video-podcast-maker@3.0.2
CAUTION· static onlyPublisher claims: "Use when the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu..." 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 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: Auto-update or dynamic fetch configuration; Auto-update or dynamic fetch configuration. 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
…on — even if it also says "otherwise looks good": apply the changes, let Studio hot-reload, and ask again. Every round of adjustments needs its own fresh confirmation before Step 10. - **Step 14 — `verify_output.py`.** MUST pass before dec…Fix: Pin versions and sources; vendor anything fetched at install time.…| Audio (`podcast_audio.wav` + `podcast_audio.srt`) is the master clock. `timing.json` MUST be generated from the real TTS output, never hand-estimated. Before rendering, final video duration must match audio …Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.| [references/natural-narration.md](references/natural-narration.md) | **Load before Step 4 script writing** — anti-slop rules for spoken narration (kill list, structural tells, checklist) |Fix: Build commands from fixed arguments; do not interpolate untrusted strings into a shell.help='Also render shorts after generating (runs npx remotion render)')Fix: Pin versions and sources; vendor anything fetched at install time."""Hyperframes is an npx tool, not a skill — only Node >= 22 is required."""Fix: Pin versions and sources; vendor anything fetched at install time.out = subprocess.check_output(["node", "--version"], text=True, timeout=10)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(cmd).returncodeFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.f"timing.json not found in {input_dir}",Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.| Narration script (`podcast.txt`) | Step 8 (`generate_tts.py --output-dir videos/{name}`) → Step 9 preview → Step 10 render (on explicit confirm) → Step 11 BGM | topic research + section design |Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.npx remotion still src/remotion/index.ts Thumbnail16x9 videos/{name}/thumbnail.png --public-dir videos/{name}/Fix: Pin versions and sources; vendor anything fetched at install time.…iewer **sees or hears** re-enters the Step 9 gate: apply the change, let Studio hot-reload (or relaunch it), and wait for a fresh explicit "render 4K" — the confirmation that started the previous render does **not** carry over to the adjus…Fix: Pin versions and sources; vendor anything fetched at install time."""Render a short video using npx remotion render."""Fix: Pin versions and sources; vendor anything fetched at install time."entry": "npx hyperframes",Fix: Pin versions and sources; vendor anything fetched at install time.concat_result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.…Mandatory stops** (bold rows above): - **Step 9 — Studio review.** MUST launch `npx remotion studio` and wait for user feedback before rendering. NEVER render 4K until the …Fix: Pin versions and sources; vendor anything fetched at install time.parser.add_argument('timing', help='Path to timing.json (output of generate_tts.py)')Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.npx remotion render src/remotion/index.ts CompositionId videos/{name}/output.mp4 --public-dir videos/{name}/ --video-bitrate 16MFix: Pin versions and sources; vendor anything fetched at install time.print(f" 3. npx remotion render src/remotion/index.ts <CompId> \\")Fix: Pin versions and sources; vendor anything fetched at install time.npx remotion studio src/remotion/index.ts --public-dir videos/{name}/Fix: Pin versions and sources; vendor anything fetched at install time.subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.parser.add_argument('--input', '-i', default='podcast.txt', help='Input script file (default: podcast.txt)')Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.proc = subprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.check_output([Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.norm_result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.out = subprocess.check_output([Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.2. Project-level: videos/{name}/phonemes.json (same dir as input)Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.result = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.probe = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(cmd, capture_output=True, text=True, check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.probe = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.probe = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.probe = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.probe = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.probe = subprocess.run(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 agents365-ai: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Auto-update or dynamic fetch configuration≈ +4 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.
- Process kill command≈ +2 on the totalBuild commands from fixed arguments; do not interpolate untrusted strings into a shell.
- npx invocation of non-well-known package≈ +2 on the totalPin versions and sources; vendor anything fetched at install time.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.