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.
Research with scoped depth and counterevidence. An agent skill from TheGoat395/Codex-Skills.
Install Deep Research
$ npx skills add TheGoat395/Codex-Skills --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TheGoat395/Codex-Skills deep-research --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/TheGoat395/Codex-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deep-research .claude/skills/deep-research && 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 "deep-research" agent skill from https://github.com/TheGoat395/Codex-Skills/tree/main/skills/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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/TheGoat395/Codex-Skills/tree/main/skills/deep-researchType 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 TheGoat395/Codex-Skills --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TheGoat395/Codex-Skills deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheGoat395/Codex-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deep-research .agents/skills/deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research" agent skill from https://github.com/TheGoat395/Codex-Skills/tree/main/skills/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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 TheGoat395/Codex-Skills --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TheGoat395/Codex-Skills deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheGoat395/Codex-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deep-research .cursor/skills/deep-research && 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 "deep-research" agent skill from https://github.com/TheGoat395/Codex-Skills/tree/main/skills/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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/TheGoat395/Codex-Skills.git --path skills/deep-research--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 TheGoat395/Codex-Skills --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TheGoat395/Codex-Skills deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheGoat395/Codex-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deep-research .gemini/skills/deep-research && 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 "deep-research" agent skill from https://github.com/TheGoat395/Codex-Skills/tree/main/skills/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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 TheGoat395/Codex-Skills deep-researchInstalls 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 TheGoat395/Codex-Skills --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TheGoat395/Codex-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deep-research .github/skills/deep-research && 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 "deep-research" agent skill from https://github.com/TheGoat395/Codex-Skills/tree/main/skills/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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 TheGoat395/Codex-Skills --skill deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TheGoat395/Codex-Skills deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheGoat395/Codex-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deep-research .opencode/skills/deep-research && 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 "deep-research" agent skill from https://github.com/TheGoat395/Codex-Skills/tree/main/skills/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", 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
deep-research- GitHub stars
- 126
- Token cost
- ~1.4k tokens
- SKILL.md length
- 676 words
- Files
- 7 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
Research with scoped depth and counterevidence. An agent skill from TheGoat395/Codex-Skills.
- Works in 5 steps: Identify the decision, deliverable, or… → Derive scope, exclusions, time horizon,… → Define observable acceptance criteria… → …
- Tasks that involve Deep research
- SKILL.md covers Read for the chosen depth, Establish the Research Contract, Calibrate Depth and Apply the Evidence Hierarchy, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Research is an agent skill from TheGoat395/Codex-Skills. Research with scoped depth and counterevidence.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `agents/openai.yaml`, `references/access-and-continuity.md` and `references/challenger-and-handoff.md`).
It sits in Research & Science, covering Deep research. The repository describes itself as: Codex-first Agent Skills library for premium frontend, website, motion, accessibility, QA, and handoff workflows. The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/deep-research”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Identify the decision, deliverable, or truth claim the research must support.
- Derive scope, exclusions, time horizon, freshness, jurisdiction, acceptable uncertainty, and failure conditions from the request and…
- Define observable acceptance criteria and what evidence could change the answer.
- Inspect the exact named sources and the governing material applicable to the decision. Read complete operative sections and enough…
- Make reasonable reversible assumptions when they preserve the objective; surface only assumptions that materially affect the result.
What it can do on your machine
Read from SKILL.md and the folder at commit feff772. 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
Deep Research loads about 1.4k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 15 tokens; SKILL.md has 676 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 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 TheGoat395/Codex-Skills at commit feff772, republished under its MIT licence (© TheGoat395). 676 words, ~1,354 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- deep-research
- description
- Research with scoped depth and counterevidence.
Deep Research
Produce a decision-ready result whose material claims can be traced to inspected evidence. Derive the necessary research universe from the objective, pursue it broadly and deeply in proportion to consequence, challenge the leading conclusion, and finish the natural in-scope work without waiting for follow-up prompts.
Read for the chosen depth
- Focused: apply the contract, hierarchy, exact claim support and stopping rule below; use the relevant sections of evidence standard when evidence ambiguity or an auditable ledger matters.
- Deep or exhaustive: read coverage and research passes and evidence standard before substantive research. Map, screen, deepen, challenge and verify; source count is not coverage.
- Exhaustive coverage, exceptional consecutive maximum-reasoning passes, or joint
$godmodework: also read challenger and handoff. Deep Research establishes the decision. If a separately installed$godmodeskill is explicitly invoked, use it for authorized execution; otherwise complete authorized implementation and verification directly. Its absence is not a blocker. - Material access/search failure or long, multi-surface, compaction-prone work: read the applicable recovery or checkpoint sections of access and continuity.
