Agent Browser
quran/quran.com-frontend-next
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Add or update runnable use-case recipes for existing System1-Agents agents, with setup, inference-backend configuration, independent result checks, demo evidence and troubleshooting.
Install Add Agent Recipe
$ npx skills add ThinkFlowLab/system1-agents --skill add-agent-recipe -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkFlowLab/system1-agents add-agent-recipe --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/ThinkFlowLab/system1-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-agent-recipe .claude/skills/add-agent-recipe && 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 "add-agent-recipe" agent skill from https://github.com/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipe into .claude/skills/add-agent-recipe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-agent-recipe", 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/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipeType 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 ThinkFlowLab/system1-agents --skill add-agent-recipe -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkFlowLab/system1-agents add-agent-recipe --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkFlowLab/system1-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/add-agent-recipe .agents/skills/add-agent-recipe && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "add-agent-recipe" agent skill from https://github.com/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipe into .agents/skills/add-agent-recipe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-agent-recipe", 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 ThinkFlowLab/system1-agents --skill add-agent-recipe -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkFlowLab/system1-agents add-agent-recipe --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkFlowLab/system1-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/add-agent-recipe .cursor/skills/add-agent-recipe && 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 "add-agent-recipe" agent skill from https://github.com/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipe into .cursor/skills/add-agent-recipe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-agent-recipe", 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/ThinkFlowLab/system1-agents.git --path .agents/skills/add-agent-recipe--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 ThinkFlowLab/system1-agents --skill add-agent-recipe -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkFlowLab/system1-agents add-agent-recipe --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkFlowLab/system1-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/add-agent-recipe .gemini/skills/add-agent-recipe && 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 "add-agent-recipe" agent skill from https://github.com/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipe into .gemini/skills/add-agent-recipe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-agent-recipe", 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 ThinkFlowLab/system1-agents add-agent-recipeInstalls 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 ThinkFlowLab/system1-agents --skill add-agent-recipe -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkFlowLab/system1-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/add-agent-recipe .github/skills/add-agent-recipe && 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 "add-agent-recipe" agent skill from https://github.com/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipe into .github/skills/add-agent-recipe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-agent-recipe", 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 ThinkFlowLab/system1-agents --skill add-agent-recipe -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkFlowLab/system1-agents add-agent-recipe --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkFlowLab/system1-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/add-agent-recipe .opencode/skills/add-agent-recipe && 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 "add-agent-recipe" agent skill from https://github.com/ThinkFlowLab/system1-agents/tree/main/.agents/skills/add-agent-recipe into .opencode/skills/add-agent-recipe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-agent-recipe", 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
add-agent-recipe- GitHub stars
- 129
- Token cost
- ~797 tokens
- SKILL.md length
- 365 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Add or update runnable use-case recipes for existing System1-Agents agents, with setup, inference-backend configuration, independent result checks, demo evidence and troubleshooting.
- Recipe authoring
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Use build-s1a-agent when the task needs a new agent implementation
What it does
Add Agent Recipe is an agent skill from ThinkFlowLab/system1-agents. Add or update runnable use-case recipes for existing System1-Agents agents, with setup, inference-backend configuration, independent result checks, demo evidence and troubleshooting. Use for recipe authoring; use build-s1a-agent when the task needs a new agent implementation.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation. The repository describes itself as: System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics. The licence is Apache-2.0.
When your agent uses it
- Recipe authoring
- Use build-s1a-agent when the task needs a new agent implementation
Example prompts
- “/add-agent-recipe”
What it can do on your machine
Read from SKILL.md and the folder at commit 414beac. 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
Add Agent Recipe loads about 797 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 365 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 ThinkFlowLab/system1-agents at commit 414beac, republished under its Apache-2.0 licence (© ThinkFlowLab). 365 words, ~797 tokens.
Download SKILL.mdSave it as
.claude/skills/add-agent-recipe/SKILL.md (or your agent's skills folder).- name
- add-agent-recipe
- description
- Add or update runnable use-case recipes for existing System1-Agents agents, with setup, inference-backend configuration, independent result checks, demo evidence and troubleshooting. Use for recipe authoring; use build-s1a-agent when the task needs a new agent implementation.
Add an agent use-case recipe
Read the target checkout's local instructions, CONTRIBUTING.md,
recipe index and template.
Recipes live at recipes/<use-case>/README.md, with small safe fixtures beside them.
Resolve the concrete task, existing agent/front and observable completion check. Trace its state source,
enumerated choices, execution tools and evaluator; do not assume a DONE signal establishes success.
If it needs a new runtime behavior or backend integration, identify that separate scope before presenting
a runnable recipe for it.
