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.
Web deep research producing a cited report from fetched sources, adversarially reviewed and gate-checked, with conclusions ingested into the knowledge graph.
$ npx skills add qf-studio/navigator --skill nav-deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qf-studio/navigator nav-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/qf-studio/navigator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nav-deep-research .claude/skills/nav-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 "nav-deep-research" agent skill from https://github.com/qf-studio/navigator/tree/main/skills/nav-deep-research into .claude/skills/nav-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nav-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/qf-studio/navigator/tree/main/skills/nav-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 qf-studio/navigator --skill nav-deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qf-studio/navigator nav-deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qf-studio/navigator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nav-deep-research .agents/skills/nav-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 "nav-deep-research" agent skill from https://github.com/qf-studio/navigator/tree/main/skills/nav-deep-research into .agents/skills/nav-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nav-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 qf-studio/navigator --skill nav-deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qf-studio/navigator nav-deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qf-studio/navigator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nav-deep-research .cursor/skills/nav-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 "nav-deep-research" agent skill from https://github.com/qf-studio/navigator/tree/main/skills/nav-deep-research into .cursor/skills/nav-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nav-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/qf-studio/navigator.git --path skills/nav-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 qf-studio/navigator --skill nav-deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qf-studio/navigator nav-deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qf-studio/navigator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nav-deep-research .gemini/skills/nav-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 "nav-deep-research" agent skill from https://github.com/qf-studio/navigator/tree/main/skills/nav-deep-research into .gemini/skills/nav-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nav-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 qf-studio/navigator nav-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 qf-studio/navigator --skill nav-deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qf-studio/navigator.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nav-deep-research .github/skills/nav-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 "nav-deep-research" agent skill from https://github.com/qf-studio/navigator/tree/main/skills/nav-deep-research into .github/skills/nav-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nav-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 qf-studio/navigator --skill nav-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 qf-studio/navigator nav-deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qf-studio/navigator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nav-deep-research .opencode/skills/nav-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 "nav-deep-research" agent skill from https://github.com/qf-studio/navigator/tree/main/skills/nav-deep-research into .opencode/skills/nav-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nav-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.
nav-deep-researchWeb deep research producing a cited report from fetched sources, adversarially reviewed and gate-checked, with conclusions ingested into the knowledge graph.
Nav Deep Research is an agent skill from qf-studio/navigator. Web deep research producing a cited report from fetched sources, adversarially reviewed and gate-checked, with conclusions ingested into the knowledge graph. Auto-invoke when user says "deep research on", "research the web for", "write a research report on", "what does the literature say about", or "deep dive into" a topic outside the codebase. For codebase questions use the navigator-research agent instead.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files (for example `functions/report_parse.py`, `functions/report_to_graph.py` and `functions/research_run.py`).
It sits in Research & Science, covering Deep research. The repository describes itself as: Finish What You Start — Context engineering for Claude Code. Sessions last 20+ exchanges instead of crashing at 7. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3bb9eac. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashWebSearchWebFetchTaskFrom allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From 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.
Nav Deep Research loads about 2k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 787 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Bash, WebSearch, WebFetch, TaskAutomated 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 qf-studio/navigator at commit 3bb9eac, republished under its MIT licence (© qf-studio). 787 words, ~1,967 tokens.
.claude/skills/nav-deep-research/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.One question in, one cited report.md out, conclusions in the knowledge graph. This
file is a thin router: each step's procedure lives in steps/N-name.md and is loaded
with Read at the moment the step starts, so a long run never depends on a procedure
that compaction has already evicted. All fetching, drafting, critique and patching
happens in subagents; the main session sees digests, findings and the final report.
python3 - <<'EOF'
import json, pathlib
cfg = json.loads(pathlib.Path(".agent/.nav-config.json").read_text()) if pathlib.Path(".agent/.nav-config.json").exists() else {}
d = cfg.get("deep_research") or {}
print(json.dumps({"enabled": bool(d.get("enabled", False)), "config": d}))
EOFIf enabled is false, stop and tell the user:
Deep research is off. Enable it with: "enable deep_research"
(or set deep_research.enabled: true in .agent/.nav-config.json). Ships off because a
run fetches dozens of third-party pages and spends several opus subagent calls.Resolve the functions directory once and reuse the absolute path in every command and every spawn prompt:
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$(cat "${NAVIGATOR_CONFIG_HOME:-${XDG_CONFIG_HOME:-$HOME/.config}/navigator}/plugin-root" 2>/dev/null)}"
[ -d "$PLUGIN_DIR/skills" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
NDR=""
for cand in "$PLUGIN_DIR/skills/nav-deep-research/functions" "$PWD/skills/nav-deep-research/functions"; do
[ -f "$cand/research_run.py" ] && NDR="$cand" && break
done
echo "NDR_FUNCTIONS=$NDR"Config knobs (defaults in hooks/nav_hook_lib/config.py): max_sources 30,
min_sources 8, fetchers 4, max_full_reads 10, critic_enabled true,
models.{fetcher,writer,critic,patcher}.
New run:
python3 "$NDR/research_run.py" init --query "<the user's prompt, verbatim>"Prints slug, dir, backend. If backend is hyperresearch, follow the handoff
section below instead of the pipeline.
