Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
A skill your agent uses when benchmarking browsing-skills actions, comparing a maintained site skill against a no-skill browser agent, measuring OpenAI API token usage, wall time, API calls…
Install Benchmark Browsing Skills
$ npx skills add browsing-skills/browsing-skills --skill benchmark-browsing-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install browsing-skills/browsing-skills benchmark-browsing-skills --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/browsing-skills/browsing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/benchmark-browsing-skills .claude/skills/benchmark-browsing-skills && 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 "benchmark-browsing-skills" agent skill from https://github.com/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skills into .claude/skills/benchmark-browsing-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-browsing-skills", 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/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skillsType 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 browsing-skills/browsing-skills --skill benchmark-browsing-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install browsing-skills/browsing-skills benchmark-browsing-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browsing-skills/browsing-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/benchmark-browsing-skills .agents/skills/benchmark-browsing-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "benchmark-browsing-skills" agent skill from https://github.com/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skills into .agents/skills/benchmark-browsing-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-browsing-skills", 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 browsing-skills/browsing-skills --skill benchmark-browsing-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install browsing-skills/browsing-skills benchmark-browsing-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browsing-skills/browsing-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/benchmark-browsing-skills .cursor/skills/benchmark-browsing-skills && 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 "benchmark-browsing-skills" agent skill from https://github.com/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skills into .cursor/skills/benchmark-browsing-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-browsing-skills", 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/browsing-skills/browsing-skills.git --path .agents/skills/benchmark-browsing-skills--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 browsing-skills/browsing-skills --skill benchmark-browsing-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install browsing-skills/browsing-skills benchmark-browsing-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browsing-skills/browsing-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/benchmark-browsing-skills .gemini/skills/benchmark-browsing-skills && 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 "benchmark-browsing-skills" agent skill from https://github.com/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skills into .gemini/skills/benchmark-browsing-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-browsing-skills", 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 browsing-skills/browsing-skills benchmark-browsing-skillsInstalls 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 browsing-skills/browsing-skills --skill benchmark-browsing-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/browsing-skills/browsing-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/benchmark-browsing-skills .github/skills/benchmark-browsing-skills && 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 "benchmark-browsing-skills" agent skill from https://github.com/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skills into .github/skills/benchmark-browsing-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-browsing-skills", 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 browsing-skills/browsing-skills --skill benchmark-browsing-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install browsing-skills/browsing-skills benchmark-browsing-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browsing-skills/browsing-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/benchmark-browsing-skills .opencode/skills/benchmark-browsing-skills && 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 "benchmark-browsing-skills" agent skill from https://github.com/browsing-skills/browsing-skills/tree/main/.agents/skills/benchmark-browsing-skills into .opencode/skills/benchmark-browsing-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-browsing-skills", 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
benchmark-browsing-skills- GitHub stars
- 117
- Token cost
- ~596 tokens
- SKILL.md length
- 260 words
- Files
- 2 (incl. references)
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when benchmarking browsing-skills actions, comparing a maintained site skill against a no-skill browser agent, measuring OpenAI API token usage, wall time, API calls…
- Works in 6 steps: Identify the website, action, target… → Read only the matching site SKILL.md and… → Run the with-skill API pass with the… → …
- Benchmarking browsing-skills actions
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Comparing a maintained site skill against a no-skill browser agent
What it does
Benchmark Browsing Skills is an agent skill from browsing-skills/browsing-skills. Use when benchmarking browsing-skills actions, comparing a maintained site skill against a no-skill browser agent, measuring OpenAI API token usage, wall time, API calls, browser/tool calls, and result quality. Trigger whenever the user asks to benchmark a browsing skill, compare with/without skill, measure token or time savings, or update benchmark tables in this repo.
Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/api-benchmark-protocol.md`).
It sits in AI & LLM Engineering, covering LLM API integration and Browser automation. It works with OpenAI. The repository describes itself as: Open-source registry of browser-automation skills for AI agents. The licence is MIT.
When your agent uses it
- Benchmarking browsing-skills actions
- Comparing a maintained site skill against a no-skill browser agent
- Measuring OpenAI API token usage
- Browser/tool calls
Example prompts
- “/benchmark-browsing-skills”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Identify the website, action, target URL/query, browser layer, expected output fields, session requirements, and success criteria.
- Read only the matching site SKILL.md and action reference from skills//references/.md; exclude benchmark history and other non-action…
- Run the with-skill API pass with the skill index/reference available.
- Run the without-skill API pass without skill files; provide only browser tools and live page observations.
- Capture tokens, API calls, wall time, browser calls, and result quality for both passes.
- Record results in
What it can do on your machine
Read from SKILL.md and the folder at commit 07855b5. 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
Benchmark Browsing Skills loads about 596 tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 260 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 browsing-skills/browsing-skills at commit 07855b5, republished under its MIT licence (© browsing-skills). 260 words, ~596 tokens.
Download SKILL.mdSave it as
.claude/skills/benchmark-browsing-skills/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- benchmark-browsing-skills
- description
- Use when benchmarking browsing-skills actions, comparing a maintained site skill against a no-skill browser agent, measuring OpenAI API token usage, wall time, API calls, browser/tool calls, and result quality. Trigger whenever the user asks to benchmark a browsing skill, compare with/without skill, measure token or time savings, or update benchmark tables in this repo.
