make-a-woke-profile-with-chatgpt@1.0.2
CAUTION· static onlyPublisher claims: "Turn one selfie into a satirical "I MADE ME WOKE" profile set with GPT Image 2.6, the image model in ChatGPT (aka Wokify): 11 woke versions of you (character sheet, woke friends photo, LinkedIn-style profile, DEI video call, protest TV interview, action figure, holographic trading card, woke cat, oat latte, "In this house" home, WOKEOPOLY), four as looping GIFs, in a 4:5 collage sized for X plus an MP4, and an optional HyperFrames presenter-mode video. One command on varg, about $0.78; the prompts also work pasted into ChatGPT. Use when someone wants to make themselves woke, wokify a photo or profile picture, a woke AI filter, the "I made me woke" trend, a ChatGPT image prompt pack for a selfie, an AI action figure or trading card of themselves, or a collage of AI versions of one person. Not for photos of others without consent, public figures, or mocking LGBTQ+ people themselves (the joke is on performative habits and brands)." Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-11 and scored it 53/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Hidden zero-width characters detected; HTML comment carrying imperative instructions to the agent. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
subprocess.run(["ffmpeg", "-y", "-loglevel", "error", "-framerate", str(fps), "-i", f"{fd}/%04d.png", "-vf",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Pillow, and --anim needs ffmpeg; presenter.py needs Pillow, Node 22+ for npx hyperframes, andFix: Pin versions and sources; vendor anything fetched at install time."dev": "npx [email protected] preview", "check": "npx [email protected] check", "render": "npx [email protected] render -o final.mp4 --crf 20"}}, indent=2))Fix: Pin versions and sources; vendor anything fetched at install time.subprocess.run(["ffmpeg", "-y", "-loglevel", "error", "-framerate", str(fps), "-i", f"{fd}/%04d.png", "-c:v", "libx264",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.A caption that fits: *"I made me woke 🏳️🌈 One selfie, 11 prompts: my LinkedIn, my cat, myFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.Every job is logged to <out>/run.json (job id, credits, output URL, prompt).Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.subprocess.run(["ffmpeg", "-loglevel", "error", "-y", "-f", "lavfi", "-i", "sine=frequency=1900:duration=0.07", "-f", "lavfi", "-i",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.`cd wokify-out/presenter && npx [email protected] render -o final.mp4 --crf 20`.Fix: Pin versions and sources; vendor anything fetched at install time.Generated by .github/readme/build.ts from SKILL.md files and .github/readme/*.json. Edit those and run `bun .github/readme/build.ts`; CI fails when this file isFix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.subprocess.run(["ffmpeg", "-loglevel", "error", "-y", "-i", A.music, "-i", str(a / "tick.wav"), "-filter_complex", fc, "-c:a", "libmp3lame", "-b:a", "192k", str(a / "mix.mp3")], check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.cd wokify-out/presenter && npx [email protected] check && npx [email protected] render -o final.mp4 --crf 20Fix: Pin versions and sources; vendor anything fetched at install time.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
27 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim vargai: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Hidden instructions≈ +6 on the totalRemove HTML comments, zero-width characters and white-on-white text that carry instructions. Everything the agent is meant to read should be visible to the person reading the file.
- Hidden zero-width characters detected≈ +4 on the totalKeep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- npx invocation of non-well-known package≈ +2 on the totalPin versions and sources; vendor anything fetched at install time.
- File type combined with upload action≈ +2 on the totalRemove the call, or declare the host in frontmatter and explain in the README what is sent and why.