investment-framework-bundle
v1.0.0Chase's complete 3-stage investment analysis system: V1 (冷酷逻辑剥离), V2 (多空辩论), V3 (AI产业链深度). Use when analyzing any stock or investment opportunity. Includes s...
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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/description (multi-stage investment framework) matches the SKILL.md and supplemental files: all files are investment analysis text, templates, and example outputs. The skill declares no binaries, env vars, or unusual config paths that would be disproportionate for a research framework.
Instruction Scope
Runtime instructions remain within the stated research purpose (V1 logic checks, V2 debate, V3 AI industry mapping). One operational note: V3 mentions periodic progress saves ('每30分钟保存进度') and storing final outputs into a 'memory' directory — this implies writing agent state/memory, which is reasonable for a research workflow but is outside the skill's stated analytics-only claims and should be understood by the user.
Install Mechanism
No install spec or code files executed; the skill is instruction-only, so nothing is downloaded or written by an installer.
Credentials
The skill requires no environment variables, credentials, or config paths. The sources referenced are public research sites; there are no requests for unrelated secrets or cloud credentials.
Persistence & Privilege
always:false and model invocation is allowed (platform default). The only persistence-like behavior is the instruction to save progress and write outputs to a memory directory; this is scoped to the skill's own outputs and does not request system-wide or other-skills' configuration. Users should confirm they are comfortable with the agent storing analysis in its memory.
Assessment
This skill is an instruction-only research template for stock/AI-industry analysis and appears internally consistent. Before installing: (1) confirm you are comfortable with the agent storing analysis/results in its memory/archive (the docs mention periodic saves and writing final outputs to a memory directory); (2) treat any example target prices or recommendations as illustrative — verify data and timeliness with live market data and/or a licensed adviser; (3) if you expect the agent to fetch live data, check how it will access external sources (the SKILL.md cites public sites but does not include code to fetch them); and (4) if you have compliance or privacy concerns, ask whether saved analysis will be shared or exported. No elevated credentials or installers are required, so the security footprint is minimal.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.