs fetch the patch with gh pr diff --patch into the platform temp directory when PATCH_PATH is unavailable.
  • Tell the user that worktree preparation failed and local command execution is unavailable unless they want to retry.
0b. Discover test options

Run:

bash
node .agents/skills/_lib/pr-skills/pr-test-discover.mjs <PR-URL> --worktree <WORKTREE_PATH> --head-sha <HEAD_SHA> --patch <PATCH_PATH>

The helper emits a JSON manifest with:

  • recommendation.recommendedTier
  • recommendation.recommendationReason
  • touchedPackages[]
  • touchedPackages[].scripts
  • touchedPackages[].commands
  • touchedPackages[].addedOrModifiedExamples
  • touchedPackages[].exampleCommands
  • touchedPackages[].relatedExampleCommands
  • touchedPackages[].addedOrModifiedTests
  • touchedPackages[].relatedTests
  • touchedPackages[].sdkE2eSetup — on the SDK package, and also on packages/inference if it's touched (a local inference build only reaches e2e through the SDK's setup, not a standalone inference build)

Discovery is based on committed PR state only. Do not run git diff, git status, or git ls-files --modified inside the worktree for classification.

Use touchedPackages[].commands.install and touchedPackages[].commands.build as package-root setup steps for all executable tiers. These setup commands belong before changed examples, related examples, non-SDK tests, or SDK manual e2e command blocks.

Tier Ladder

All tiers include necessary install/build setup for the touched package roots.

  • T1 - examples: run package-root install/build setup, then added/modified examples. If no examples were added or modified, mark the examples step not applicable.
  • T2 - changed e2e/tests on desktop: SDK runs changed e2e tests on desktop. Non-SDK runs the smallest unit-level package script (test:unit or test), or first available test:*.
  • T3 - changed e2e/tests on mobile: SDK adds changed e2e on selected mobile platform (android or ios). Non-SDK uses mobile scripts only if package.json exposes them.
  • T4 - smoke desktop: SDK runs --suite smoke on desktop. Non-SDK advances to the next least-to-most-complete script if one exists.
  • T5 - smoke mobile: SDK runs --suite smoke on selected mobile platform. Non-SDK uses mobile scripts only if package.json exposes them.
  • T6 - full desktop: SDK runs the full desktop suite. Non-SDK runs test:all if present, otherwise all applicable test:* scripts in increasing completeness order.
  • T7 - full mobile: SDK runs the full selected mobile suite. Non-SDK uses mobile/full scripts only if package.json exposes them.

T2 and every higher tier are additive over T1. If exampleCommands is non-empty, the proposed command plan for T1/T2/T3/T4/T5/T6/T7 MUST include package-root install/build setup first, then every changed example command before the e2e/smoke/full test command. Do not summarize examples as "applicable" without emitting runnable commands. Changed helper files under examples, such as shared.ts or utils.ts, should be listed as supporting files but not emitted as runnable commands.

Related examples and tests are bundled into the existing tiers as proposal items, not separate options:

  • relatedExampleCommands are examples that appear semantically related to the changed paths. Prefer safe examples first: no obvious required input/device and no obvious output-file generation. Present them after changed examples as "related examples proposed by discovery", and let the user deselect them before agent execution.
  • relatedTests are existing SDK e2e filters related to the changed paths. If no e2e files changed, use the highest-scoring related filter as the proposed T2 filter. If e2e files did change, show related filters as optional additions.
  • Example: a transcription SDK change should propose transcription examples and the transcription e2e filter even if the PR did not edit those files directly.

Changed examples are agent-run steps after package-root install/build setup succeeds. SDK e2e setup is not agent-run; hand it to the user together with the e2e command because it requires npm auth.

T6/T7 replace the smoke step from T4/T5. T1-T3 still run unchanged.

Recommendation policy

Always show the recommendation before the tier prompt. The user can override it.

  • SDK (packages/sdk) default: recommend T2. This covers install/build, changed examples if present, and changed e2e on desktop. Mobile is opt-in because it is slower and usually covered by CI.
  • Non-SDK default: recommend the smallest tier that includes at least unit-level validation. Usually T2.
  • packages/inference touched: discovery attaches sdkE2eSetup / sdkE2eCwd to it, but inference has no e2e or examples of its own, so the non-SDK default above would leave the setup command with nothing to run after it. Pair it with an SDK e2e run in sdkE2eCwd and recommend T4 (--suite smoke on desktop) — that is what CI runs for an inference change, and with no changed e2e files T2 has no filter to work from. If the PR also touches packages/sdk/e2e, use that package's changed tests / relatedTests filter instead.
  • No examples: if no changed or related examples are discovered, mark examples not applicable.
  • No tests discovered: recommend install/build only and ask the user to confirm build-only validation.
  • Mixed PRs: recommend the highest minimum required by any touched package. Example: SDK + addon changes means SDK T3 plus addon unit scripts.

Use AskQuestion for tier selection. Ask for android or ios only when the recommended or selected tier includes mobile (T3, T5, or T7).

