📦 Academic Deep Research — 学术深研
v1.0.0以APA第7版引用、证据等级、双循环调研与3次用户校验，提供透明可复现的文献综述与竞争情报全流程。
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by @kesslerio下载技能包
最后更新
2026/2/26
安全扫描
OpenClaw
安全
medium confidenceNULL
评估建议
This skill appears to do what it says: a strict, multi-cycle web-based research methodology with checkpoints. Before installing or running it, consider: (1) Despite a README claim about 'offline' operation, the skill uses web_search/web_fetch (it will browse the web). If you require truly offline research, do not use it. (2) The skill may read agent memory (memory_search/memory_get) to cross-reference prior context — if your stored memory contains sensitive data, be cautious or disable memory fo...详细分析 ▾
ℹ 用途与能力
The skill claims to be self-contained and 'works offline / no cloud services' in README, but its runtime instructions require web_search and web_fetch (networked web access) — this is not a credentials or install mismatch but is a documentation contradiction. Otherwise the requested tools (web_search, web_fetch, sessions_spawn, memory_search/get) are appropriate for exhaustive, reproducible research.
✓ 指令范围
SKILL.md mandates explicit multi-cycle research, shows tool usage (web_search, web_fetch, sessions_spawn) and requires showing analysis after every tool call; all of that stays within the stated research/literature-review scope. It does instruct checking memory (memory_search/memory_get) for prior context — reasonable for continuity but it means the skill will access agent memory if available.
✓ 安装机制
Instruction-only skill with no install spec, no downloads, and no third-party packages. This is low-risk and proportionate for the described purpose.
✓ 凭证需求
The skill requests no environment variables, no credentials, and no config paths. The only sensitive access implied is to the agent's memory (via memory_search/memory_get) and to the web (via web_search/web_fetch), both of which are coherent with research tasks but should be considered when working with sensitive topics.
✓ 持久化与权限
always is false and model invocation is allowed (platform default). The skill requires multi-step autonomous execution in Phase 3 once approved, which is expected for an automated research workflow. It does not request elevated persistence or modify other skills.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/2/2
NULL
● 无害
安装命令
点击复制官方npx clawhub@latest install academic-deep-research
镜像加速npx clawhub@latest install academic-deep-research --registry https://cn.longxiaskill.com