Skills/ClawHub/video-metadata-analyzer

video-metadata-analyzer@1.2.0

VERIFIED· install only

Publisher claims: "Video content analysis pipeline — extract frames, transcribe audio, run LLM visual+audio analysis, synthesize structured Bilibili publish metadata (title, in..." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher cyberkurry · publishing for 175 daysInstalls 1,008Last detonated 2 h ago
$clawhub install video-metadata-analyzer
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Coverage

Nothing executable in the bundle ran; the trace covers the install step only.
Tested
every file read, file written and host contacted by what ran
Not tested
use of the skill by an agent

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-15 and scored it 88/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.0sprocessno install scripts to re-run

Static findings

MEDIUM
Python subprocess execution detectedscripts/visual.py:153 · Python subprocess execution detectedproc = subprocess.run(["ffmpeg", "-y", "-i", path, "-vf", f"scale={max_width}:-1", "-q:v", "2", tmp_path],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/visual.py:80 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/common.py:42 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/transcribe.py:63 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
File type combined with upload actionscripts/analyze.py:6 · File type combined with upload action — agent may exfiltrate local data filespython3 analyze.py --observations-visual obs_v.json --observations-audio obs_a.json --output metadata.json --method api|agent|manualFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.
AST07
MEDIUM
Python subprocess execution detectedscripts/transcribe.py:85 · Python subprocess execution detectedsubprocess.run(cmd, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
File type combined with upload actionscripts/run.sh:238 · File type combined with upload action — agent may exfiltrate local data files[ -f "$OUTPUT/metadata.json" ] && echo "Metadata: $OUTPUT/metadata.json"Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.
AST07
MEDIUM
Python subprocess execution detectedscripts/transcribe.py:53 · Python subprocess execution detectedresult = 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.
AST05

Cost to the agent

Instructions loaded
≈2,069 tok
1 file · 9 in bundle

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.