Agent skill

Behive Research

Deep research missions with structured claim extraction, quality scoring, and knowledge graphs.

Install Behive Research

skills CLI

$ npx skills add qa10devteam/behive --skill behive-research -a claude-code

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

GitHub CLI

$ gh skill install qa10devteam/behive behive-research --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/qa10devteam/behive.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/openclaw .claude/skills/behive-research && 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/

Paste into Claude Code

Install the "behive-research" agent skill from https://github.com/qa10devteam/behive/tree/main/integrations/openclaw into .claude/skills/behive-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behive-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

$skill-installer install https://github.com/qa10devteam/behive/tree/main/integrations/openclaw

Type 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.

skills CLI

$ npx skills add qa10devteam/behive --skill behive-research -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install qa10devteam/behive behive-research --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/qa10devteam/behive.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/openclaw .agents/skills/behive-research && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "behive-research" agent skill from https://github.com/qa10devteam/behive/tree/main/integrations/openclaw into .agents/skills/behive-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behive-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.

skills CLI

$ npx skills add qa10devteam/behive --skill behive-research -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install qa10devteam/behive behive-research --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/qa10devteam/behive.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/openclaw .cursor/skills/behive-research && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "behive-research" agent skill from https://github.com/qa10devteam/behive/tree/main/integrations/openclaw into .cursor/skills/behive-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behive-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

$ gemini skills install https://github.com/qa10devteam/behive.git --path integrations/openclaw

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add qa10devteam/behive --skill behive-research -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install qa10devteam/behive behive-research --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/qa10devteam/behive.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/openclaw .gemini/skills/behive-research && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "behive-research" agent skill from https://github.com/qa10devteam/behive/tree/main/integrations/openclaw into .gemini/skills/behive-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behive-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.

GitHub CLI

$ gh skill install qa10devteam/behive behive-research

Installs 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).

skills CLI

$ npx skills add qa10devteam/behive --skill behive-research -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/qa10devteam/behive.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/openclaw .github/skills/behive-research && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "behive-research" agent skill from https://github.com/qa10devteam/behive/tree/main/integrations/openclaw into .github/skills/behive-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behive-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.

skills CLI

$ npx skills add qa10devteam/behive --skill behive-research -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install qa10devteam/behive behive-research --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/qa10devteam/behive.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/openclaw .opencode/skills/behive-research && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "behive-research" agent skill from https://github.com/qa10devteam/behive/tree/main/integrations/openclaw into .opencode/skills/behive-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "behive-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: behive-research
GitHub stars: 146
Token cost: ~838 tokens
SKILL.md length: 317 words
Files: 1
Skills in repo: 2
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Deep research missions with structured claim extraction, quality scoring, and knowledge graphs.

Works in 6 steps: Start Research Mission → Check Progress → Get Report → …
Tasks that involve Deep research
SKILL.md covers Setup, Operations, Output Format and Quality Interpretation, plus 2 more sections
Calls curl, pip and docker

What it does

Behive Research is an agent skill from qa10devteam/behive. Deep research missions with structured claim extraction, quality scoring, and knowledge graphs. Connects to BeHive API to research any topic at scale.

Its SKILL.md is about 840 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 and Knowledge graphs. The repository describes itself as: Open-source deep research engine that builds structured knowledge graphs. MCP-native. avg 0.82+ quality. The licence is MIT.

When your agent uses it

Tasks that involve Deep research
Tasks that involve Knowledge graphs

Example prompts

“/behive-research”

Requirements

Python 3
Docker

Workflow steps

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

Start Research Mission
Check Progress
Get Report
Search Knowledge
Knowledge Graph
List Past Missions

What it can do on your machine

Read from SKILL.md and the folder at commit 91e9a64. 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
Shell commands in SKILL.md call:
- curl
- pip
- docker
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, pip and docker, which can reach the network depending on how they are called.
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

Behive Research loads about 838 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 317 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~42
When it runs · the whole SKILL.md, loaded when a task matches: ~838

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.

NoteMentions a .env fileSKILL.md:18

cp .env.example .env  # add your LLM API key

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 qa10devteam/behive at commit 91e9a64, republished under its MIT licence (© qa10devteam). 317 words, ~838 tokens.

Download SKILL.mdSave it as .claude/skills/behive-research/SKILL.md (or your agent's skills folder).

name: behive-research
description: Deep research missions with structured claim extraction, quality scoring, and knowledge graphs. Connects to BeHive API to research any topic at scale.
version: 1.0.0
author: qa10devteam

BeHive Deep Research

Run multi-source research missions that extract structured, scored claims from any topic. Returns verified intelligence — not text summaries.

Setup

BeHive must be running. Install and start:

bash

pip install behive
cp .env.example .env  # add your LLM API key
docker compose up -d
# OR: behive api start

Verify: curl http://localhost:8091/health

Operations

1. Start Research Mission

When the user asks to research a topic, deeply investigate something, or gather intelligence:

bash

curl -s -X POST http://localhost:8091/research \
  -H "Content-Type: application/json" \
  -d '{"topic": "<USER_TOPIC>", "scale": 30, "depth": 3}'

Scale guide:

15 = quick scout (2-3 min, ~50 claims)
30 = standard (5-10 min, ~200-500 claims)
100 = deep (15-30 min, ~800+ claims)
300 = exhaustive (45-90 min, ~2000+ claims)

Save the returned mission_id or job_id.

