Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SkyworkAI/Skywork-Skills --skill skywork-searchgit clone --depth 1 https://github.com/SkyworkAI/Skywork-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/skyworkai/skywork-skills/skywork-search)<a href="https://agentmods.dev/skills/skyworkai/skywork-skills/skywork-search"><img src="https://agentmods.dev/badge/skills/skyworkai/skywork-skills/skywork-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/skyworkai/skywork-skills/skywork-search"><img src="https://agentmods.dev/badge/skills/skyworkai/skywork-skills/skywork-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00184 | $0.00835 |
| Opus 5.5 | $0.00074 | $0.00334 |
| Sonnet 5.5 | $0.00037 | $0.00167 |
| Haiku 4.5 | $0.00018 | $0.00084 |
Grade A, and why
Skywork Search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Search Skill
Search the web for real-time information via the Skywork search API. This skill lets you run up to 3 queries in a single invocation and returns structured results with source URLs and content snippets.
When to use
- The user asks you to research a topic or find current information
- You need up-to-date facts, statistics, or news to answer a question
- Another task (writing a report, creating a PPT, drafting a document) needs web research as a preliminary step
- The user explicitly asks to search or look something up
Prerequisites
API Key Configuration (Required First)
This skill requires a SKYWORK_API_KEY to be configured in OpenClaw.
If you don't have an API key yet, please visit: https://skywork.ai
For detailed setup instructions, see: references/apikey-fetch.md
How to use
Run the bundled script from this skill's scripts/ directory:
python3 <skill-path>/scripts/web_search.py "query1" ["query2"] ["query3"]
- Pass 1–3 search queries as positional arguments
- Results are saved to individual text files in a temporary directory
- The script prints the file paths to stdout so you can read them
Crafting good queries
Search quality depends heavily on query phrasing. A few tips:
- Be specific: "Tesla Q4 2025 revenue" works better than "Tesla financials"
- Use natural language: The API handles full questions well — "What is the current population of Tokyo?" is fine
- Split broad topics: If the user wants a comprehensive overview, break it into 2–3 focused queries rather than one vague one
- Include time context when relevant: "best Python web frameworks 2026" rather than just "best Python web frameworks"
Reading results
After running the script, read the output files. Each file contains:
query: <the original query>
[result-1] <source URL>
<content snippet>
[result-2] <source URL>
<content snippet>
...
Synthesize the results into a clear answer for the user. Always cite sources when presenting factual information — include the URLs from the results so the user can verify.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 92 lines · 184 tokens per session scan A aaeb6e44a6b4
Skywork Search is a skill published in the GitHub repository SkyworkAI/Skywork-Skills (205 stars, last pushed 6mo ago), licensed MIT. It adds 184 tokens to every session and 835 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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