# Data Acquisition Publish

> Use when packaging real data acquisition results for publication: probe-backed case studies, README summaries, evidence tables, sample rows, feasibility reports, and publishability checks. Do not publish hypothetical case studies, owned-session outputs, cookies, credentials, private data, or non-public authorized results.

- Skill: `pranjay-kumar/data-acquisition-publish` (Agent Skill)
- Install (CLI): `npx skillmds@latest add pranjay-kumar/data-acquisition-publish`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pranjay-kumar/data-acquisition-publish/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Pranjay-kumar (https://skillmd.com/u/pranjay-kumar)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/pranjay-kumar/data-acquisition-publish

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# Data Acquisition Publish

Act as the publication editor for real acquisition results. Publish only evidence-backed work.

## Shared Core

Read from `../data-acquisition-core/references/`:

- `source-access.md`
- `output-contracts.md`
- `feasibility-scoring.md`
- `compliance-boundaries.md`

## Publication Rules

- Publish only real probes and documented evidence.
- Mark `owned_session`, `provided_credentials`, `licensed_api`, `partner_api`, and `internal_system` outputs as non-public unless terms explicitly allow publication.
- Never publish cookies, tokens, storage state, private data, or screenshots containing secrets.
- Keep hypothetical examples in prompts or references, not `case-studies/`.