2. Check Progress

Poll every 30 seconds:

bash

curl -s http://localhost:8091/research/<MISSION_ID>

Phases: scout → harvest → process → synth → done

Or stream real-time via SSE:

bash

curl -N http://localhost:8091/research/<MISSION_ID>/events

3. Get Report

When status is done:

bash

curl -s http://localhost:8091/research/<MISSION_ID>/report

Returns the full synthesized report with citations and quality metrics.

4. Search Knowledge

Search across all past missions:

bash

curl -s "http://localhost:8091/search?q=<QUERY>&limit=20"

5. Knowledge Graph

Query entities and relationships:

bash

curl -s "http://localhost:8091/graph/entities?limit=50"
curl -s "http://localhost:8091/graph/entity/<NAME>/relationships"

6. List Past Missions

bash

curl -s http://localhost:8091/missions

Output Format

Claims are structured JSON with:

claim — the extracted fact
quality_score — 0.0 to 1.0 (only ≥0.55 enter the database)
source_url — origin URL
confidence — model confidence
claim_type — fact, statistic, quote, prediction, etc.
evidence — supporting context

Quality Interpretation

Score	Meaning
0.85+	Excellent — specific, multi-dimensional, verified
0.75–0.84	Good — solid with evidence
0.65–0.74	Acceptable — valid but may lack specifics
< 0.65	Marginal or rejected

Guardrails

Do NOT use web_extract or browser tools for localhost URLs — use exec with curl
Missions are async — always poll until done before fetching report
Scale 30 is the default — only increase if user explicitly asks for deeper research
If health check fails, inform user that BeHive is not running
Report mission duration and claim count to user after completion

Example Workflow

User: "Research the AI chip market — NVIDIA vs AMD vs custom silicon"

Start: curl -X POST .../research -d '{"topic": "AI chip market NVIDIA AMD custom silicon 2025-2026", "scale": 30}'
Poll until done (typically 8-12 min at scale 30)
Fetch report, summarize key findings
Offer to search specific claims or explore the knowledge graph

Files

Just SKILL.md in integrations/openclaw of qa10devteam/behive.

Open the folder on GitHubat commit 91e9a64

Compare with similar skills

Behive 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.

Behive Research compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Behive Research this skillqa10devteam/behive	146	—	~838	Automated safety check: Notes	MIT	3 days ago
Obsidian Literature WorkflowGalaxy-Dawn/claude-scholar	5.7k	—	~431	Automated safety check: Pass	MIT	15 days ago
Live Researchbrightdata/skills	264	—	~1.8k	Automated safety check: Pass	MIT	yesterday
Eunomia Research Reporteunomia-bpf/eunomia.dev	236	—	~3k	Automated safety check: Pass	MIT	today
Brain-Augmented Web Researchgarrytan/gbrain	31k	—	~2k	Automated safety check: Notes	MIT	today
Ontology ExplorerFreedomIntelligence/OpenClaw-Medical-Skills	3.1k	1 repos	~2k	Automated safety check: Notes	None	2 mo ago

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Questions about Behive Research

What does Behive Research do?

Deep research missions with structured claim extraction, quality scoring, and knowledge graphs. Behive Research is an agent skill from qa10devteam/behive. Deep research missions with structured claim extraction, quality scoring, and knowledge graphs.

When should I use Behive Research?

Behive Research fits situations like: tasks that involve Deep research; tasks that involve Knowledge graphs.

How do I install Behive Research in Claude Code?

Run `npx skills add qa10devteam/behive --skill behive-research -a claude-code`. Or copy the skill folder (integrations/openclaw in qa10devteam/behive) into .claude/skills/behive-research in your project. Claude Code loads it when a task matches its description.

How do I install Behive Research in Codex?

Run `npx skills add qa10devteam/behive --skill behive-research -a codex`. Or copy the skill folder (integrations/openclaw in qa10devteam/behive) into .agents/skills/behive-research in your project. Codex loads it when a task matches its description.

Can I use Behive 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 qa10devteam/behive --skill behive-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/behive-research, .gemini/skills/behive-research, .github/skills/behive-research and .opencode/skills/behive-research in your project.

What does Behive Research need to run?

Going by SKILL.md and its folder, Behive Research needs the command-line tools its instructions call (curl, pip and docker). Our summary lists: Python 3; Docker.

Does Behive Research access the network?

SKILL.md contains no URLs. Its commands use curl, pip and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Behive Research safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Behive Research use?

Behive 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 Behive Research use?

About 838 tokens (SKILL.md is roughly 3.4k 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 Behive Research?

Skills that share tags, products or a category with Behive Research: Obsidian Literature Workflow (Galaxy-Dawn/claude-scholar, 5.7k stars), Live Research (brightdata/skills, 264 stars), Eunomia Research Report (eunomia-bpf/eunomia.dev, 236 stars) and Brain-Augmented Web Research (garrytan/gbrain, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Behive Research?

qa10devteam (a GitHub user) maintains it in qa10devteam/behive, which has 146 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 5, 2026.

Source: qa10devteam/behive on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Behive Research

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

BeHive Deep Research

Setup

Operations

1. Start Research Mission

2. Check Progress

3. Get Report

4. Search Knowledge

5. Knowledge Graph

6. List Past Missions

Output Format

Quality Interpretation

Guardrails

Example Workflow

Files

Compare with similar skills

Similar skills

Obsidian Literature Workflow

Live Research

Eunomia Research Report

Brain-Augmented Web Research

Ontology Explorer

Scholar RAG

More from qa10devteam/behive

Behive Research

Related

Questions about Behive Research