The tier prompt MUST include T1 whenever exampleCommands or relatedExampleCommands is non-empty, even when the recommended tier is higher. Do not hide lower additive tiers. If examples are absent, show T1 as not applicable or omit it with an explicit "no changed or related examples" note in the plan.

Before executing examples, show both changed and related example commands. Related examples are proposed, not mandatory; use AskQuestion to let the user choose which related examples to include when any are present.

Show full SKILL.md (643 more words)Show less

SDK-specific handling

SDK changed examples may be agent-run inside the prepared worktree after the SDK package root has been installed and built.

SDK e2e setup and e2e commands are manual/user-run:

  • npm run install:build
  • npm run install:build:full
  • npx qvac-test run:local:*

Do not execute those agentically. e2e setup needs npm/GitHub Packages auth that is not available in the agent context, and SDK e2e commands are device/broker-dependent and may run for a long time.

SDK e2e setup

For any SDK e2e command, run setup from packages/sdk/e2e first, using the exact command from touchedPackages[].sdkE2eSetup.command in the discovery manifest — do not re-derive it from which files changed. It resolves to install:build:full whenever the PR touches packages/sdk outside e2e/ or packages/inference at all, even if packages/inference itself has no diff lines: CI always builds packages/inference from the branch for SDK e2e (inference-source: branch is unconditional in on-pr-test-sdk.yml), because the checked-out packages/inference can already be ahead of the last npm publish from unrelated merged PRs — testing the branch's SDK against the published range (what install:build alone would do) can silently diverge from what CI tests. Only a PR limited to packages/sdk/e2e/ resolves to the lighter install:build.

Do not skip setup based on assumed previous state. The PR worktree is treated as clean/synchronized, and SDK e2e validation must prepare the test package explicitly.

Do not separately run bun install or bun run build in packages/sdk before SDK e2e unless the chosen tier also includes non-e2e SDK example validation that specifically needs it.

SDK e2e manual execution

For SDK e2e tiers, print the e2e setup command and e2e command for the user to run manually. The agent must not run npm run install:build, npm run install:build:full, or npx qvac-test run:local:* from packages/sdk/e2e.

Generate commands for the user's shell/OS. Do not assume POSIX-only utilities or paths. In particular:

  • Use paths emitted by the discovery manifest; they are platform-specific.
  • Use mkdir -p only for POSIX shells. For PowerShell, use New-Item -ItemType Directory -Force.
  • Prefer environment variable syntax for the user's shell (export NAME=... for POSIX, $env:NAME = "..." for PowerShell).
  • If unsure which shell the user will run manually, provide both POSIX and PowerShell variants.

Run ID format:

text
pr-<num>-<headSha7>-<tier>-<platform-or-desktop>

Report directory:

text
<WORKTREE_PATH>/packages/sdk/e2e/reports/<runId>/

Manual command block shape for POSIX shells:

sh
export QVAC_PR_TEST_RUN_ID=pr-1234-abcdef0-t3-android
export QVAC_PR_TEST_REPORT_DIR=<WORKTREE_PATH>/packages/sdk/e2e/reports/$QVAC_PR_TEST_RUN_ID
mkdir -p $QVAC_PR_TEST_REPORT_DIR/logs

cd <WORKTREE_PATH>/packages/sdk/e2e
npm run install:build:full

npx qvac-test run:local:desktop --filter vision- --runId $QVAC_PR_TEST_RUN_ID --report-dir $QVAC_PR_TEST_REPORT_DIR
npx qvac-test run:local:android --filter vision- --runId $QVAC_PR_TEST_RUN_ID --report-dir $QVAC_PR_TEST_REPORT_DIR

Manual command block shape for PowerShell:

powershell
$env:QVAC_PR_TEST_RUN_ID = "pr-1234-abcdef0-t3-android"
$env:QVAC_PR_TEST_REPORT_DIR = "<WORKTREE_PATH>/packages/sdk/e2e/reports/$env:QVAC_PR_TEST_RUN_ID"
New-Item -ItemType Directory -Force "$env:QVAC_PR_TEST_REPORT_DIR/logs"

Set-Location "<WORKTREE_PATH>/packages/sdk/e2e"
npm run install:build:full

npx qvac-test run:local:desktop --filter vision- --runId $env:QVAC_PR_TEST_RUN_ID --report-dir $env:QVAC_PR_TEST_REPORT_DIR
npx qvac-test run:local:android --filter vision- --runId $env:QVAC_PR_TEST_RUN_ID --report-dir $env:QVAC_PR_TEST_REPORT_DIR

Agent-owned SDK setup and changed-example command shape for POSIX shells:

sh
cd <WORKTREE_PATH>/packages/sdk
bun install
bun run build
bun run examples/<changed-example>.ts

Agent-owned SDK setup and changed-example command shape for PowerShell:

powershell
Set-Location "<WORKTREE_PATH>/packages/sdk"
bun install
bun run build
bun run examples/<changed-example>.ts

The user runs the e2e setup command and the qvac-test run:local:* commands. The agent may run changed examples separately only after the required SDK package-root install/build state exists or has been prepared without e2e npm auth.

