Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →6 web scraping & data collection skills. Trigger: collecting web data, finding datasets, API access for research. Design: ethical scraping methods with rate limiting and data quality checks.
.claude/skills/brycewang-stanford-scraping-skills/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | -52% | 0% |
| case-23 | ✗→✓ | ▲ Improved | -19% | 0% |
| case-02 | ✓→✗ | ▼ Worse | -81% | 0% |
| case-01 | ✓→✗ | ▼ Worse | -81% | 0% |
| case-04 | ✓→✗ | ▼ Worse | -73% | 0% |
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description | |-------|-------------| | academic-web-scraping | Ethical web scraping and API-based data collection for research | | dataset-finder-guide | Search and download research datasets from Kaggle, HuggingFace, and repos | | easy-spider-guide | Guide to EasySpider for visual no-code web data collection | | google-scholar-scraper | Ethical Google Scholar data collection techniques and best practices | | repository-harvesting-guide | Harvest metadata from open repositories using OAI-PMH protocol | | web-scraping-ethics-guide | Scrape web data ethically and legally for research purposes |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | pass→fail | 20,445 | 5,958 | -71% | 1 | 1 | 0% | 3,197 | 618 | -81% | 0 | 0 | — |
case-01 | pass→fail | 20,848 | 5,231 | -75% | 1 | 1 | 0% | 3,565 | 694 | -81% | 0 | 0 | — |
case-03 | fail→fail | 17,836 | 5,550 | -69% | 1 | 1 | 0% | 2,706 | 435 | -84% | 0 | 0 | — |
case-04 | pass→fail | 15,920 | 34,184 | +115% | 1 | 1 | 0% | 2,343 | 631 | -73% | 0 | 0 | — |
case-05 | fail→fail | 21,156 | 21,401 | +1% | 1 | 1 | 0% | 3,714 | 604 | -84% | 0 | 0 | — |
case-06 | pass→pass | 19,553 | 45,907 | +135% | 1 | 1 | 0% | 2,893 | 2,118 | -27% | 0 | 0 | — |
case-07 | fail→fail | 16,552 | 19,437 | +17% | 1 | 1 | 0% | 2,748 | 551 | -80% | 0 | 0 | — |
case-08 | fail→fail | 15,884 | 4,031 | -75% | 1 | 1 | 0% | 2,622 | 569 | -78% | 0 | 0 | — |
case-09 | fail→fail | 17,971 | 4,939 | -73% | 1 | 1 | 0% | 2,922 | 558 | -81% | 0 | 0 | — |
case-10 | fail→fail | 16,263 | 4,684 | -71% | 1 | 1 | 0% | 2,401 | 552 | -77% | 0 | 0 | — |
case-11 | fail→pass | 11,456 | 4,047 | -65% | 1 | 1 | 0% | 1,865 | 894 | -52% | 0 | 0 | — |
case-12 | fail→fail | 17,994 | 4,818 | -73% | 1 | 1 | 0% | 2,641 | 665 | -75% | 0 | 0 | — |
case-13 | pass→fail | 19,340 | 4,631 | -76% | 1 | 1 | 0% | 2,973 | 583 | -80% | 0 | 0 | — |
case-14 | pass→fail | 17,942 | 2,852 | -84% | 1 | 1 | 0% | 2,550 | 518 | -80% | 0 | 0 | — |
case-15 | fail→fail | 19,857 | 5,644 | -72% | 1 | 1 | 0% | 2,819 | 643 | -77% | 0 | 0 | — |
case-16 | fail→fail | 16,484 | 4,898 | -70% | 1 | 1 | 0% | 2,703 | 579 | -79% | 0 | 0 | — |
case-17 | fail→fail | 22,645 | 3,605 | -84% | 1 | 1 | 0% | 3,716 | 588 | -84% | 0 | 0 | — |
case-18 | pass→fail | 21,135 | 5,426 | -74% | 1 | 1 | 0% | 3,446 | 484 | -86% | 0 | 0 | — |
case-19 | fail→fail | 17,849 | 3,421 | -81% | 1 | 1 | 0% | 2,906 | 535 | -82% | 0 | 0 | — |
case-20 | pass→fail | 18,409 | 53,353 | +190% | 1 | 1 | 0% | 3,004 | 594 | -80% | 0 | 0 | — |
case-21 | fail→fail | 17,557 | 4,804 | -73% | 1 | 1 | 0% | 2,272 | 623 | -73% | 0 | 0 | — |
case-22 | pass→fail | 17,165 | 4,019 | -77% | 1 | 1 | 0% | 2,699 | 553 | -80% | 0 | 0 | — |
case-23 | fail→pass | 10,720 | 7,953 | -26% | 1 | 1 | 0% | 2,102 | 1,697 | -19% | 0 | 0 | — |
case-24 | pass→pass | 11,799 | 12,686 | +8% | 1 | 1 | 0% | 2,172 | 2,937 | +35% | 0 | 0 | — |
case-25 | pass→pass | 12,543 | 12,378 | -1% | 1 | 1 | 0% | 2,538 | 2,688 | +6% | 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. 25 cases were attempted, and 6 counted toward the lift figure. The other 19 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 -24 percentage points is the difference between those two pass rates over the 6 comparable cases. 8 cases got worse with the skill loaded, and they are included in that figure.
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.