interceptor-research

interceptor-research is a Web research & fact-checking skill for AI agents, published by Hacker-Valley-Media in the Interceptor repository on GitHub. Skillspace rates interceptor-research C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT operators do, not 'read 3 links and summarize.' Use when the task is research, deep research, investigate, go deeper, be thorough/exhaustive, OSINT, due diligence, competitive analysis, literature review, background check, dig in, or 'find everything about X.' Drives interceptor-browser verbs (open/read/inspect/net/eval/tab) with a planner loop, query-craft filters, a per-page escalation chain, pivot-chaining, an on-disk source ledger, and adversarial verification. Do every fetch and search through interceptor — never WebFetch/WebSearch. Pull the playbook any time with `interceptor research`.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

307

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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