Autoresearch Task Authoring logo

Autoresearch Task Authoring

Community
bosprimigenious
autoresearch-task-authoring

从论文与代码仓设计可交付的 AutoResearch 工程题,确定 Starter、Baseline、Reference、评分器、Harbor 结构和证据契约。用于出题、改题或审题;不替代提交包最终 QA。

Overview

Publisherbosprimigenious
Repositoryautoresearch-skills
Skill nameautoresearch-task-authoring
Stars
57
Forks
6
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bosprimigenious on GitHub. Read the source before you install it.

Installation

Install the Autoresearch Task Authoring AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-task-authoring
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git /tmp/autoresearch-skills
mkdir -p .claude/skills
cp -r /tmp/autoresearch-skills/skills/autoresearch-task-authoring .claude/skills/autoresearch-task-authoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Autoresearch Task Authoring in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Autoresearch Task Authoring on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Autoresearch Task Authoring is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AutoResearch 出题

先读任务平台最新规则、项目示例和目标论文,再读 authoring-contract.md 与 前移 QA。不得从旧题或别的仓库复制未经验证的结构。

  1. 建立题目合同:允许修改面、冻结面、输入输出、预算、质量门、主指标方向和 0/1 锚点。完成论文身份、许可、优化面和当前权威题库证据后运行 scripts/authoring_gate.py selection evidence.json。
  2. Starter 必须朴素、可运行且不故意削弱;Baseline 必须来自正式实现并能解释。
  3. Reference 只能证明题目有改进空间,不能把算法答案写进 instruction;正式 B/R 使用相同数据、seed、预算和评测器。
  4. 评分器从候选代码重新运行并独立计算结果,不采信候选自报分数;成功结果用同文件系统 stage 后原子替换。
  5. 将作者材料、参赛者 workspace 和优化证据分开。Docker COPY、WORKDIR、入口与选定的平台 profile 必须形成一条可执行路径。
  6. 先做小规模成对实跑,再决定是否值得开展双轨迹长跑。完成 Baseline/Reference、效应/噪声和独立复算后过 pilot 门;完成双镜像、Hidden 隔离和目标 Harness trial 后过 container 门。没有动态证据时明确写“未验证运行”。
  7. 双轨迹分别保存正式血缘与失败轮,完成机外快照和恢复演练后过 long_run 门。失败必须用新 trial 修复,不覆盖旧 receipt 或拼接不同轮次证据。
  8. 交付前使用 autoresearch-qa-skills-0.3.4 做双路独立本地质检。冻结唯一完整提交包 ZIP 及 SHA256;两种不同 AI 分别新建无历史上下文的会话,每个会话只发该 ZIP。不同模型家族优先,同类 AI 的不同版本也可以。不附带散文件、旧报告、作者解释或另一 AI 的结论。两路首轮质检均须完整实测;任一路命中硬失败或分歧未闭环即 NOT READY。审查报告是 release 门的输入,不能由作者原会话内自报结论替代。
  9. 开源或外发前对主包、QA/self-check、轨迹和证据附件分别做隐私与可移植性检查;生成报告不得保留作者 home、凭据值或私有文件链接。按 出题合同 生成 release-evidence.json,再运行 python3 scripts/authoring_gate.py release release-evidence.json。门禁会读取并校验两份 QA 报告、共识、隐私报告和 manifest 的内容与 SHA256;任一引用缺失、摘要被篡改、模型或会话不独立、ZIP 不同源或有未解决分歧都必须失败。

输出至少包括题面、接口、Starter、Baseline、Reference、评分器、冻结清单、证据清单、构建说明和验收命令。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Autoresearch Task Authoring AI skill do?

从论文与代码仓设计可交付的 AutoResearch 工程题,确定 Starter、Baseline、Reference、评分器、Harbor 结构和证据契约。用于出题、改题或审题;不替代提交包最终 QA。

Why use Autoresearch Task Authoring on TypingMind?

Because you install it once and use it with any model. Autoresearch Task Authoring is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Autoresearch Task Authoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-task-authoring. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Autoresearch Task Authoring?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Autoresearch Task Authoring?

As many as you like. As long as a model supports skills, you can use Autoresearch Task Authoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Autoresearch Task Authoring AI skill free?

Yes. It is published on GitHub by bosprimigenious under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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