Research Survey
EvoScientist/EvoSkills
Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary…
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…
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-control --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "research-depth-control" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-control into .claude/skills/research-depth-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-depth-control", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-controlType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-control --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/teams/auto_research_team/skills/research-depth-control .agents/skills/research-depth-control && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-depth-control" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-control into .agents/skills/research-depth-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-depth-control", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-control --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/teams/auto_research_team/skills/research-depth-control .cursor/skills/research-depth-control && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "research-depth-control" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-control into .cursor/skills/research-depth-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-depth-control", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BingHanOfUESTC/open_agent_team.git --path teams/auto_research_team/skills/research-depth-control--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-control --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/teams/auto_research_team/skills/research-depth-control .gemini/skills/research-depth-control && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "research-depth-control" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-control into .gemini/skills/research-depth-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-depth-control", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-controlInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .github/skills && cp -r skills-src/teams/auto_research_team/skills/research-depth-control .github/skills/research-depth-control && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "research-depth-control" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-control into .github/skills/research-depth-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-depth-control", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BingHanOfUESTC/open_agent_team --skill research-depth-control -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BingHanOfUESTC/open_agent_team research-depth-control --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/teams/auto_research_team/skills/research-depth-control .opencode/skills/research-depth-control && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "research-depth-control" agent skill from https://github.com/BingHanOfUESTC/open_agent_team/tree/main/teams/auto_research_team/skills/research-depth-control into .opencode/skills/research-depth-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-depth-control", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
research-depth-controlA 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.
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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7e28736. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from BingHanOfUESTC/open_agent_team at commit 7e28736, republished under its MIT licence (© BingHanOfUESTC). 188 words, ~989 tokens.
.claude/skills/research-depth-control/SKILL.md (or your agent's skills folder).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.
Default targets unless Boss narrows the scope:
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 combinedFor 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:
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 CodeEach pass must record:
query
source/index
date searched
number of hits screened
inclusion/exclusion rationale
new papers addedDo not stop after a single search engine or a single query phrasing.
The final paper set should cover these buckets where applicable:
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 bottleneckIf one bucket is empty, explain whether it is irrelevant or still an evidence gap.
Before idea selection, require:
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 referencesBefore paper writing, require:
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.bibIf 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.
Create:
research_workspace/literature/citation_coverage.mdUse this structure:
# Citation Coverage
## Coverage Summary
| Bucket | Target | Actual | Status |
|---|---:|---:|---|
## Section Coverage
| Paper Section | Claims Needing Citations | Citation Keys | Missing |
|---|---|---|---|
## Under-Cited Areas
## Papers Excluded From Citationlatex_report_agent must consult this file before finalizing main.tex.
Create:
research_workspace/literature/claim_ledger.mdEvery claim that may enter the paper must be recorded as:
## 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
Just SKILL.md in teams/auto_research_team/skills/research-depth-control of BingHanOfUESTC/open_agent_team.
Open the folder on GitHubat commit 7e28736
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Research Depth Control this skillBingHanOfUESTC/open_agent_team | 106 | — | ~989 | Automated safety check: Pass | MIT | |
| Research SurveyEvoScientist/EvoSkills | 476 | 3 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Paper SkillcLin-c/paper-skill | 119 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Academic Paperbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~7.3k | Automated safety check: Pass | Custom licence | |
| Research Paper WritingAlexAI-MCP/hermes-CCC | 135 | — | ~1.2k | Automated safety check: Notes | MIT |
EvoScientist/EvoSkills
Generates structured literature survey reports from collected papers using a multi-stage pipeline: outline generation (query-type adaptive) → draft survey → section-by-section expansion → summary…
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
cLin-c/paper-skill
End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX…
brycewang-stanford/Auto-Empirical-Research-Skills
Academic paper writing skill with 12-agent pipeline. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
AlexAI-MCP/hermes-CCC
Academic paper writing workflow — literature review, LaTeX setup, structure, citations, and conference submissions.
hanlulong/econ-writing-skill
Expert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists.
BingHanOfUESTC/open_agent_team
A skill your agent uses when validating a newly created or updated agent skill with structure checks, routing positive and negative examples, contamination checks, progressive disclosure review, and…
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.
BingHanOfUESTC/open_agent_team
A skill your agent uses when designing, running, logging, diagnosing, or iterating experiments for the selected research idea.
BingHanOfUESTC/open_agent_team
A skill your agent uses when producing the final arXiv-style LaTeX paper, BibTeX, figures, tables, reproducibility statement, appendix, and artifact manifest.
BingHanOfUESTC/open_agent_team
A skill your agent uses when discovering papers, mapping related work, reading papers deeply, checking citations, or building evidence cards for an auto research task.
BingHanOfUESTC/open_agent_team
A skill your agent uses when PPT slides need external images, screenshots, logos, product photos, stock-like visuals, diagrams, or videos that must be downloaded, inserted, or linked with source and…
Works with
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Research Depth Control is instructions for the agent only.
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.
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.
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.
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.
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.
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.