Security audit

Joy Log - 快乐档案

Security checks for vulnerabilities and agentic risk

Overview

This skill is a coherent joy-journaling tool, but it needs review because it automatically saves conversation text and can generate or send shareable cards without clear consent controls.

Install only if you are comfortable with automatic logging of chat excerpts. Disable or avoid auto-capture for sensitive conversations, review any saved text before card generation, and require explicit confirmation before sharing or sending anything to Eric.

SkillSpector

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 (7)

Vague Triggers

Medium

Confidence: 95% confidence
Finding: The auto-trigger keywords are common everyday expressions like '开心', '赞', and '厉害', so the skill may activate during ordinary conversation without clear user intent. Because activation leads to recording and storage of conversation content, broad triggers materially increase the chance of unintended capture of private or sensitive text.

Vague Triggers

Medium

Confidence: 87% confidence
Finding: The manual commands include natural-language phrases such as '记下来' and '这一刻很棒' that can plausibly appear in normal conversation rather than as deliberate control commands. This ambiguity can cause the system to log content when the user is merely speaking conversationally, leading to unintended data retention.

Missing User Warnings

High

Confidence: 97% confidence
Finding: The skill advertises automatic recording of 'warm moments' but does not provide a clear warning that conversation content will be captured and stored. Missing notice and consent are especially risky here because users may reveal personal information in casual chat without realizing it is being persistently logged.

Missing User Warnings

High

Confidence: 98% confidence
Finding: The workflow captures surrounding context, extracts quotable text, generates a card, and supports sharing, yet the description does not warn users that adjacent conversation turns may also be included. This creates a significant transparency and privacy problem because users may expect only a single happy phrase to be used, not multiple prior turns and metadata such as timestamps.

Ssd 3

Medium

Confidence: 94% confidence
Finding: Automatic capture plus shareable output means user-provided conversation content can move from transient chat into persistent logs and exportable artifacts. Even if the feature is intended for positive moments, it can still expose sensitive personal, relationship, or identifying information without meaningful user awareness or consent.

Ssd 3

High

Confidence: 96% confidence
Finding: The storage structure explicitly includes original conversation text, and the card feature includes quoted excerpts and timestamps, creating a durable record of potentially sensitive content. Persisting raw dialogue and republishing selected text materially increases privacy exposure if the data is accessed by others, synced, or mishandled.

Ssd 3

High

Confidence: 99% confidence
Finding: The workflow explicitly supports directly sending generated cards containing conversation excerpts to a named recipient ('Eric'). This is a concrete exfiltration path for user conversation content, and the risk is heightened because sharing appears embedded in the normal generation flow rather than gated by a strong confirmation step.

Static analysis

No suspicious patterns detected.