Resume (the user says "resume research <slug>", or you wake up unsure where you are):
python3 "$NDR/research_run.py" resume --run <slug>Prints next_step. Read that step file and continue. python3 "$NDR/research_run.py" list shows runs.
| Step | Loads | Who works | Artifact |
|---|---|---|---|
| 1 Decompose | steps/1-decompose.md | main session | search-plan.md, atomic items in run.json |
| 2 Sweep | steps/2-sweep.md | main session WebSearch, N deep-research-fetcher | sources/NNN.md |
| 3 Draft | steps/3-draft.md | one deep-research-writer | report.md |
| 4 Critique | steps/4-critique.md | one deep-research-critic (+ one gap wave) | findings/critic.json |
| 5 Patch | steps/5-patch.md | one deep-research-patcher | patch-log.json |
| 6 Ship | steps/6-ship.md | main session | ship.json, graph memories, README line |
The report follows the readable layout in reference/REPORT-FORMAT.md (answer-first
Summary, At-a-glance table for comparisons, one section per atomic item, paragraph cap);
the writer reads that file at step 3 and the gate checks it at steps 3 and 6.
Steps 4 and 5 are skipped (research_run.py step --skip N --reason "critic disabled")
when critic_enabled is false. Before each step:
python3 "$NDR/research_run.py" step --run <slug> --start N; after it: --done N.
Step files are under the plugin's skills/ tree, so the read guard ignores them; source
notes under .agent/research/ are allowlisted by prefix.
The prompt you pass to any deep-research-* agent starts with, in this order:
research_query, verbatim, block-quoted from <run_dir>/query.md. Never paraphrased.run_slug, run_dir (absolute), functions_dir (absolute, the $NDR value).Skipping any of these is a process violation. Spawn parallel fetchers in ONE message.
Use subagent_type: navigator:deep-research-<role> and the model from
config.models.<role>.
report.md, the only changes are
the patcher's Edit hunks and your own hunks when fixing a gate failure. Never write
a second report.--min-sources, editing
ship_gate.py, or explaining the check away. Three fix rounds without a pass means
the run stays blocked and you say so.-p mode a
text-only response ends the process. While waiting, append thoughts to
<run_dir>/orchestrator-notes.md with a tool call instead.Lost track of the step? research_run.py resume reads the manifest first and falls
back to this artifact scan:
| Artifact present | Step done |
|---|---|
search-plan.md | 1 |
sources/*.md | 2 |
report.md | 3 |
findings/critic.json | 4 |
patch-log.json | 5 |
ship.json | 6 |
Then Read the next step file. Re-Read this file if you have lost the contract itself.
When run.json says backend: hyperresearch (the project has a .hyperresearch/
directory), the heavier harness is installed. Tell the user:
hyperresearch is installed here. Run it for the full pipeline:
/hyperresearch <the same query>
When it finishes, say "resume research <slug> at step 6" and I will ingest its
research/notes/final_report_*.md into the knowledge graph.At step 6 in that mode, copy the final report to <run_dir>/report.md, skip the
citation gate (its citation format differs), and run only report_to_graph.py. Mark
steps 1-5 as skipped with reason hyperresearch.
No SQLite vault, no academic APIs, no PDF extraction, no browser lane, no source
quality scoring. Sources are gitignored (.agent/research/*/sources/); source_store.py refetch --run <slug> rebuilds them from the recorded URLs and reports sha mismatches.
functions/research_run.py — manifest, resume, statusfunctions/source_store.py — fetch, write, list, digest, refetchfunctions/ship_gate.py — deterministic checks, exit 1 on failurefunctions/report_to_graph.py — Key findings → knowledge graphfunctions/untrusted.py — the <nav-untrusted-source> fencereference/REPORT-FORMAT.md — the readable report layout, gate rules, fix pathagents/deep-research-{fetcher,writer,critic,patcher}.md.agent/tasks/TASK-74-nav-deep-research.md© qf-studio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 17 other files in skills/nav-deep-research of qf-studio/navigator.
Open the folder on GitHubat commit 3bb9eac
Nav 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 |
|---|---|---|---|---|---|---|
| Nav Deep Research this skillqf-studio/navigator | 355 | — | ~2k | 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 | 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 |
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.
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.
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
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.
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.
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.
qf-studio/navigator
Load Navigator documentation navigator when starting development session, resuming work, or beginning new feature.
qf-studio/navigator
Create REST/GraphQL API endpoint with validation, error handling, and tests.
qf-studio/navigator
Generate backend tests (unit, integration, mocks) for existing code.
qf-studio/navigator
Create database migration with schema changes and rollback. An agent skill from qf-studio/navigator.
qf-studio/navigator
Create React/Vue component with TypeScript, tests, and styles.
qf-studio/navigator
Generate frontend component tests (React Testing Library, Vue Test Utils, snapshot) for existing components.
Categories
Web deep research producing a cited report from fetched sources, adversarially reviewed and gate-checked, with conclusions ingested into the knowledge graph. Nav Deep Research is an agent skill from qf-studio/navigator. Web deep research producing a cited report from fetched sources, adversarially reviewed and gate-checked, with conclusions ingested into the knowledge graph.
Nav Deep Research fits situations like: says deep research on; research the web for; write a research report on; what does the literature say about.
Run `npx skills add qf-studio/navigator --skill nav-deep-research -a claude-code`. Or copy the skill folder (skills/nav-deep-research in qf-studio/navigator) into .claude/skills/nav-deep-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add qf-studio/navigator --skill nav-deep-research -a codex`. Or copy the skill folder (skills/nav-deep-research in qf-studio/navigator) into .agents/skills/nav-deep-research 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 qf-studio/navigator --skill nav-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/nav-deep-research, .gemini/skills/nav-deep-research, .github/skills/nav-deep-research and .opencode/skills/nav-deep-research in your project.
Going by SKILL.md and its folder, Nav Deep Research needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, WebSearch, WebFetch, Task.
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 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.
Nav 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.
About 2k tokens (SKILL.md is roughly 7.9k 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 Nav 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.
qf-studio (a GitHub organization) maintains it in qf-studio/navigator, which has 355 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 8, 2026.
Source: qf-studio/navigator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.