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Agent skill

Browser Harness Agentloom

by linora-u in linora-u/AgentLoom

A skill your agent uses when working on AgentLoom browser-harness integration or debugging applications/browserharnessprobe: creating or updating the probe Application, installing the external…

No licenceAuto-check passedDevelopment

Install Browser Harness Agentloom

skills CLI
$ npx skills add linora-u/AgentLoom --skill browser-harness-agentloom -a claude-code

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

GitHub CLI
$ gh skill install linora-u/AgentLoom browser-harness-agentloom --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/linora-u/AgentLoom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/applications/browser_harness_probe/skills/browser-harness-agentloom .claude/skills/browser-harness-agentloom && 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-harness-agentloom
GitHub stars
168
Token cost
~1.3k tokens
SKILL.md length
335 words
Files
2
Skills in repo
4
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when working on AgentLoom browser-harness integration or debugging applications/browserharnessprobe: creating or updating the probe Application, installing the external…

  • Working on AgentLoom browser-harness integration
  • SKILL.md covers Core Rule, Setup, AgentLoom Environment and Validation Order, plus 2 more sections
  • Calls python, uv and git; reaches github.com; needs BROWSER_USE_API_KEY
  • Debugging applications/browserharnessprobe: creating

What it does

Browser Harness Agentloom is an agent skill from linora-u/AgentLoom. Use when working on AgentLoom browser-harness integration or debugging applications/browserharnessprobe: creating or updating the probe Application, installing the external browser-harness CLI, validating isolated or real Chrome browser control, and diagnosing browser-harness doctor, daemon, Chrome remote debugging, config/llm.yaml, or AgentLoom tool-registration issues.

Its SKILL.md is about 1.3k 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 Browser automation and Debugging. It works with Python. The repository describes itself as: Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.

When your agent uses it

  • Working on AgentLoom browser-harness integration
  • Debugging applications/browserharnessprobe: creating
  • Updating the probe Application
  • Installing the external browser-harness CLI

Example prompts

  • “/browser-harness-agentloom”

Requirements

  • Python 3
  • A credential in BROWSER_USE_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit c657c36. 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:

    • python
    • uv
    • git

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • BROWSER_USE_API_KEY

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

Context cost

Browser Harness Agentloom loads about 1.3k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 335 words (~1,288 tokens).

“Keep browser-harness as an external editable CLI. Do not add it to AgentLoom pyproject.toml or uv.lock.”

— opening of SKILL.md by linora-u
name
browser-harness-agentloom

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in applications/browser_harness_probe/skills/browser-harness-agentloom of linora-u/AgentLoom.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit c657c36

Compare with similar skills

Browser Harness Agentloom 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 Harness Agentloom compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Browser Harness Agentloom this skilllinora-u/AgentLoom168—~1.3kAutomated safety check: PassNone
Browser Automation Edge Casesaden-hive/hive11k—~1.8kAutomated safety check: PassMIT
OpenCLI Adapter Autofixjackwener/OpenCLI30k1 repos~3.2kAutomated safety check: PassApache-2.0
Smart File Writerforyourhealth111-pixel/Vibe-Skills3.6k—~2.6kAutomated safety check: PassApache-2.0
LangBot Plugin Developmentlangbot-app/LangBot18k—~3.9kAutomated safety check: PassApache-2.0
Python Performance Optimizationwshobson/agents40k13 repos~814Automated safety check: PassMIT

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Works with

Categories

Questions about Browser Harness Agentloom

What does Browser Harness Agentloom do?

A skill your agent uses when working on AgentLoom browser-harness integration or debugging applications/browserharnessprobe: creating or updating the probe Application, installing the external…. Browser Harness Agentloom is an agent skill from linora-u/AgentLoom.yaml, or AgentLoom tool-registration issues.

When should I use Browser Harness Agentloom?

Browser Harness Agentloom fits situations like: working on AgentLoom browser-harness integration; debugging applications/browserharnessprobe: creating; updating the probe Application; installing the external browser-harness CLI.

How do I install Browser Harness Agentloom in Claude Code?

Run `npx skills add linora-u/AgentLoom --skill browser-harness-agentloom -a claude-code`. Or copy the skill folder (applications/browser_harness_probe/skills/browser-harness-agentloom in linora-u/AgentLoom) into .claude/skills/browser-harness-agentloom in your project. Claude Code loads it when a task matches its description.

How do I install Browser Harness Agentloom in Codex?

Run `npx skills add linora-u/AgentLoom --skill browser-harness-agentloom -a codex`. Or copy the skill folder (applications/browser_harness_probe/skills/browser-harness-agentloom in linora-u/AgentLoom) into .agents/skills/browser-harness-agentloom in your project. Codex loads it when a task matches its description.

Can I use Browser Harness Agentloom 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 linora-u/AgentLoom --skill browser-harness-agentloom -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-harness-agentloom, .gemini/skills/browser-harness-agentloom, .github/skills/browser-harness-agentloom and .opencode/skills/browser-harness-agentloom in your project.

What does Browser Harness Agentloom need to run?

Going by SKILL.md and its folder, Browser Harness Agentloom needs the command-line tools its instructions call (python, uv and git) and credentials named BROWSER_USE_API_KEY. Our summary lists: Python 3; A credential in BROWSER_USE_API_KEY.

Does Browser Harness Agentloom access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Browser Harness Agentloom 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 Harness Agentloom use?

No licence was found for Browser Harness Agentloom or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Browser Harness Agentloom use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Browser Harness Agentloom?

Skills that share tags, products or a category with Browser Harness Agentloom: Browser Automation Edge Cases (aden-hive/hive, 11k stars), OpenCLI Adapter Autofix (jackwener/OpenCLI, 30k stars), Smart File Writer (foryourhealth111-pixel/Vibe-Skills, 3.6k stars) and LangBot Plugin Development (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Browser Harness Agentloom?

linora-u (a GitHub user) maintains it in linora-u/AgentLoom, which has 168 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 5, 2026.

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