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Security audit

Percept Ambient

Security checks for vulnerabilities and agentic risk

Overview

This skill is openly designed for always-on conversation capture and searchable memory, which is coherent but high-impact and under-scoped.

Install only if you intentionally want an always-on conversation memory system. Before enabling it, verify that recording is opt-in, visibly indicated, limited to approved spaces or sessions, consented to by participants, protected with local authentication and encryption, and easy to pause, search, export, and permanently delete.

Vulnerability Patterns
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
  • 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
Findings (1)

T05 · Unauthorized Access and Privilege Escalation

Error
Location
SKILL.md:3
Finding

Continuous Collection and Persistent Indexing of Ambient Conversations Without Explicit Per-Conversation Authorization

Content
View full analysis
Remediation
View remediation
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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)

Vague Triggers

High
Category
Not specified by scanner
Confidence
97% confidence
Finding

The skill is explicitly designed for ambient, background, and continuous context capture without requiring explicit commands, which creates an overbroad activation boundary for surveillance-like behavior. Because it passively learns from conversations and relationships over time, it risks collecting sensitive data from users and bystanders without clear, specific consent or contextual limitation.

Content

No source excerpt is available for this finding.

Missing User Warnings

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

The description presents always-on context awareness as a feature but does not prominently warn that conversations are continuously captured, summarized, and retained. That omission can mislead users about the privacy consequences of enabling the skill, increasing the chance of non-consensual monitoring and collection of sensitive personal, business, or third-party information.

Content

No source excerpt is available for this finding.

Ssd 3

High
Category
Not specified by scanner
Confidence
96% confidence
Finding

Assembling context packets from continuously captured conversations can expose sensitive historical information to unrelated downstream agent actions, effectively turning private background data into broadly reusable prompt context. This raises confidentiality and purpose-limitation risks, especially when the packet includes entity resolution, relationships, and relevant history that may exceed what is necessary for a given task.

Content

No source excerpt is available for this finding.

Ssd 3

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

Passive, always-on summarization of all conversations creates a broad natural-language collection surface that can ingest credentials, health data, legal discussions, trade secrets, or other sensitive content. Even if only transcripts are stored locally, the act of continuously extracting and structuring this information increases the chance of leakage, misuse, or inappropriate later retrieval.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.