
parallel-web-search
CLI-backed web search. Use when the user explicitly invokes this skill, needs CLI-only controls or saved JSON output, or no Parallel websearch MCP tool is available. When the bundled Parallel Search MCP is available, prefer its websearch tool for ordinary lookups and current-information queries. Only use parallel-deep-research if the user explicitly requests deep or exhaustive research.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/parallel-web/parallel-agent-skills --skill parallel-web-search- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads parallel-web-search automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Web Search
Search the web for: $ARGUMENTS
Command
Choose a short, descriptive filename based on the query (e.g., ai-chip-news, react-vs-vue). Use lowercase with hyphens, no spaces. Substitute it into the command inline — $FILENAME and <keyword> below are placeholders, not shell variables; do not copy them verbatim.
parallel-cli search "$ARGUMENTS" -q "<keyword1>" -q "<keyword2>" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/$FILENAME.json"
Concrete example for a query about React 19:
parallel-cli search "latest React 19 features and adoption" -q "React 19" -q "concurrent rendering" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/react-19-features.json"
The first argument is the objective — a natural language description of what you're looking for. It replaces multiple keyword searches with a single call for broad or complex queries. Add -q flags for specific keyword queries to supplement the objective. The -o flag saves the full results to a JSON file for follow-up questions.
Options if needed:
--after-date YYYY-MM-DDfor time-sensitive queries--include-domains domain1.com,domain2.comto limit to specific sources--exclude-domains domain.comto filter out noisy sources--mode turbofor simple fact lookups where speed matters most; supports English and Japanese queries--mode fastfor high-quality search within an approximately one-second latency budget; requires CLI ≥ 0.9.2, and latency is not guaranteed--mode advancedfor harder questions (multi-step, agentic search). Keep the defaultbasicunless the request needs another mode--location us(ISO 3166-1 alpha-2) for geo-targeted results--session-id "<returned-session-id>"to group related Search/Extract calls when a prior response returned one. Asession_idorsearch_idis not a Task interaction ID or research run ID; never send it to research status/poll or--previous-interaction-id
Parsing results
Read the saved -o JSON file as the authoritative payload. Result and excerpt limits bound requested content, but stdout can still exceed the tool's output limit. Truncated stdout is not parseable JSON and is not proof of incomplete saved results. Inspect an existing output path before using it because Search overwrites that file. For each result, extract:
- title, url, and publish_date if provided; omit unknown dates
- Useful content from excerpts (skip navigation noise like menus, footers, "Skip to content")
Check the exit status, returned API error and warnings before presenting results. On an error or empty results, report what happened and do not fabricate an answer. An old output file is not evidence that a failed request succeeded. For sparse results, state the coverage limits; refine the objective or queries only when useful for the user's request.
Response format
CRITICAL: Every claim must have an inline citation. Use markdown links like Title pulling only from the JSON output. Never invent or guess URLs.
Synthesize a response that:
- Leads with the key answer/finding
- Includes specific facts, names, numbers, dates
- Cites every fact inline as Source Title — do not leave any claim uncited
- Organizes by theme if multiple topics
End with a Sources section listing every URL referenced:
Sources:
- [Source Title](https://example.com/article) (Feb 2026)
- [Another Source](https://example.com/other) (Jan 2026)
This Sources section is mandatory. Do not omit it.
Only include source dates that were returned or verified in the retrieved content. Leave the date out when unknown.
After the Sources section, mention the output file path (/tmp/$FILENAME.json) so the user knows it's available for follow-up questions.
Setup
If parallel-cli is not found, install and authenticate:
/parallel:parallel-cli-setup
If a documented command or option is missing, check the installed version and upgrade through its installation method: standalone parallel-cli update, pipx pipx upgrade parallel-web-tools, uv uv tool upgrade parallel-web-tools, Homebrew brew upgrade parallel-web/tap/parallel-cli, or npm npm update -g parallel-web-cli. Verify help in the same terminal before retrying.
For authentication errors, inspect parallel-cli auth --json and its authenticated boolean; exit zero alone does not prove authentication. A 403 can indicate permissions, policy or billing. Report the actual error; check balance only for a billing-specific failure and never add funds without explicit confirmation.
FAQ
What does the parallel-web-search skill do?
CLI-backed web search. Use when the user explicitly invokes this skill, needs CLI-only controls or saved JSON output, or no Parallel websearch MCP tool is available. When the bundled Parallel Search MCP is available, prefer its websearch tool for ordinary lookups and current-information queries. Only use parallel-deep-research if the user explicitly requests deep or exhaustive research.
How do I install parallel-web-search?
Run npx skills add https://github.com/parallel-web/parallel-agent-skills --skill parallel-web-search in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/parallel-web-search/ (personal) or .claude/skills/parallel-web-search/ (project).
Which AI agents can use parallel-web-search?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is parallel-web-search safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains parallel-web-search?
It is published by parallel-web in parallel-web/parallel-agent-skills, and it is an official skill from the maker of the technology it covers. It has 14,479 recorded installs.
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