Back to skill

Security audit

autonomous-agent

Security checks for vulnerabilities and agentic risk

Overview

This is a markdown-only autonomy framework with broad routing language, but it discloses human-approval boundaries and contains no code, persistence, credential handling, or hidden execution path.

Install only if you want a broad planning/autonomy prompt. Keep normal agent approval controls enabled for production, destructive, security-sensitive, privacy-impacting, financial, or long-running work, and treat its learning/self-correction language as guidance rather than a real memory or automation implementation.

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
Vulnerability Patterns
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (6)

Vague Triggers

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

The invocation description is extremely broad, covering general planning, learning, self-correction, task receipt, and autonomous decisions. In a skill-routing environment, such breadth can trigger this high-autonomy skill in situations where a narrower, safer skill should be used, increasing the chance of unintended autonomous action on sensitive tasks.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The manifest description states the skill is capable of adaptive learning and self-correction with minimal supervision. However, the provided skill file is purely instructional markdown containing process descriptions, example logs, and checklists; it does not implement persistence, pattern learning, or any executable mechanism that would allow the agent to actually learn from outcomes.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The description represents the skill as capable of self-correction and autonomous decision-making. In the file, self-correction appears only as written procedures, checklists, and templates for analysis; there is no code or executable logic that detects failures, selects remediations, or applies corrections automatically.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill advertises minimal-supervision autonomy up front but does not lead with an equally prominent warning about the risks and limits of autonomous action. That omission can cause users or agent frameworks to overtrust the skill before reaching later safety caveats, especially in systems that primarily consume top-of-file metadata.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The file presents conflicting authority boundaries: the manifest advertises autonomous decisions with no human input, while the body says human input is required for critical, high-risk, and security-sensitive actions. This inconsistency can cause downstream agents or orchestrators to grant broader autonomy than intended, weakening safety controls around sensitive operations.

Content

No source excerpt is available for this finding.

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · SKILL.md (reported line 332)May include surrounding context.

md
✅ Document decisions and rationale

### Never:
❌ Take irreversible action without confirmation
❌ Access unauthorized resources
❌ Hide errors or issues
❌ Exceed granted permissions

Static analysis

No suspicious patterns detected.