v1.0.0

Vision Simulator

BenignClawScan verdict for this skill. Analyzed May 1, 2026, 7:29 AM.

Analysis

This is a coherent instruction-only marketing-forecast skill; the main thing to notice is that it may run web lookups and pass your scenario through several sub-agent sessions.

GuidanceThis appears reasonable to use as an advisory marketing simulation tool. Before using live data collection, consider whether your scenario contains confidential product, campaign, or competitor information, because keywords and context may be used in web searches and shared across the skill’s sub-agent workflow.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

Abnormal behavior control

Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.

Tool Misuse and Exploitation

SeverityLowConfidenceHighStatusNote

SKILL.md

- Use `sessions_spawn` for each agent ONE AT A TIME
- Use `web_fetch` for data collection (Pro)

The skill directs the agent to use orchestration and web-fetch tools as part of its simulation workflow; this is disclosed and central to the purpose, but users should be aware it is not purely local text generation.

User impactWhen you ask for a simulation, the agent may make web requests and create sub-agent sessions to produce the report.

RecommendationUse it with non-sensitive scenarios or explicitly avoid live data collection when campaign or product details are confidential.

Sensitive data protection

Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.

Memory and Context Poisoning

SeverityLowConfidenceHighStatusNote

SKILL.md

웹 검색 실행
    ↓
결과 요약
    ↓
에이전트에 전달

The workflow summarizes web search results and feeds them into agents; third-party web content can be unreliable or adversarial and may influence the final forecast.

User impactThe prediction report could be skewed by low-quality search results or prompt-like content found on the web.

RecommendationTreat the forecast as advisory, ask for sources or verification, and do not let retrieved content override business judgment.

Insecure Inter-Agent Communication

SeverityLowConfidenceHighStatusNote

SKILL.md

Run agents sequentially:
   - sessions_spawn each agent
   - Wait for result
   - Collect

The skill sends scenario and collected data through multiple spawned agent roles; the roles are defined and bounded to five sequential agents, so this is purpose-aligned but still worth noticing.

User impactYour scenario details may be copied into multiple agent contexts during the simulation.

RecommendationAvoid including confidential launch plans, unreleased product details, or sensitive competitive information unless you are comfortable with that sub-agent workflow.