Benchmark Browsing Skills
Use this skill to run and document fair benchmarks for actions in this repo.
The benchmark compares two agents on the same live browser task:
- With skill: loads the site action index plus only the action-facing parts of one action reference, then runs the maintained action code.
- Without skill: receives browser access but no skill/reference, inspects the live page, derives extraction logic, and iterates until success or timeout.
For official numbers, prefer OpenAI API-separated runs over Codex subagents. Subagents are useful for quick qualitative comparisons, but API runs give explicit token accounting and cleaner cost comparison.
Use the same browser layer and session state for both branches. For actions that depend on login, personalization, region, cart state, or existing cookies, prefer Chrome Bridge /run-action against the user's loaded Chrome session. Use Playwright only for public, unauthenticated actions or when you intentionally create an equivalent browser profile for both branches.
Workflow
- Identify the website, action, target URL/query, browser layer, expected output fields, session requirements, and success criteria.
- Read only the matching site
SKILL.mdand action reference fromskills/<domain>/references/<action>.md; exclude benchmark history and other non-action prose from the measured with-skill prompt. - Run the with-skill API pass with the skill index/reference available.
- Run the without-skill API pass without skill files; provide only browser tools and live page observations.
- Capture tokens, API calls, wall time, browser calls, and result quality for both passes.
- Record results in:
BENCHMARKS.md- the site
skills/<domain>/SKILL.mdbenchmark table - the action reference
## Benchmarksection
Read references/api-benchmark-protocol.md before designing or running a benchmark.
© browsing-skills, MIT. 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 (references) in .agents/skills/benchmark-browsing-skills of browsing-skills/browsing-skills.
- SKILL.md
- references/api-benchmark-protocol.md
Open the folder on GitHubat commit 07855b5
Compare with similar skills
Benchmark Browsing Skills 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 |
|---|---|---|---|---|---|---|
| Benchmark Browsing Skills this skillbrowsing-skills/browsing-skills | 117 | — | ~596 | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Agnes Free Textkangarooking/agnes-free-model-skills | 199 | — | ~630 | Automated safety check: Pass | MIT | |
| Openai Docstheowenyoung/home | 115 | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Instructor Structured LLM OutputsOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | — | ~2.8k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Benchmark Browsing Skills
What does Benchmark Browsing Skills do?
A skill your agent uses when benchmarking browsing-skills actions, comparing a maintained site skill against a no-skill browser agent, measuring OpenAI API token usage, wall time, API calls…. Benchmark Browsing Skills is an agent skill from browsing-skills/browsing-skills. Use when benchmarking browsing-skills actions, comparing a maintained site skill against a no-skill browser agent, measuring OpenAI API token usage, wall time, API calls, browser/tool calls, and result quality.
When should I use Benchmark Browsing Skills?
Benchmark Browsing Skills fits situations like: benchmarking browsing-skills actions; comparing a maintained site skill against a no-skill browser agent; measuring OpenAI API token usage; browser/tool calls.
How do I install Benchmark Browsing Skills in Claude Code?
Run `npx skills add browsing-skills/browsing-skills --skill benchmark-browsing-skills -a claude-code`. Or copy the skill folder (.agents/skills/benchmark-browsing-skills in browsing-skills/browsing-skills) into .claude/skills/benchmark-browsing-skills in your project. Claude Code loads it when a task matches its description.
How do I install Benchmark Browsing Skills in Codex?
Run `npx skills add browsing-skills/browsing-skills --skill benchmark-browsing-skills -a codex`. Or copy the skill folder (.agents/skills/benchmark-browsing-skills in browsing-skills/browsing-skills) into .agents/skills/benchmark-browsing-skills in your project. Codex loads it when a task matches its description.
Can I use Benchmark Browsing Skills 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 browsing-skills/browsing-skills --skill benchmark-browsing-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/benchmark-browsing-skills, .gemini/skills/benchmark-browsing-skills, .github/skills/benchmark-browsing-skills and .opencode/skills/benchmark-browsing-skills in your project.
What does Benchmark Browsing Skills need to run?
SKILL.md names no scripts, command-line tools or credentials: Benchmark Browsing Skills is instructions for the agent only.
Does Benchmark Browsing Skills 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 Benchmark Browsing Skills 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 Benchmark Browsing Skills use?
Benchmark Browsing Skills is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Benchmark Browsing Skills use?
About 596 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.
What are the alternatives to Benchmark Browsing Skills?
Skills that share tags, products or a category with Benchmark Browsing Skills: Dingo Verify (MigoXLab/dingo, 757 stars), Agnes Free Text (kangarooking/agnes-free-model-skills, 199 stars), Openai Docs (theowenyoung/home, 115 stars) and Instructor Structured LLM Outputs (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Benchmark Browsing Skills?
browsing-skills (a GitHub organization) maintains it in browsing-skills/browsing-skills, which has 117 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on June 10, 2026.
Source: browsing-skills/browsing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.