data-and-original-research

The original-research / data-study content type : turn proprietary data.

What this skill does for you

The original-research / data-study content type : turn proprietary data, a survey, a public-dataset analysis, or an experiment into the most linkable and AI-citable asset you can publish. Use when someone wants to build authority with original data, run a "state of X" survey or industry study, turn proprietary/customer data into a publishable stat, or get cited by journalists and AI search (GEO). Uses the PROVE framework. Reads brand-profile + audience-research first. The agent designs the study (question, method, analysis plan) and frames the findings (headline stat, report, social cuts); the human/tool gathers the real data; WoopSocial publishes the finished cuts. Feeds ai-search-optimization + social-seo, the format writers, and infographic-and-data-viz. NEVER fabricates data, stats, or methodology; discloses method + limits. Distinct from educational-content-and-how-to (existing knowledge), analytics-and-reporting (internal performance), competitor-analysis, and trend-jacking.

Quoted from the skill description in the pinned source

Who made it

Publishersocial-media-skills

Repositoryskills

Installs294as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the data-and-original-research skill from social-media-skills/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/social-media-skills/skills
Pinned skill file: View source at revision
Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945
Package hash: sha256:70583595a85b0dcccb3b334bbb4104f721560045664de420be7a4e3a9c188555
Licence: MIT