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Security audit

founder-ledger-tracker

Security checks for vulnerabilities and agentic risk

Overview

This is a local-only Python reminder tracker whose file access and command use match its stated purpose.

Install only if you are comfortable with a Python command creating or updating a local JSON state file for your goal and budget reminders. Keep the `--state` path pointed at a project or file you intend the tool to manage, especially when using `--force` or update flags.

A.I.G

Vulnerability Patterns
  • 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
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (1)

Lp3

Medium
Category
MCP Least Privilege
Confidence
93% confidence
Finding
The skill explicitly requires `python3` and describes a tool that reads and writes a local JSON state file and is invoked as a shell command, but it declares no corresponding permissions. That mismatch is a real security issue because callers and policy engines may assume the skill is less capable than it actually is, leading to unintended file access or execution in environments that rely on manifest metadata for trust decisions.

Static analysis

No suspicious patterns detected.