GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
Install Research Report
$ npx skills add Weizhena/Deep-Research-skills --skill research-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-report --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/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-en/research-report .claude/skills/research-report && 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-report" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-report into .claude/skills/research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-report", 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/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-reportType 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 Weizhena/Deep-Research-skills --skill research-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-report --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-en/research-report .agents/skills/research-report && 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-report" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-report into .agents/skills/research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-report", 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 Weizhena/Deep-Research-skills --skill research-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-report --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-en/research-report .cursor/skills/research-report && 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-report" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-report into .cursor/skills/research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-report", 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/Weizhena/Deep-Research-skills.git --path skills/research-en/research-report--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 Weizhena/Deep-Research-skills --skill research-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-report --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-en/research-report .gemini/skills/research-report && 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-report" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-report into .gemini/skills/research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-report", 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 Weizhena/Deep-Research-skills research-reportInstalls 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 Weizhena/Deep-Research-skills --skill research-report -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-en/research-report .github/skills/research-report && 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-report" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-report into .github/skills/research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-report", 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 Weizhena/Deep-Research-skills --skill research-report -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-report --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-en/research-report .opencode/skills/research-report && 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-report" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-en/research-report into .opencode/skills/research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-report", 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.
Facts
- Skill name
research-report- GitHub stars
- 2.3k
- Used in
- 2 other repos
- Token cost
- ~963 tokens
- SKILL.md length
- 374 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
- Works in 4 steps: Locate Results Directory → Scan Optional Summary Fields → Generate Python Conversion Script → …
- Tasks that involve Deep research
- SKILL.md covers Trigger, Workflow and Output
- Calls python
What it does
Research Report is an agent skill from Weizhena/Deep-Research-skills. Summarize deep research results into markdown report, cover all fields, skip uncertain values.
Its SKILL.md is about 960 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 Deep research. The repository describes itself as: Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control. The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/research-report”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Glob, Bash, AskUserQuestion
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6ce38f6. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteGlobBashAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python
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 Report loads about 963 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 374 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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Write, Glob, Bash, AskUserQuestion
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 Weizhena/Deep-Research-skills at commit 6ce38f6, republished under its MIT licence (© Weizhena). 374 words, ~963 tokens.
Download SKILL.mdSave it as
.claude/skills/research-report/SKILL.md (or your agent's skills folder).- name
- research-report
- description
- Summarize deep research results into markdown report, cover all fields, skip uncertain values.
- allowed-tools
- Read, Write, Glob, Bash, AskUserQuestion
- user-invocable
- true
Research Report - Summary Report
Trigger
/research-report
Workflow
Step 1: Locate Results Directory
Find */outline.yaml in current working directory, read topic and output_dir config.
Step 2: Scan Optional Summary Fields
Read all JSON results, extract fields suitable for TOC display (numeric, short metrics), e.g.:
- github_stars
- google_scholar_cites
- swe_bench_score
- user_scale
- valuation
- release_date
Use AskUserQuestion to ask user:
- Which fields to display in TOC besides item name?
