Skills/ClawHub/ai-product-radar

ai-product-radar@1.0.1

CAUTION· static only

Publisher claims: "One-click AI product launch monitoring pipeline. Use when tracking new AI product releases, monitoring competitor launches, generating trend reports from tech RSS feeds, or running automated product discovery. Integrates RSS monitoring, product info enrichment, screenshot capture, and trend analysis into a single command. Triggers on "product radar", "AI launch monitor", "track new AI products", "product release tracking", "AI trend report", or similar product intelligence workflows." Observed in sandbox: static analysis only — behavior not yet observed.

Registry ClawHubPublisher terrycarter1985 · publishing for 187 daysInstalls 510Last detonated 5d ago
What would fix thisWatchDispute verdict

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 2026-11-09 and scored it 69/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.

Behavior trace

Queued for honeypot run · static analysis only
t+CategoryObserved action

This 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

MEDIUM
Python subprocess execution detectedscripts/ai_product_radar.py:354 · Python subprocess execution detectedresult = subprocess.run(["node", "-e", script], capture_output=True, text=True, timeout=45)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/ai_product_radar.py:307 · Python subprocess execution detectedresult = subprocess.run(["npx", "--yes", "playwright", "--version"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈684 tok
1 file · 3 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.

What would make this Verified

11 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim terrycarter1985: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
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