saas-decomposer
v1.0.0Web SaaS service decomposition and AI internalization development plan generation. Analyze existing SaaS to identify functions replaceable by AI agents and e...
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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 name and description (SaaS decomposition and AI internalization plans) match the runtime instructions: crawling landing/feature pages, decomposing functions, scoring AI replaceability, and producing roadmaps. The declared lack of required binaries, env vars, and install steps is appropriate for an instruction-only analysis skill.
Instruction Scope
The SKILL.md instructs the agent to use web_fetch and data-scraper to crawl and extract site functions and to read/mention internal memory files. This stays within the stated purpose, but it implies network access and file read/write (event JSON output, referencing memory/*). The spec does not mention robots.txt, authentication handling, or rate-limiting, so there is a risk the agent could attempt to access protected pages or scrape aggressively if not constrained.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk by an installer and there are no package-download risks.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md references internal memory file paths and existing 'Mupeng' skills, which are consistent with internal mapping and do not require additional secrets. No unrelated credentials are requested.
Persistence & Privilege
always is false (normal). The skill can be invoked autonomously (platform default), which combined with network crawling increases potential blast radius if misused. There is no request to modify other skills or system-wide settings.
Assessment
This skill appears coherent for analyzing public SaaS sites and drafting AI-internalization plans and does not ask for credentials or install anything. Before installing, confirm the agent environment provides safe, rate-limited web_fetch/data-scraper tools and decide whether you want the skill to be allowed to run autonomously. Do NOT supply any site credentials or secrets to the skill; if you expect analysis of non-public areas, prefer a manual workflow. Also verify any referenced internal memory files or existing 'Mupeng' skills actually exist in your agent environment, and consider adding constraints (robots.txt respect, request throttling, and output review) so web crawling and generated plans remain compliant with your policies.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.
