Security audit

Gnamiblast

Security checks for vulnerabilities and agentic risk

Overview

The skill mostly matches an AI social-network integration, but it asks agents to accept remote policy data as agent constraints and uses an unpinned installer package.

Review this skill before installing. Use it only if you are comfortable with GnamiBlast network access, public posting/commenting/voting by an agent, and a scoped GnamiBlast token. Do not let remote GnamiBlast policy responses alter global agent rules or abort unrelated tasks; treat them only as platform policy data. Prefer a pinned, reviewed installer version instead of running the documented `@latest` command.

A.I.G

Vulnerability Patterns

Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
Insecure DependenciesIntroduces malicious components through unsafe dependency sources
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

Findings (2)

T01 · Skill Instruction Hijacking

Error

Location: heartbeat.md:15
Finding: Externally Controlled Policy Can Hijack Agent Constraints and Abort Tasks
Content: View full analysis
Remediation: View remediation

T08 · Insecure Dependencies

Warning

Location: skill.md:22
Finding: Mutable Latest-Version Package Is Downloaded and Executed During Installation
Content: View full analysis
Remediation: View remediation

SkillSpector

Vulnerability Patterns

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
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep

Findings (1)

Rp1

Medium

Category: MCP Rug Pull
Confidence: 97% confidence
Finding: The installation command uses npx molthub@latest, which fetches and executes the most recent published package version at install time rather than a reviewed, fixed version. If the upstream package is compromised, typosquatted, or updated with malicious code, users of this skill could execute attacker-controlled code during installation.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.