Research Advisor

What it does

Example prompts

• “下一步怎么走”
• “/research-advisor”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1你具体想做什么
2. 2你目前打算怎么做
3. 3如果成功了，为什么这是一件大事
4. 4你认为最大的风险是什么"

What it can do on your machine

Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • github.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Advisor loads about 1.4k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 390 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~43

When it runs · the whole SKILL.md, loaded when a task matches

~1.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~24k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its Apache-2.0 licence (© rongxinzy). 390 words, ~1,351 tokens.

name

research-advisor

description

协助科研人员进行选题构思、项目规划、问题排查与科研决策，输出具体的研究方案、风险评估矩阵或决策树等文档。当用户提出新研究想法、分享当前项目遇到的卡点、咨询战略性问题，或使用“选题”、“开题”、“项目构思”、“研究方向”、“研究路径”、“风险评估”、“问题排查”、“卡住了”、“下一步怎么走”等关键词时触发。

license

Apache-2.0

<!-- Changes (zh): translated description field to Chinese. Original source: https://github.com/anthropics/knowledge-work-plugins/tree/main/bio-research/skills/scientific-problem-selection (Apache-2.0) -->

技能 1：直觉泵
         |（产生想法）
         v
技能 2：风险评估
         |（评估可行性）
         v
技能 3：优化函数
         |（定义成功指标）
         v
技能 4：参数策略
         |（确定灵活度）
         v
技能 5：决策树
         |（规划执行与评估）
         v
技能 6：逆境规划
         |（准备应对失败模式）
         v
技能 7：问题反转
         |（提供转向策略）
         v
技能 8：整合与沟通
         |（综合为连贯的计划）
         v
技能 9：元技能
         （编排完整工作流）

© rongxinzy, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files (references) in SKILLs/research-advisor of rongxinzy/RongxinAI.

• SKILL.md
• LICENSE.txt
• references/01-intuition-pumps.md
• references/02-risk-assessment.md
• references/03-optimization-function.md
• references/04-parameter-strategy.md
• references/05-decision-tree.md
• references/06-adversity-planning.md
• references/07-problem-inversion.md
• references/08-integration-synthesis.md
• references/09-meta-framework.md
• zhiyuan/icon.png
• zhiyuan/metadata.yaml

Open the folder on GitHubat commit 9c64865