Agent skill

Research Depth Control

by BingHanOfUESTC in BingHanOfUESTC/open_agent_team

A skill your agent uses when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from…

MITAuto-check passedResearch & Science

Install Research Depth Control

skills CLI
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a claude-code

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

GitHub CLI
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-control --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/research-depth-control .claude/skills/research-depth-control && 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
research-depth-control
GitHub stars
106
Token cost
~989 tokens
SKILL.md length
188 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from…

  • Works in 6 steps: Depth Targets → Four-Pass Search → Source Stratification → …
  • Autoresearchteam needs deeper literature coverage
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • More citations in paper writing

What it does

Research Depth Control is an agent skill from BingHanOfUESTC/open_agent_team. Use this skill when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from reaching ideation or LaTeX.

Its SKILL.md is about 990 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 Research & Science, covering LaTeX, Scientific writing and Brainstorming. 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 deeper literature coverage
  • More citations in paper writing
  • Stronger related-work synthesis
  • A gate that prevents shallow research from reaching ideation

Example prompts

  • “/research-depth-control”

Workflow steps

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

  1. Depth Targets
  2. Four-Pass Search
  3. Source Stratification
  4. Evidence Density Gate
  5. Citation Coverage Map
  6. Claim Ledger

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

Research Depth Control loads about 989 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 188 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~989

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). 188 words, ~989 tokens.

Download SKILL.mdSave it as .claude/skills/research-depth-control/SKILL.md (or your agent's skills folder).
name
research-depth-control
description
Use this skill when auto_research_team needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from reaching ideation or LaTeX.

Research Depth Control

This skill raises the research-depth floor for auto research tasks. Use it together with literature-evidence-mapping before ideation, before experiment planning, and again before final paper writing.


1. Depth Targets

Default targets unless Boss narrows the scope:

text
candidate papers: 30-60
included papers: 15-30
deep-read papers: 8-12
baseline/source papers: 3-6
recent papers: at least 5 from the last 24 months when the field is active
negative/limitation papers: at least 3
code/data/benchmark sources: at least 5 combined

For small or niche fields, record why the target cannot be met and list the exact searches that were exhausted.


Run and log four distinct passes:

text
breadth pass: broad field terms, surveys, benchmark papers, classic baselines
depth pass: citation chasing from top papers, authors, labs, official repos
gap pass: limitations, failure modes, robustness, negative results, open problems
recency pass: latest 6-24 month papers from arXiv/OpenReview/venue pages/Papers With Code

Each pass must record:

text
query
source/index
date searched
number of hits screened
inclusion/exclusion rationale
new papers added

Do not stop after a single search engine or a single query phrasing.


3. Source Stratification

The final paper set should cover these buckets where applicable:

text
foundational work
strong baseline methods
most recent frontier methods
benchmark/dataset/evaluation papers
reproducibility or implementation sources
failure/limitation/negative evidence
adjacent methods that solve a similar bottleneck

If one bucket is empty, explain whether it is irrelevant or still an evidence gap.


4. Evidence Density Gate

Before idea selection, require:

text
at least 15 included papers or a documented niche-field exception
at least 8 deep-read evidence cards
at least 3 papers tied to the chosen benchmark/dataset
at least 3 explicit limitations or open problems cited from papers
at least 2 reusable baselines or implementation references

Before paper writing, require:

text
Related Work cites at least 12 papers for a normal ML/CS research report
Introduction cites at least 4 papers spanning motivation, gap, and baseline context
Method cites all directly reused algorithmic components
Experiments cites dataset, metric, benchmark, and baseline sources
Every paragraph in Related Work has at least one citation
Every non-obvious prior-work claim is backed by a BibTeX key in references.bib

If the work is a short internal report, Boss may lower the citation target, but the lowered target must be written in research_workspace/research_state.md.


5. Citation Coverage Map

Create:

text
research_workspace/literature/citation_coverage.md

Use this structure:

markdown
# Citation Coverage

## Coverage Summary
| Bucket | Target | Actual | Status |
|---|---:|---:|---|

## Section Coverage
| Paper Section | Claims Needing Citations | Citation Keys | Missing |
|---|---|---|---|

## Under-Cited Areas

## Papers Excluded From Citation

latex_report_agent must consult this file before finalizing main.tex.


6. Claim Ledger

Create:

text
research_workspace/literature/claim_ledger.md

Every claim that may enter the paper must be recorded as:

markdown
## Claim <N>: <short claim>

- Type: background | related_work | method | experiment | limitation
- Support: paper card id, section/table/figure, or experiment id
- Confidence: high | medium | low
- Allowed wording:
- Forbidden wording:
- Citation key or artifact path:

Do not use unsupported claims in the final paper.

© 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/research-depth-control of BingHanOfUESTC/open_agent_team.

Open the folder on GitHubat commit 7e28736

Compare with similar skills

Research Depth Control 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.

Research Depth Control compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Depth Control this skillBingHanOfUESTC/open_agent_team106—~989Automated safety check: PassMIT
Research SurveyEvoScientist/EvoSkills4763 repos~2.5kAutomated safety check: PassApache-2.0
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Paper SkillcLin-c/paper-skill119—~2.6kAutomated safety check: PassMIT
Academic Paperbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~7.3kAutomated safety check: PassCustom licence
Research Paper WritingAlexAI-MCP/hermes-CCC135—~1.2kAutomated safety check: NotesMIT

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Works with

Questions about Research Depth Control

What does Research Depth Control do?

A skill your agent uses when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from…. Research Depth Control is an agent skill from BingHanOfUESTC/open_agent_team. Use this skill when autoresearchteam needs deeper literature coverage, more citations in paper writing, stronger related-work synthesis, or a gate that prevents shallow research from reaching ideation or LaTeX.

When should I use Research Depth Control?

Research Depth Control fits situations like: autoresearchteam needs deeper literature coverage; more citations in paper writing; stronger related-work synthesis; A gate that prevents shallow research from reaching ideation.

How do I install Research Depth Control in Claude Code?

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

How do I install Research Depth Control in Codex?

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

Can I use Research Depth Control 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 research-depth-control -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-depth-control, .gemini/skills/research-depth-control, .github/skills/research-depth-control and .opencode/skills/research-depth-control in your project.

What does Research Depth Control need to run?

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

Does Research Depth Control 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 Research Depth Control 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 Research Depth Control use?

Research Depth Control 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 Research Depth Control use?

About 989 tokens (SKILL.md is roughly 4k 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 Research Depth Control?

Skills that share tags, products or a category with Research Depth Control: Research Survey (EvoScientist/EvoSkills, 476 stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Paper Skill (cLin-c/paper-skill, 119 stars) and Academic Paper (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Depth Control?

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.