Agent skill

Browser QA Repro Loop

by holaboss-ai in holaboss-ai/holaOS

Validates or debugs a workflow in the embedded browser with a reproducible, evidence-first loop that separates product failures from wait or locator problems.

Custom licenceAuto-check passedTesting & QA

Install Browser QA Repro Loop

skills CLI
$ npx skills add holaboss-ai/holaOS --skill browser-qa -a claude-code

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

GitHub CLI
$ gh skill install holaboss-ai/holaOS browser-qa --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/holaboss-ai/holaOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/harnesses/src/embedded-skills/browser-qa .claude/skills/browser-qa && 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
browser-qa
GitHub stars
11k
Token cost
~712 tokens
SKILL.md length
363 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
Custom licence

At a glance

Validates or debugs a workflow in the embedded browser with a reproducible, evidence-first loop that separates product failures from wait or locator problems.

  • Works in 5 steps: State the exact starting page, tab, and… → Use the cheapest path that can reproduce… → After each page-changing step, use… → …
  • Reproducing a browser bug with as few tool calls as possible
  • SKILL.md covers Goals, Repro Loop, Tool Discipline and Evidence Rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The agent states the exact starting page, tab and account state, takes the cheapest path that reproduces the behavior, and uses explicit waits after each page-changing step. When a step fails it sorts the cause into wrong target, stale target, missing wait, auth or session state, or true product behavior, and it captures evidence only once the failure is stable.

Tool guidance favors `browser_act` with `wait_for`, `browser_find` for known targets and compact `browser_get_state` for orientation, with console, error and request tools used only after the cheaper paths fail. Storage and cookie reads can check auth state, and the setters are for controlled repair only. Screenshots are for visual ambiguity, page text is read only when content matters, and the final report keeps the exact failing target, wait, URL and observed result. The excerpt ends in the final reporting section.

When your agent uses it

  • Reproducing a browser bug with as few tool calls as possible
  • Telling a real product failure from a bad locator or missing wait
  • Checking a regression in the embedded browser and reporting the evidence

Example prompts

  • “Reproduce the checkout button failing on the cart page and tell me whether it is a real bug or a timing problem.”
  • “Find out why the login flow loops back to the sign-in screen and capture only the evidence that matters.”
  • “Verify that the CSV export download completes in the embedded browser.”

Requirements

  • The workspace's embedded browser tools, such as `browser_act` and `browser_find`

Workflow steps

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

  1. State the exact starting page, tab, and account state you are testing.
  2. Use the cheapest path that can reproduce the behavior.
  3. After each page-changing step, use explicit waits rather than repeated broad state reads.
  4. If a step fails, determine whether it is
  5. Capture evidence only after the failure is stable and reproducible.

What it can do on your machine

Read from SKILL.md and the folder at commit 4684714. 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.

    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

Browser QA Repro Loop loads about 712 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~712

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 363 words (~712 tokens).

“Use this skill when the task is browser validation, repro, regression checking, or investigation in the workspace-embedded browser.”

— opening of SKILL.md by holaboss-ai, Custom licence
name
browser-qa

Read the full SKILL.md on GitHub

Files

Just SKILL.md in runtime/harnesses/src/embedded-skills/browser-qa of holaboss-ai/holaOS.

Open the folder on GitHubat commit 4684714

Compare with similar skills

Browser QA Repro Loop 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.

Browser QA Repro Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Browser QA Repro Loop this skillholaboss-ai/holaOS11k—~712Automated safety check: PassCustom licence
Dogfood Exploratory QAvercel-labs/agent-browser44k8 repos~2.7kAutomated safety check: PassApache-2.0
Hands On Testktnyt/cclsp675—~1.7kAutomated safety check: PassMIT
Diff-Driven Smoke TestsSkyvern-AI/skyvern23k—~5.2kAutomated safety check: PassAGPL-3.0
Dogfoodredf0x1/camofox-browser411—~1.2kAutomated safety check: PassMIT
Diff-Driven QASkyvern-AI/skyvern23k—~4.7kAutomated safety check: WarnAGPL-3.0

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Categories

Questions about Browser QA Repro Loop

What does Browser QA Repro Loop do?

Validates or debugs a workflow in the embedded browser with a reproducible, evidence-first loop that separates product failures from wait or locator problems. The agent states the exact starting page, tab and account state, takes the cheapest path that reproduces the behavior, and uses explicit waits after each page-changing step. When a step fails it sorts the cause into wrong target, stale target, missing wait, auth or session state, or true product behavior, and it captures evidence only once the failure is stable.

When should I use Browser QA Repro Loop?

Browser QA Repro Loop fits situations like: reproducing a browser bug with as few tool calls as possible; telling a real product failure from a bad locator or missing wait; checking a regression in the embedded browser and reporting the evidence.

How do I install Browser QA Repro Loop in Claude Code?

Run `npx skills add holaboss-ai/holaOS --skill browser-qa -a claude-code`. Or copy the skill folder (runtime/harnesses/src/embedded-skills/browser-qa in holaboss-ai/holaOS) into .claude/skills/browser-qa in your project. Claude Code loads it when a task matches its description.

How do I install Browser QA Repro Loop in Codex?

Run `npx skills add holaboss-ai/holaOS --skill browser-qa -a codex`. Or copy the skill folder (runtime/harnesses/src/embedded-skills/browser-qa in holaboss-ai/holaOS) into .agents/skills/browser-qa in your project. Codex loads it when a task matches its description.

Can I use Browser QA Repro Loop 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 holaboss-ai/holaOS --skill browser-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/browser-qa, .gemini/skills/browser-qa, .github/skills/browser-qa and .opencode/skills/browser-qa in your project.

What does Browser QA Repro Loop need to run?

SKILL.md names no scripts, command-line tools or credentials: Browser QA Repro Loop is instructions for the agent only. Our summary lists: The workspace's embedded browser tools, such as `browser_act` and `browser_find`.

Does Browser QA Repro Loop 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 Browser QA Repro Loop 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 Browser QA Repro Loop use?

Browser QA Repro Loop 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 Browser QA Repro Loop use?

About 712 tokens (SKILL.md is roughly 2.8k 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 Browser QA Repro Loop?

Skills that share tags, products or a category with Browser QA Repro Loop: Dogfood Exploratory QA (vercel-labs/agent-browser, 44k stars), Hands On Test (ktnyt/cclsp, 675 stars), Diff-Driven Smoke Tests (Skyvern-AI/skyvern, 23k stars) and Dogfood (redf0x1/camofox-browser, 411 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Browser QA Repro Loop?

holaboss-ai (a GitHub organization) maintains it in holaboss-ai/holaOS, which has 11,451 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on August 21, 2026.

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