before-after-and-transformation
The transformation / before-after content format : structure a credible.
What this skill does for you
The transformation / before-after content format : structure a credible, honest, satisfying transformation (fitness, beauty, business results, skill progress, makeovers, client glow-ups, product before/after). Use when someone wants a before/after, a transformation post, a client-results reveal, a progress/journey story, or a makeover. Most powerful format AND most abused/distrusted : honesty is the edge; FTC enforcement is live. Uses the SHIFT framework. Reads brand-profile + social-proof-and-testimonials (consent + FTC substantiation) + short-form-video-script first. Agent structures + specs; human/tool produces the real media; WoopSocial publishes. Never stages/exaggerates the before, hides aids, cherry-picks, or fabricates a result; "results not typical" alone is insufficient : disclose the actual typical result; consent + YMYL required. Distinct from social-proof-and-testimonials, short-form-video- script, infographic-and-data-viz, and storytelling-and-narrative.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the before-after-and-transformation skill from social-media-skills/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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:ab1985127f58a11e1dac01c601cc7f7f0ffa238f50beff0356fca5cf6a16fe3d
- Licence
- MIT