Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for any developer, researcher, or AI-curious user who wants their agent (Claude Code, OpenCode, Cursor, OpenClaw) to do real web research against anti-bot-protected sites without depending on a hosted search vendor or a paid anti-detect browser service. The three-tool orchestration shape is the durable differentiator: most 'web search for agents' skills ship one tool (SearXNG-only, or playw
Who should use it
Who should skip it
Skip Johell1NS/browser-search if the source link, documentation, or setup requirements do not align with your current workflow or stack.
About this signal
Johell1NS/browser-search is tracked by RepoRadar as a searxng + camofox + cloakbrowser in the Research & Search section. It was first seen on 2026-07-04 and last updated on 2026-07-04. The current verdict is 'try now' with a Silver tier and moderate setup difficulty. Across RepoRadar's eight signals, Johell1NS/browser-search is strongest on workflow potential (8.7) and open-source/build quality (8.4) and weakest on maturity (5.6) — a profile worth weighing against your own priorities. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned Johell1NS/browser-search a composite score of 7.6 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'low' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to read AI benchmarks without getting fooled for the checklist behind this score.
Risk explanation
Risk label is still being reviewed from the captured evidence. Treat the item as unknown-risk until you review the linked source, permissions, setup path, and data access.