- Provide dynamic options list (based on actual fields in JSON)
Step 3: Generate Python Conversion Script
Generate generate_report.py in {topic}/ directory, script requirements:
- Read all JSON from output_dir
- Read fields.yaml to get field structure
- Cover all field values from each JSON
- Skip fields with values containing [uncertain]
- Skip fields listed in uncertain array
- Generate markdown report format: Table of contents (with anchor links + user-selected summary fields) + Detailed content (by field category)
- Save to
{topic}/report.md
TOC Format Requirements:
- Must include every item
- Each item displays: number, name (anchor link), user-selected summary fields
- Example:
1. [GitHub Copilot](#github-copilot) - Stars: 10k | Score: 85%
Script Technical Requirements (Must Follow)
1. JSON Structure Compatibility Support two JSON structures:
- Flat structure: Fields directly at top level
{"name": "xxx", "release_date": "xxx"} - Nested structure: Fields in category sub-dict
{"basic_info": {"name": "xxx"}, "technical_features": {...}}
Field lookup order: Top level -> category mapping key -> Traverse all nested dicts
2. Category Multi-language Mapping fields.yaml category names and JSON keys can be any combination (CN-CN, CN-EN, EN-CN, EN-EN). Must establish bidirectional mapping:
Show full SKILL.md (144 more words)Show less
CATEGORY_MAPPING = {
"Basic Info": ["basic_info", "Basic Info"],
"Technical Features": ["technical_features", "technical_characteristics", "Technical Features"],
"Performance Metrics": ["performance_metrics", "performance", "Performance Metrics"],
"Milestone Significance": ["milestone_significance", "milestones", "Milestone Significance"],
"Business Info": ["business_info", "commercial_info", "Business Info"],
"Competition & Ecosystem": ["competition_ecosystem", "competition", "Competition & Ecosystem"],
"History": ["history", "History"],
"Market Positioning": ["market_positioning", "market", "Market Positioning"],
}3. Complex Value Formatting
- list of dicts (e.g., key_events, funding_history): Format each dict as one line, separate kv with
| - Normal list: Short lists joined with comma, long lists displayed with line breaks
- Nested dict: Recursive formatting, display with semicolon or line breaks
- Long text strings (over 100 chars): Add line breaks
<br>or use blockquote format for readability
4. Extra Fields Collection Collect fields that exist in JSON but not defined in fields.yaml, put in "Other Info" category. Note to filter:
- Internal fields:
_source_file,uncertain - Nested structure top-level keys:
basic_info,technical_featuresetc. uncertainarray: Display each field name on separate line, don't compress into one line
5. Uncertain Value Skipping Skip conditions:
- Field value contains
[uncertain]string - Field name is in
uncertainarray - Field value is None or empty string
Step 4: Execute Script
Run python {topic}/generate_report.py
Output
{topic}/generate_report.py- Conversion script{topic}/report.md- Summary report
© Weizhena, 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 skills/research-en/research-report of Weizhena/Deep-Research-skills.
Open the folder on GitHubat commit 6ce38f6
Used in 2 other repositories
We found 10 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Weizhena/Deep-Research-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Research Report 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 Report this skillWeizhena/Deep-Research-skills | 2.3k | 2 repos | ~963 | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 431 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
Similar skills
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Academic Research Suite for Codex
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
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Related
Categories
Questions about Research Report
What does Research Report do?
Summarize deep research results into markdown report, cover all fields, skip uncertain values. Research Report is an agent skill from Weizhena/Deep-Research-skills. Summarize deep research results into markdown report, cover all fields, skip uncertain values.
When should I use Research Report?
Research Report fits situations like: tasks that involve Deep research.
How do I install Research Report in Claude Code?
Run `npx skills add Weizhena/Deep-Research-skills --skill research-report -a claude-code`. Or copy the skill folder (skills/research-en/research-report in Weizhena/Deep-Research-skills) into .claude/skills/research-report in your project. Claude Code loads it when a task matches its description.
How do I install Research Report in Codex?
Run `npx skills add Weizhena/Deep-Research-skills --skill research-report -a codex`. Or copy the skill folder (skills/research-en/research-report in Weizhena/Deep-Research-skills) into .agents/skills/research-report in your project. Codex loads it when a task matches its description.
Can I use Research Report 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 Weizhena/Deep-Research-skills --skill research-report -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-report, .gemini/skills/research-report, .github/skills/research-report and .opencode/skills/research-report in your project.
What does Research Report need to run?
Going by SKILL.md and its folder, Research Report needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Glob, Bash, AskUserQuestion.
Does Research Report 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 Report safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Research Report use?
Research Report 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 Report use?
About 963 tokens (SKILL.md is roughly 3.9k 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 Report?
Skills that share tags, products or a category with Research Report: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 431 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research Report?
Weizhena (a GitHub user) maintains it in Weizhena/Deep-Research-skills, which has 2,319 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on August 23, 2026.
Source: Weizhena/Deep-Research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.