find-references@1.0.5
CAUTION· static onlyPublisher claims: "Find real, human-made references before anything is made, for AI image, video and music and for video made with code. Turns a request into one query pack per job (light first, then framing, people, location, texture, type, motion, palette, music and a "never" board), searches each source in its own words, opens everything it keeps, proves who made it, measures what code can measure, checks light with an LLM judge, and hands a person three candidates per job. Use when someone says "find references", "reference board", "what should this look like", "lighting reference", "framing reference", "texture reference", "font reference", "motion reference", "casting reference", "music reference", "moodboard references", "make it not look like AI", "avoid slop", "rank these references", or starts a video with no look yet. Not for writing the look from chosen references (video-moodboard, varg-video-prompting), building the cast (character-passport) or downloading one known link (media-download)." 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 2026-11-12 and scored it 60/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Latin word with Cyrillic or Greek look-alike letters (homoglyph); HTML comment carrying imperative instructions to the agent; Latin word with Cyrillic or Greek look-alike letters (homoglyph). 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
process = subprocess.Popen(command, stdout=subprocess.PIPE)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.run(["ffprobe", "-v", "error", "-select_streams", "v:0", "-show_entries", "stream=width,height",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.done = subprocess.run(["ffprobe", "-v", "error", "-select_streams", "v:0", "-show_entries", "packet=pts_time",Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.done = subprocess.run(command, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.ßéяFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.done = subprocess.run(command, cwd=cwd, env=env, input=user, capture_output=True, text=True, timeout=READ_TIMEOUT)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.run(cmd, capture_output=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.process = subprocess.Popen(command, stderr=subprocess.PIPE, text=True, errors="replace")Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.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.python3 -I "$S/board.py" board.json board.html --seed 7 # input shape in references/templates.mdFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.čłяFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.out = subprocess.run(["magick", source, "-auto-orient", *ops, "-format", "%w %h", "info:"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.ßéčłяFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.done = subprocess.run(["magick", src, "-auto-orient", *(trim if do_trim else []),Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.čłяFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.done = subprocess.run(command, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.done = subprocess.run(command, cwd=cwd, env=env, capture_output=True, text=True, timeout=READ_TIMEOUT,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.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
20 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.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
- 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.