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Security audit

Tübingen Weather Graphics

Security checks for vulnerabilities and agentic risk

Overview

This skill does what it claims, but its optional setup creates a persistent daily agent task that sends content through Telegram without enough scoping or removal guidance.

Install only if you are comfortable with a daily recurring OpenClaw task sending weather output through Telegram. If you use the automatic setup, keep the script and virtual environment in a private durable location, pin dependencies, and make sure you know how to list and remove the cron entry.

Vulnerability Patterns
  • System PersistenceInstalls backdoors, hooks, services, or scheduled tasks that survive the run
  • Insecure DependenciesIntroduces malicious components through unsafe dependency sources
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
Findings (2)

T06 · System Persistence

Warning
Location
SKILL.md:29
Finding

Persistent Scheduled Agent Execution Through OpenClaw Cron

Content
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Remediation
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T08 · Insecure Dependencies

Note
Location
SKILL.md:13
Finding

Unpinned Third-Party Dependency Installation

Content
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Remediation
View remediation
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (4)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
86% confidence
Finding

The skill invokes a script that fetches data from Open-Meteo, so it has network capability, but the manifest does not declare any explicit tool scope or permissions. That creates a transparency and governance gap: an agent or reviewer cannot easily tell from the skill metadata that outbound network access is required, which can lead to overbroad execution in environments that rely on manifest-declared capabilities.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
60% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · scripts/generate_forecast_graph.py (reported line 16)May include surrounding context.

python
import matplotlib.pyplot as plt  # type: ignore

API_URL = (
    "https://api.open-meteo.com/v1/forecast?latitude=48.5216&longitude=9.0576"
    "&daily=temperature_2m_max,temperature_2m_min,precipitation_probability_max"
    "&timezone=Europe/Berlin"
)

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

The documentation instructs automatic Telegram sending of the generated summary and PNG without an explicit warning that content will be transmitted to an external service. Even if the payload is only weather data, silent or poorly disclosed outbound transmission reduces user awareness and can normalize exfiltration patterns in agent skills.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The file contains multiple hard-coded German user-facing strings, including the module description, chart labels, CLI description, and printed summary. This enforces a specific language/locale without user opt-in, which matches the natural-language policy violation category for locale constraints.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.