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Agent skill

Autoresearch Optimization Surface

by bosprimigenious in bosprimigenious/autoresearch-skills

从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。

MITAuto-check passedAgent Workflows

Install Autoresearch Optimization Surface

skills CLI
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-optimization-surface -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-optimization-surface --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autoresearch-optimization-surface .claude/skills/autoresearch-optimization-surface && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
autoresearch-optimization-surface
GitHub stars
152
Token cost
~127 tokens
SKILL.md length
10 words
Files
5 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。

  • Tasks that involve Autonomous loops
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Autoresearch Optimization Surface is an agent skill from bosprimigenious/autoresearch-skills. 从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。

Its SKILL.md is about 130 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `AGENTS.md`, `CLAUDE.md` and `agents/openai.yaml`).

It sits in Agent Workflows, covering Autonomous loops. The repository describes itself as: Reusable skills for AutoResearch task design, isolation, QA, and handoff. The licence is MIT.

When your agent uses it

  • Tasks that involve Autonomous loops

Example prompts

  • “/autoresearch-optimization-surface”

What it can do on your machine

Read from SKILL.md and the folder at commit d8ff7e2. 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

    No URLs in SKILL.md.

    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

Autoresearch Optimization Surface loads about 127 tokens when it runs, and up to ~556 if it reads all its reference files. Until then it costs about 29 tokens; SKILL.md has 10 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~127
With references · SKILL.md plus every file in references/, read only if the agent opens them
~556

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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 bosprimigenious/autoresearch-skills at commit d8ff7e2, republished under its MIT licence (© bosprimigenious). 10 words, ~127 tokens.

Download SKILL.mdSave it as .claude/skills/autoresearch-optimization-surface/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
autoresearch-optimization-surface
description
从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。

AutoResearch 优化面选择

阅读 selection-gates.md，并对每个候选给出代码入口、Baseline、可改方法族、主指标、质量门、成本和证据来源。

优先选择能够修改算法或计算图、可由固定接口承载、能用成对实验复算的方向。单纯学习率、epoch、阈值或常量搜索不作为方法级优化面；只有当题目开放了产生新方法的实现接口时，参数可以是方法的一部分。

先用最小真实实验验证：Baseline 正常、Reference 有稳定正向改善、质量门不过拟合单一 seed、逐条件代价在预算内。任何一项不成立就换方向，不用长轨迹掩盖不可行题目。

最终输出一个推荐方向和最多两个备选；推荐必须说明为什么它比备选更安全，以及失败时的退出条件。

© bosprimigenious, MIT. 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 4 other files (references) in skills/autoresearch-optimization-surface of bosprimigenious/autoresearch-skills.

  • SKILL.md
  • AGENTS.md
  • CLAUDE.md
  • agents/openai.yaml
  • references/selection-gates.md

Open the folder on GitHubat commit d8ff7e2

Compare with similar skills

Autoresearch Optimization Surface next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Autoresearch Optimization Surface compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autoresearch Optimization Surface this skillbosprimigenious/autoresearch-skills152—~127Automated safety check: PassMIT
Show Me Your Work Decision Logcursor/plugins10k8 repos~1.6kAutomated safety check: PassNone
Autoresearch Iteration Loopuditgoenka/autoresearch6.5k1 repos~2kAutomated safety check: PassMIT
Install Loop Engineeringcobusgreyling/loop-engineering11k1 repos~648Automated safety check: PassMIT
LoopyForward-Future/loopy3.2k—~3.9kAutomated safety check: PassMIT
AI Performance Improvement Plantanweai/pua20k2 repos~6.9kAutomated safety check: PassMIT

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More from bosprimigenious/autoresearch-skills

All 8 skills in this repo

  • Autoresearch Baseline Quality

    bosprimigenious/autoresearch-skills

    对 AutoResearch 的正式 Baseline 做只读合理性审查，检查训练不足、实现故障、预算或 seed 不公平及缺乏代表性的弱对照，区分合理 naive Starter 与评分锚点。适用于专家提交包和 Baseline/Reference 证据复核，不用于求解任务或要求 Baseline 达到 SOTA。

    152 GitHub stars~1.1k tokensUpdated 4 days ago
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  • Autoresearch Paper Discovery

    bosprimigenious/autoresearch-skills

    自主检索、去重并筛选可转化为 AutoResearch 优化任务的论文，核查论文与源码许可、优化面、评测、资源、效应噪声和目标 Harness 可交付性。用于从零找论文、维护候选池或在投入实现前做选题预检；不用于已经确定论文后的实验执行。

    152 GitHub stars~506 tokensUpdated 4 days ago
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  • Autoresearch Task QA

    bosprimigenious/autoresearch-skills

    对 AutoResearch 目录或 ZIP 做只读质检；先审优化面是否仅调参、Baseline 是否合理、Reference 提升是否充分，再查 21 项实现、严格 Docker 路径、Harbor 接口与成对训练证据。输出方法介绍、完整跑分、专家退回说明及 TXT/Markdown/JSON 报告；不用于求解任务。

    152 GitHub stars~1.6k tokensUpdated 4 days ago
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  • Autoresearch Run Isolation

    bosprimigenious/autoresearch-skills

    为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。

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  • Autoresearch Task Authoring

    bosprimigenious/autoresearch-skills

    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。

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  • Autoresearch Feishu Three Table

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Categories

Questions about Autoresearch Optimization Surface

What does Autoresearch Optimization Surface do?

从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。. Autoresearch Optimization Surface is an agent skill from bosprimigenious/autoresearch-skills.

When should I use Autoresearch Optimization Surface?

Autoresearch Optimization Surface fits situations like: tasks that involve Autonomous loops.

How do I install Autoresearch Optimization Surface in Claude Code?

Run `npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-optimization-surface -a claude-code`. Or copy the skill folder (skills/autoresearch-optimization-surface in bosprimigenious/autoresearch-skills) into .claude/skills/autoresearch-optimization-surface in your project. Claude Code loads it when a task matches its description.

How do I install Autoresearch Optimization Surface in Codex?

Run `npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-optimization-surface -a codex`. Or copy the skill folder (skills/autoresearch-optimization-surface in bosprimigenious/autoresearch-skills) into .agents/skills/autoresearch-optimization-surface in your project. Codex loads it when a task matches its description.

Can I use Autoresearch Optimization Surface in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-optimization-surface -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autoresearch-optimization-surface, .gemini/skills/autoresearch-optimization-surface, .github/skills/autoresearch-optimization-surface and .opencode/skills/autoresearch-optimization-surface in your project.

What does Autoresearch Optimization Surface need to run?

SKILL.md names no scripts, command-line tools or credentials: Autoresearch Optimization Surface is instructions for the agent only.

Does Autoresearch Optimization Surface access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Autoresearch Optimization Surface safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Autoresearch Optimization Surface use?

Autoresearch Optimization Surface is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Autoresearch Optimization Surface use?

About 127 tokens (SKILL.md is roughly 508 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 429 tokens, read only when the agent opens those files.

What are the alternatives to Autoresearch Optimization Surface?

Skills that share tags, products or a category with Autoresearch Optimization Surface: Show Me Your Work Decision Log (cursor/plugins, 10k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars), Install Loop Engineering (cobusgreyling/loop-engineering, 11k stars) and Loopy (Forward-Future/loopy, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autoresearch Optimization Surface?

bosprimigenious (a GitHub user) maintains it in bosprimigenious/autoresearch-skills, which has 152 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 4, 2026.

Source: bosprimigenious/autoresearch-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.