李继刚认知工具箱

v1.0.0

整合李继刚原创的11个认知工具,实现逻辑分析、问题挖掘、抽象表达、多角度思考和公文写作等深度认知任务。

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
Purpose & Capability
Name/description (a toolbox of 11 cognitive/prompt templates) matches the provided files: a SKILL.md and 11 prompt files. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
All runtime instructions are prompt templates and usage guidance; they stay within cognitive/analysis/writing tasks. A few small ambiguities exist: some prompts reference model names (e.g., "Claude Sonnet") and one prompt (逻辑之刃) contains the constraint "只输出数据库已有信息" ("only output database-existing information") — it's unclear what "database" refers to in the agent context. Otherwise prompts do not instruct reading system files, contacting external endpoints, or exfiltrating data.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install mechanism and consistent with the skill's stated behavior.
Credentials
The skill declares no required environment variables, credentials, or config paths. The prompts do not require external API keys. Requested access is proportionate to an instruction-only prompt library.
Persistence & Privilege
always is false and disable-model-invocation is false (normal). The skill does not request permanent system changes, nor does it indicate altering other skills or agent configuration beyond injecting system prompts at runtime.
Assessment
This skill is essentially a packaged set of system prompts — generally low-risk. Before installing, consider: 1) test a few triggers to confirm the outputs match your expectations and that references to external models/databases behave as intended; 2) if you plan to produce official government-style documents, review outputs for legal/ethical appropriateness (the "公文笔杆子" prompt enforces "政治正确" and strict formatting); 3) verify the claimed GitHub source if provenance/licensing matters to you (SKILL.md references github.com/lijigang/prompts); 4) ask the author to clarify ambiguous constraints such as "只输出数据库已有信息" so you know what internal data the skill may rely on. If you need guarantees about data handling or provenance, request explicit documentation from the publisher before use.

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.

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