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Get Started Free →Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
.claude/skills/dicklesworthstone-brave-search/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-10 | ✗→✓ | ▲ Improved | -69% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -58% | 0% |
| case-19 | ✗→✓ | ▲ Improved | -35% | 0% |
| case-11 | ✓→✓ | = Same ✓ | -45% | 0% |
| case-23 | ✓→✓ | = Same ✓ | -28% | 0% |
Headless web search and content extraction using Brave Search API. No browser or setup required.
BRAVE_API_KEY environment variablebash{baseDir}/search.py "query" # Basic search (5 results) {baseDir}/search.py "query" -n 10 # More results {baseDir}/search.py "query" --content # Include page content as markdown {baseDir}/search.py "query" -n 3 --content # Combined
bash{baseDir}/content.py https://example.com/article
Fetches a URL and extracts readable content as markdown.
--- Result 1 ---
Title: Page Title
Link: https://example.com/page
Snippet: Description from search results
Content: (if --content flag used)
Markdown content extracted from the page...
--- Result 2 ---
...DO NOT use Brave Search for these URLs. Use the correct tool instead:
gh CLI instead (e.g., gh api, gh repo view, gh issue view, etc.).md file URLs: ALWAYS use curl to fetch the raw file content directly (e.g., curl -sL https://example.com/docs/guide.md).md files — see above)| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-21 | fail→fail | 4,438 | 6,304 | +42% | 1 | 1 | 0% | 179 | 698 | +290% | 0 | 0 | — |
case-01 | fail→fail | 7,844 | 7,265 | -7% | 1 | 1 | 0% | 593 | 697 | +18% | 0 | 0 | — |
case-02 | fail→fail | 5,993 | 6,960 | +16% | 1 | 1 | 0% | 280 | 783 | +180% | 0 | 0 | — |
case-03 | fail→fail | 5,613 | 8,861 | +58% | 1 | 1 | 0% | 221 | 1,167 | +428% | 0 | 0 | — |
case-04 | fail→fail | 5,345 | 6,257 | +17% | 1 | 1 | 0% | 221 | 765 | +246% | 0 | 0 | — |
case-05 | fail→fail | 5,275 | 11,419 | +116% | 1 | 1 | 0% | 220 | 1,864 | +747% | 0 | 0 | — |
case-06 | fail→fail | 5,190 | 5,559 | +7% | 1 | 1 | 0% | 240 | 659 | +175% | 0 | 0 | — |
case-07 | fail→fail | 5,226 | 7,968 | +52% | 1 | 1 | 0% | 241 | 949 | +294% | 0 | 0 | — |
case-08 | fail→fail | 22,128 | 4,820 | -78% | 1 | 1 | 0% | 3,974 | 678 | -83% | 0 | 0 | — |
case-09 | fail→fail | 4,916 | 5,621 | +14% | 1 | 1 | 0% | 279 | 756 | +171% | 0 | 0 | — |
case-10 | fail→pass | 12,073 | 1,559 | -87% | 1 | 1 | 0% | 2,000 | 625 | -69% | 0 | 0 | — |
case-11 | pass→pass | 7,453 | 1,969 | -74% | 1 | 1 | 0% | 1,255 | 688 | -45% | 0 | 0 | — |
case-23 | pass→pass | 9,816 | 14,569 | +48% | 1 | 1 | 0% | 1,700 | 1,218 | -28% | 0 | 0 | — |
case-12 | fail→pass | 9,757 | 1,703 | -83% | 1 | 1 | 0% | 1,607 | 682 | -58% | 0 | 0 | — |
case-13 | fail→fail | 8,816 | 1,578 | -82% | 1 | 1 | 0% | 1,160 | 647 | -44% | 0 | 0 | — |
case-14 | fail→fail | 24,036 | 1,926 | -92% | 1 | 1 | 0% | 4,196 | 681 | -84% | 0 | 0 | — |
case-15 | pass→pass | 9,603 | 3,335 | -65% | 1 | 1 | 0% | 1,741 | 987 | -43% | 0 | 0 | — |
case-22 | fail→fail | 22,299 | 12,802 | -43% | 1 | 1 | 0% | 3,650 | 1,788 | -51% | 0 | 0 | — |
case-16 | pass→pass | 3,826 | 1,777 | -54% | 1 | 1 | 0% | 693 | 733 | +6% | 0 | 0 | — |
case-17 | pass→pass | 4,343 | 2,877 | -34% | 1 | 1 | 0% | 682 | 975 | +43% | 0 | 0 | — |
case-18 | pass→pass | 6,161 | 2,119 | -66% | 1 | 1 | 0% | 1,063 | 714 | -33% | 0 | 0 | — |
case-19 | fail→pass | 7,844 | 2,892 | -63% | 1 | 1 | 0% | 1,415 | 924 | -35% | 0 | 0 | — |
case-20 | fail→fail | 6,204 | 6,998 | +13% | 1 | 1 | 0% | 211 | 618 | +193% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 11 counted toward the lift figure. The other 12 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +13 percentage points is the difference between those two pass rates over the 11 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.