Scout Growth — World-Class AI Market Intelligence
v1.0.1World-class autonomous market intelligence and growth research skill system. Use ANY time the user asks to research markets, analyze competitors, find trends...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The skill's name/description (market intelligence, growth research) matches the content of SKILL.md and the many reference files. It does not request unrelated binaries, environment variables, or config paths. The required activities (web research, Reddit/Amazon/Google Trends monitoring, briefing writing) are appropriate for the declared purpose.
Instruction Scope
Instructions are comprehensive and domain-specific (read the references, then perform web/social/competitive research, deliver SEIAR briefings). They recommend joining public groups, monitoring subreddits, scraping publicly-available content, and subscribing to newsletters — all consistent with market research. Caveat: the SKILL.md explicitly instructs the agent to 'trigger aggressively' and to 'actively gather intelligence' even without being told specific search targets; that gives the agent broad discretion to initiate proactive web activity. The instructions do not ask the agent to read local files, environment variables, or private system state.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes filesystem/installation risk. No downloads, brew/npm, or external installers are present.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The references mention using third-party free tools (Google Trends, Reddit, Amazon) but do not request tokens or secrets. The level of requested access is proportionate to a public-source research skill.
Persistence & Privilege
always:false (normal). disable-model-invocation is false by default (the agent may autonomously invoke the skill). Autonomy combined with the 'trigger aggressively' language could lead to frequent, proactive research runs; this is a behavioral/operational risk rather than a code-level incoherence. There is no attempt to modify other skills or to persist credentials.
Assessment
This skill appears coherent for market and competitive research: it is instruction-only, uses public sources, and asks for no credentials. Before installing, consider: 1) Do you want a skill that will 'trigger aggressively' and autonomously initiate research? If not, restrict autonomy or require explicit user invocation. 2) Define boundaries (allowed domains, frequency, and whether creating/joining accounts is permitted). 3) If your agent has access to private data or internal systems, audit agent permissions so the skill cannot mix internal secrets into outbound research without your consent. 4) Monitor the agent's activity/logs for unexpected web crawling or scraping. 5) If you need stricter controls, ask the platform admin to disable autonomous invocation for this skill or to require explicit user confirmation before it runs. Overall this skill is internally consistent with its stated purpose.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.