Inspect exact artifacts; snippets are discovery aids. Preserve protected-source exclusions on alternate routes. Challenge the strongest countercase and complete material in-scope omissions. Separate screened and deeply inspected coverage. For deep/exhaustive or consequential delivery, read research delivery; otherwise lead with the answer, exact supporting citations and material uncertainty. Instruction authority controls work, not empirical truth: test factual claims even in governing sources. Do not expand scope or force durable ledgers on small work.
Establish the Research Contract
- Identify the decision, deliverable, or truth claim the research must support.
- Derive scope, exclusions, time horizon, freshness, jurisdiction, acceptable uncertainty, and failure conditions from the request and governing sources.
- Define observable acceptance criteria and what evidence could change the answer.
- Inspect the exact named sources and the governing material applicable to the decision. Read complete operative sections and enough surrounding context to preserve meaning; expand to full documents or collections when requested or needed. Report partial coverage honestly rather than requiring an unrelated repository or account tour.
- Make reasonable reversible assumptions when they preserve the objective; surface only assumptions that materially affect the result.
Keep research read-only unless the request separately authorizes implementation, communication, purchasing, publication, or account mutation.
Show full SKILL.md (306 more words)Show less
Calibrate Depth
Classify the task before gathering evidence:
- Focused: resolve a bounded question with the smallest sufficient evidence.
- Deep: map the credible field, verify decisive claims, investigate contradictions, and recommend a direction.
- Exhaustive: derive the full relevant research graph, screen the broad field, deeply inspect the strongest bounded subset, run an adversarial completion pass, and create a decision-to-execution handoff in one invocation.
Use deep mode for explicit deep research. Reserve exhaustive bounded coverage for explicit exhaustive, maximum or complete research intent; keep focused, deep and exhaustive modes distinct. Do not make the user discover and request natural subquestions one at a time. Do not make a focused task exhaustive merely because more sources exist.
Apply the Evidence Hierarchy
Use current explicit instructions and governing sources to establish the requested scope and approved operating decisions. They do not make an empirical claim true. For factual support, use the strongest applicable evidence:
- Verified live state and direct records.
- Original authoritative evidence, including relevant governing records, first-party data, official documentation, filings, standards, source code, and primary materials.
- Independent analysis with visible methods and incentives.
- Credible specialist reporting.
- Community experience and anecdotal evidence as field signal.
- Metadata, summaries, snippets, and remembered context only as discovery aids.
Verify unstable facts live. Test incentivized claims independently when the decision warrants it. Do not inflate confidence by counting multiple retellings of one origin as independent evidence.
Stop at Decision Sufficiency
Stop when:
- acceptance criteria are met;
- all material coverage dimensions are addressed or explicitly unresolved;
- decisive claims use the strongest practical evidence;
- contradictions, inaccessible evidence, and uncertainty are visible;
- the recommendation survives the challenger pass;
- additional work is unlikely to change the decision enough to justify its cost.
Do not stop at the first plausible answer. Do not continue collecting repetitive evidence after the decision is stable.
© TheGoat395, 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 6 other files (references) in skills/deep-research of TheGoat395/Codex-Skills.
- SKILL.md
- agents/openai.yaml
- references/access-and-continuity.md
- references/challenger-and-handoff.md
- references/coverage-and-research-passes.md
- references/evidence-standard.md
- references/research-delivery.md
Open the folder on GitHubat commit feff772
Compare with similar skills
Deep Research 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 |
|---|---|---|---|---|---|---|
| Deep Research this skillTheGoat395/Codex-Skills | 126 | — | ~1.4k | Automated safety check: Pass | 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 | 432 | 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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Categories
Questions about Deep Research
What does Deep Research do?
Research with scoped depth and counterevidence. An agent skill from TheGoat395/Codex-Skills. Deep Research is an agent skill from TheGoat395/Codex-Skills. Research with scoped depth and counterevidence.
When should I use Deep Research?
Deep Research fits situations like: tasks that involve Deep research.
How do I install Deep Research in Claude Code?
Run `npx skills add TheGoat395/Codex-Skills --skill deep-research -a claude-code`. Or copy the skill folder (skills/deep-research in TheGoat395/Codex-Skills) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research in Codex?
Run `npx skills add TheGoat395/Codex-Skills --skill deep-research -a codex`. Or copy the skill folder (skills/deep-research in TheGoat395/Codex-Skills) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use Deep Research 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 TheGoat395/Codex-Skills --skill deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.
What does Deep Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Research is instructions for the agent only.
Does Deep Research 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 Deep Research 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 Deep Research use?
Deep Research 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 Deep Research use?
About 1.4k tokens (SKILL.md is roughly 5.4k 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 3k tokens, read only when the agent opens those files.
What are the alternatives to Deep Research?
Skills that share tags, products or a category with Deep Research: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 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 Deep Research?
TheGoat395 (a GitHub user) maintains it in TheGoat395/Codex-Skills, which has 126 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 11, 2026.
Source: TheGoat395/Codex-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.