Skills/ClawHub/local-image-upscaler

local-image-upscaler@1.2.2

VERIFIED· install only

Publisher claims: "Upscale, inspect, or compress JPG, PNG, or WebP images locally on macOS or Windows, including automatic or user-selected photo, portrait, digital-art, sharp-..." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher harven-droid · publishing for 115 daysInstalls 1,121Last detonated 4d ago
$clawhub install local-image-upscaler
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Coverage

Install scripts ran; no agent task scenario for this bundle.
Tested
install scripts, with decoy credentials in place · second launch with the clock 45 days ahead · 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 (2 scenarios; install scripts ran; no agent task scenario for this bundle) on 2026-11-10 and scored it 89/100 (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 · 2 scenarios · 0 deviations
t+CategoryObserved action
0.2sprocessexited 1: Error: Unsupported platform: linux/x86_64. Supported: macOS and Windows x64.
0.2sprocessscript backend runs setup only
0.2sprocessscript backend runs setup only
0.2sprocesssecond launch, clock +45 days, CI unset
0.4sprocessexited 1: Error: Unsupported platform: linux/x86_64. Supported: macOS and Windows x64.

Static findings

MEDIUM
Python subprocess execution detectedscripts/upscale.py:265 · Python subprocess execution detectedcompleted = subprocess.run(command, check=False)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
URL with suspicious TLDassets/manifest.json:5 · URL with suspicious TLD — commonly used for phishing/malware"https://ghfast.top/"Fix: Replace encoded or assembled strings with plain literals and remove undeclared network calls.
AST07
MEDIUM
Python subprocess execution detectedscripts/upscale.py:206 · Python subprocess execution detectedcompleted = 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/compress.py:83 · 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/upscale.py:166 · Python subprocess execution detectedcompleted = subprocess.run(command, check=False, stdout=subprocess.DEVNULL)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedscripts/compress.py:52 · Python subprocess execution detectedresult = subprocess.run(command, check=False, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

Cost to the agent

Instructions loaded
≈2,092 tok
1 file · 12 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.