Agent skill

Autoresearch Orchestration

by BingHanOfUESTC in BingHanOfUESTC/open_agent_team

A skill your agent uses when autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery.

MITAuto-check passedAgent Workflows

Install Autoresearch Orchestration

skills CLI
$ npx skills add BingHanOfUESTC/open_agent_team --skill autoresearch-orchestration -a claude-code

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

GitHub CLI
$ gh skill install BingHanOfUESTC/open_agent_team autoresearch-orchestration --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/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/teams/auto_research_team/skills/autoresearch-orchestration .claude/skills/autoresearch-orchestration && 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-orchestration
GitHub stars
106
Token cost
~691 tokens
SKILL.md length
149 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery.

  • Works in 5 steps: Workspace Contract → Two-Loop Operation → Decision Register → …
  • Autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Open-ended research tasks

What it does

Autoresearch Orchestration is an agent skill from BingHanOfUESTC/open_agent_team. Use this skill when autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery. Trigger for open-ended research tasks, autonomous research loops, idea-to-paper workflows, or long-running experiment iteration.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Autonomous loops and LaTeX. It works with LaTeX. The repository describes itself as: Build persistent multi-agent teams that collaborate like real organizations to deliver complex tasks. The licence is MIT.

When your agent uses it

  • Autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature
  • Open-ended research tasks
  • Autonomous research loops
  • Idea-to-paper workflows

Example prompts

  • “/autoresearch-orchestration”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Workspace Contract
  2. Two-Loop Operation
  3. Decision Register
  4. Boss Escalation
  5. Done Criteria

What it can do on your machine

Read from SKILL.md and the folder at commit 7e28736. 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 (its code samples are markdown).

    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 Orchestration loads about 691 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 149 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~691

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 BingHanOfUESTC/open_agent_team at commit 7e28736, republished under its MIT licence (© BingHanOfUESTC). 149 words, ~691 tokens.

Download SKILL.mdSave it as .claude/skills/autoresearch-orchestration/SKILL.md (or your agent's skills folder).
name
autoresearch-orchestration
description
Use this skill when auto_research_team needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery. Trigger for open-ended research tasks, autonomous research loops, idea-to-paper workflows, or long-running experiment iteration.

Autoresearch Orchestration

This skill gives auto_research_team a durable control loop. It is inspired by open-source auto-research systems, but the operating procedure here is specific to this repository.

Use it when the task is larger than a single literature review or code change.


1. Workspace Contract

Create or update:

text
research_workspace/research_state.md
research_workspace/research_log.md
research_workspace/findings.md
research_workspace/decision_register.md
research_workspace/to_boss.md

research_state.md tracks the current stage:

text
scope
literature
idea
plan
code_data
environment
implementation
experiment
analysis
paper
delivery
blocked

findings.md is persistent memory. Never bury lessons only in chat.


2. Two-Loop Operation

Outer synthesis loop:

text
1. collect evidence
2. update gap map
3. revise idea
4. revise experiment plan
5. decide whether to continue, pivot, or stop

Inner experiment loop:

text
1. choose smallest decisive experiment
2. run smoke test
3. run baseline
4. run main variant
5. run ablation or diagnostic
6. update results table

The team must not jump to paper writing until both loops have produced traceable evidence or a clearly documented negative result.


3. Decision Register

Every major decision must be written as:

markdown
## Decision <N>: <short title>

- Date:
- Owner:
- Options considered:
- Evidence:
- Decision:
- Risk:
- Reversal condition:

Use this for selecting papers, rejecting datasets, choosing the main idea, changing baseline, stopping training, or downgrading experiments.


4. Boss Escalation

Escalate only when progress requires Boss input:

text
data license requires approval
paid API or paid compute is required
private dataset credentials are missing
hardware is insufficient for all meaningful validation
research objective conflicts with safety or license constraints

Otherwise make a conservative assumption, record it, and continue.


5. Done Criteria

The loop is complete only when:

text
research question is explicit
literature evidence is traceable
idea is tied to a gap
code/data/environment status is known
experiments or valid downgrades are logged
result analysis states supported and unsupported claims
LaTeX report compiles or failure is recorded
artifact manifest and reproduction guide exist

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

Files

Just SKILL.md in teams/auto_research_team/skills/autoresearch-orchestration of BingHanOfUESTC/open_agent_team.

Open the folder on GitHubat commit 7e28736

Compare with similar skills

Autoresearch Orchestration 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 Orchestration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autoresearch Orchestration this skillBingHanOfUESTC/open_agent_team106—~691Automated safety check: PassMIT
Evidence Ledgerwanshuiyin/Anti-Autoresearch160—~11kAutomated safety check: NotesMIT
Proof Derivation Forensicswanshuiyin/Anti-Autoresearch160—~13kAutomated safety check: NotesMIT
Mathmodel SkillhandsomeZR-netizen/mathmodel-skill292—~2.5kAutomated safety check: PassMIT
Leetcuda Tex To Readthedocsxlite-dev/LeetCUDA12k—~902Automated safety check: PassGPL-3.0
Research Writingalfonso0512/research-writing-skill4901 repos~818Automated safety check: PassMIT

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Works with

Questions about Autoresearch Orchestration

What does Autoresearch Orchestration do?

A skill your agent uses when autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery. Autoresearch Orchestration is an agent skill from BingHanOfUESTC/open_agent_team. Use this skill when autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature, idea, implementation, experiments, synthesis, and LaTeX delivery.

When should I use Autoresearch Orchestration?

Autoresearch Orchestration fits situations like: autoresearchteam needs to manage an end-to-end research lifecycle from Boss brief to literature; open-ended research tasks; autonomous research loops; idea-to-paper workflows.

How do I install Autoresearch Orchestration in Claude Code?

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

How do I install Autoresearch Orchestration in Codex?

Run `npx skills add BingHanOfUESTC/open_agent_team --skill autoresearch-orchestration -a codex`. Or copy the skill folder (teams/auto_research_team/skills/autoresearch-orchestration in BingHanOfUESTC/open_agent_team) into .agents/skills/autoresearch-orchestration in your project. Codex loads it when a task matches its description.

Can I use Autoresearch Orchestration 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 BingHanOfUESTC/open_agent_team --skill autoresearch-orchestration -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-orchestration, .gemini/skills/autoresearch-orchestration, .github/skills/autoresearch-orchestration and .opencode/skills/autoresearch-orchestration in your project.

What does Autoresearch Orchestration need to run?

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

Does Autoresearch Orchestration 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 Orchestration 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 Orchestration use?

Autoresearch Orchestration 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 Orchestration use?

About 691 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Autoresearch Orchestration?

Skills that share tags, products or a category with Autoresearch Orchestration: Evidence Ledger (wanshuiyin/Anti-Autoresearch, 160 stars), Proof Derivation Forensics (wanshuiyin/Anti-Autoresearch, 160 stars), Mathmodel Skill (handsomeZR-netizen/mathmodel-skill, 292 stars) and Leetcuda Tex To Readthedocs (xlite-dev/LeetCUDA, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autoresearch Orchestration?

BingHanOfUESTC (a GitHub user) maintains it in BingHanOfUESTC/open_agent_team, which has 106 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on June 23, 2026.

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