Check the actual CLI, extras, environment precedence and artifact paths. State the decision model's checkpoint/revision and library or serving engine separately from the chat model's role. For System1-Omni, verify both worker support and the agent client's modality/question/window/hardware contract. Pin both repositories and record a missing client or configuration instead of inventing a supported command.
Write one complete setup → run → verify path, then clearly identified alternatives. Use a bounded task and independent result check; include errors, incomplete work and incorrect actions in the check. Label key-free rule/scripted controls separately from learned-model inference. State required credentials by variable name and expected downloads or external calls. Keep demonstrations outside measured benchmark runs.
Validate links, fixture schema and example flags against the implementation. Exercise the recipe only within the task's authorized resources and budgets; follow applicable GPU reservation and experiment rules. Record source revisions/local modifications, fixture hashes, environment, exact commands and raw results. Label command-only checks and untested profiles explicitly. One working demo is not a quality or performance claim.
Show full SKILL.md (124 more words)Show less
Prepare the demo using the video guide, including captions, trace links and actual engine provenance. For important PRs, require a video of the application/task, System1-Agents decision-model agent and System1-Omni inference in the same run, as in the linked PR #35 example. Choose the relevant computer/browser/embodied/game/routing/guardrail application from the guide's README candidates. A rule control or in-process run does not fulfill that requirement. Record missing support/resources as a review gap and keep the PR draft unless a maintainer accepts the documented exception. Retain failures, interventions and replay speed/source. Add the recipe to the index and link reusable shared documentation rather than copying it. Use the self-review skill for the final contributor report. Recipe authoring does not itself authorize live model calls, downloads or external publication.
© ThinkFlowLab, 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
Just SKILL.md in .agents/skills/add-agent-recipe of ThinkFlowLab/system1-agents.
Open the folder on GitHubat commit 414beac
Compare with similar skills
Add Agent Recipe 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 |
|---|---|---|---|---|---|---|
| Add Agent Recipe this skillThinkFlowLab/system1-agents | 129 | — | ~797 | Automated safety check: Pass | Apache-2.0 | |
| Agent Browserquran/quran.com-frontend-next | 1.9k | 40 repos | ~3.3k | Automated safety check: Pass | None | |
| Dependency Watchtelegramdesktop/tdesktop | 33k | 1 repos | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Perform Tasktelegramdesktop/tdesktop | 33k | 2 repos | ~3k | Automated safety check: Pass | GPL-3.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 5 repos | ~592 | Automated safety check: Pass | MIT | |
| Garden Inboxpaperclipai/paperclip | 99k | — | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Add Agent Recipe
What does Add Agent Recipe do?
Add or update runnable use-case recipes for existing System1-Agents agents, with setup, inference-backend configuration, independent result checks, demo evidence and troubleshooting. Add Agent Recipe is an agent skill from ThinkFlowLab/system1-agents. Add or update runnable use-case recipes for existing System1-Agents agents, with setup, inference-backend configuration, independent result checks, demo evidence and troubleshooting.
When should I use Add Agent Recipe?
Add Agent Recipe fits situations like: recipe authoring; use build-s1a-agent when the task needs a new agent implementation.
How do I install Add Agent Recipe in Claude Code?
Run `npx skills add ThinkFlowLab/system1-agents --skill add-agent-recipe -a claude-code`. Or copy the skill folder (.agents/skills/add-agent-recipe in ThinkFlowLab/system1-agents) into .claude/skills/add-agent-recipe in your project. Claude Code loads it when a task matches its description.
How do I install Add Agent Recipe in Codex?
Run `npx skills add ThinkFlowLab/system1-agents --skill add-agent-recipe -a codex`. Or copy the skill folder (.agents/skills/add-agent-recipe in ThinkFlowLab/system1-agents) into .agents/skills/add-agent-recipe in your project. Codex loads it when a task matches its description.
Can I use Add Agent Recipe 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 ThinkFlowLab/system1-agents --skill add-agent-recipe -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-agent-recipe, .gemini/skills/add-agent-recipe, .github/skills/add-agent-recipe and .opencode/skills/add-agent-recipe in your project.
What does Add Agent Recipe need to run?
SKILL.md names no scripts, command-line tools or credentials: Add Agent Recipe is instructions for the agent only.
Does Add Agent Recipe 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 Add Agent Recipe 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 Add Agent Recipe use?
Add Agent Recipe 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 Add Agent Recipe use?
About 797 tokens (SKILL.md is roughly 3.2k 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 Add Agent Recipe?
Skills that share tags, products or a category with Add Agent Recipe: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Dependency Watch (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Add Agent Recipe?
ThinkFlowLab (a GitHub organization) maintains it in ThinkFlowLab/system1-agents, which has 129 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 10, 2026.
Source: ThinkFlowLab/system1-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.