# Research Acquire

> Acquire bounded keyless public records through discovery, semantic candidate selection and resumed depth reads.

- Skill: `danmcinerney/research-acquire` (Agent Skill, multi-file: 187 files)
- Install (CLI): `npx skillmds@latest add danmcinerney/research-acquire`
- Raw SKILL.md: https://api.skillmd.com/api/skills/danmcinerney/research-acquire/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: danmcinerney (https://skillmd.com/u/danmcinerney)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/danmcinerney/research-acquire

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Acquire evidence in the current context; launch no agents. Follow the [acquisition method](references/acquisition.md) and the selected sources' [route guidance](references/selection-routes.md). Read the [protocol](references/protocol.md) only for direct runner APIs or manual manifests.

Resolve scripts from this skill directory and use the caller's interpreter and output location; [dependencies](../../README.md). Keep one plan through discovery, semantic selection and resumed depth. Return inspected evidence, receipts and unresolved gaps; a valid packet alone does not answer the research question.