Do not use script for log capture. It is not portable in this agent environment. For agent-run example steps, rely on terminal output. For user-run setup/e2e, rely on qvac-test's structured --report-dir output first; ask the user to paste terminal output only if setup fails before report files are produced or report files are missing/incomplete. Keep the --runId unchanged.

When the user says the commands finished:

  1. Inspect <WORKTREE_PATH>/packages/sdk/e2e/reports/<runId>/ first. Prefer qvac-test's structured report files over terminal logs.
  2. Read supplemental terminal output only if the agent captured any for setup/example steps, or ask the user to paste terminal output if report files are missing/incomplete.
  3. Summarize failures first, then passes and skipped/not-applicable steps.

Non-SDK execution

For non-SDK packages, show the proposed command list and ask for approval before execution.

Each step must show:

  • cwd
  • command
  • why it is included
  • expected log path

Run commands one at a time inside the worktree. Capture logs to:

text
<platform temp dir>/qvac-pr-test/pr-<num>/<package-name-or-path>/<step>.log

Abort on first non-zero exit unless the user explicitly opted into continuing after failures.

Output format

Before executing or asking the user to run anything, print:

markdown
## PR #<num> - test plan

Recommended tier: <tier>
Reason: <short reason>

Touched packages:
- `<path>` - <kind>, <summary of scripts/examples/tests>

Changed examples:
- `<path>` - runnable/not runnable

Related examples proposed:
- `<path>` - safe/needs input/writes output, include by default? <yes/no>

Related e2e filters proposed:
- `<filter>` - why

Proposed commands:
1. `<cwd>` - `<command>` - <why>

Manual-run required:
<yes/no; if yes, explain SDK e2e must be run by user>

After execution or log analysis, print:

markdown
## PR #<num> - test results

### Failed
<failures first, with log file paths and short error snippets>

### Passed
<passed steps>

### Not applicable
<examples/tests/mobile tiers skipped because absent>

Logs: `<path>`

References

  • Shared worktree prep: .agents/skills/_lib/pr-skills/worktree-prepare.mjs
  • Discovery helper: .agents/skills/_lib/pr-skills/pr-test-discover.mjs
  • Generic discovery helpers: .agents/skills/_lib/pr-skills/pr-test-generic.mjs
  • SDK-specific discovery heuristics: .agents/skills/_lib/pr-skills/pr-test-sdk.mjs
  • Shared worktree library: .agents/skills/_lib/pr-skills/worktree.mjs
  • SDK e2e guidance: packages/sdk/e2e/AGENTS.md
  • SDK e2e scripts: packages/sdk/e2e/package.json
  • SDK e2e docs: packages/sdk/e2e/README.md

© tetherto, Apache-2.0. 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 1 other file in .agents/skills/qv-pr-test of tetherto/qvac.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit c3a6030

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Works with

Questions about Qv PR Test

What does Qv PR Test do?

Plan and run local PR validation for tetherto/qvac PRs. An agent skill from tetherto/qvac. Qv PR Test is an agent skill from tetherto/qvac. Plan and run local PR validation for tetherto/qvac PRs.

When should I use Qv PR Test?

Qv PR Test fits situations like: invoking /qv-pr-test; tasks that involve Git worktrees.

How do I install Qv PR Test in Claude Code?

Run `npx skills add tetherto/qvac --skill qv-pr-test -a claude-code`. Or copy the skill folder (.agents/skills/qv-pr-test in tetherto/qvac) into .claude/skills/qv-pr-test in your project. Claude Code loads it when a task matches its description.

How do I install Qv PR Test in Codex?

Run `npx skills add tetherto/qvac --skill qv-pr-test -a codex`. Or copy the skill folder (.agents/skills/qv-pr-test in tetherto/qvac) into .agents/skills/qv-pr-test in your project. Codex loads it when a task matches its description.

Can I use Qv PR Test 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 tetherto/qvac --skill qv-pr-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qv-pr-test, .gemini/skills/qv-pr-test, .github/skills/qv-pr-test and .opencode/skills/qv-pr-test in your project.

What does Qv PR Test need to run?

Going by SKILL.md and its folder, Qv PR Test needs the command-line tools its instructions call (git, bun, npm, npx, node and gh). Our summary lists: Node.js.

Does Qv PR Test access the network?

SKILL.md contains no URLs. Its commands use git, npm, npx and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Qv PR Test 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 Qv PR Test use?

Qv PR Test is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qv PR Test use?

About 4.2k tokens (SKILL.md is roughly 17k 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 Qv PR Test?

Skills that share tags, products or a category with Qv PR Test: Squad Git Branching Workflow (microsoft/waza, 1.4k stars), Cabloy Worktree Environment (cabloy/cabloy, 982 stars), Move To Worktree (foyzulkarim/claude-lens, 250 stars) and Git PR Workflow (andymai/brepjs, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qv PR Test?

tetherto (a GitHub organization) maintains it in tetherto/qvac, which has 681 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 7, 2026.

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