websearch-search
Run the lit-review orchestrator keyless agent-driven web search channel that uses WebSearch and WebFetch outputs normalized through websearch_ingest.py. Use when the user invokes the web search channel, asks for Stage 4d open-web literature discovery, or needs a Claude Code web-search fallback without SearchAPI, Gemini, or Undermind credentials.
npx skills add kennethkhoocy/applied-micro-skills --skill websearch-search --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Web Search channel (Stage 4d) — keyless, agent-driven A zero-dependency discovery channel for users who have **only Claude Code** and no search accounts (no SearchAPI / Gemini / Undermind). It uses the agent's own **WebSearch / WebFetch** tools to find real literature on the open web, then funnels the hits through the same dedup -> verify -> screen pipeline as every other channel. There is **no
What does the websearch-search skill do?
Run the lit-review orchestrator keyless agent-driven web search channel that uses WebSearch and WebFetch outputs normalized through websearch_ingest.py. Use when the user invokes the web search channel, asks for Stage 4d open-web literature discovery, or needs a Claude Code web-search fallback without SearchAPI, Gemini, or Undermind credentials.
How do I install it?
Run `npx skills add kennethkhoocy/applied-micro-skills --skill websearch-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From kennethkhoocy/applied-micro-skills, a repository with 54 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
