DeerFlow is an open-source super-agent harness that coordinates sub-agents, memory, tools, sandboxes, and extensible skills to handle research, coding, and content-creation tasks that may run for minutes or hours. It is intended for long-running, multi-step work performed by AI agents. The catalogue entries are skills, agents, and instructions that support its workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bytedance/deer-flow --skill claude-to-deerflowgit clone --depth 1 https://github.com/bytedance/deer-flowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bytedance/deer-flow/claude-to-deerflow)<a href="https://agentmods.dev/skills/bytedance/deer-flow/claude-to-deerflow"><img src="https://agentmods.dev/badge/skills/bytedance/deer-flow/claude-to-deerflow/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bytedance/deer-flow/claude-to-deerflow"><img src="https://agentmods.dev/badge/skills/bytedance/deer-flow/claude-to-deerflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 30 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00111 | $0.01740 |
| Opus 5 | $0.00056 | $0.00870 |
| Sonnet 5 | $0.00022 | $0.00348 |
| Haiku 4.5 | $0.00011 | $0.00174 |
Grade A, and why
claude-to-deerflow scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
When making curl calls, always resolve the URL like this: Copies of this mod
5 near-identical copies found in the catalogue:
- claude-to-deerflow — 100% identical, 0 lines differ
- claude-to-deerflow — 100% identical, 0 lines differ
- claude-to-deerflow — 92% identical, 4 lines differ
- claude-to-deerflow — 92% identical, 4 lines differ
- claude-to-deerflow — 92% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeerFlow Skill
Communicate with a running DeerFlow instance via its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code execution, web browsing, and more.
Architecture
DeerFlow exposes two API surfaces behind an Nginx reverse proxy:
| Service | Direct Port | Via Proxy | Purpose |
|---|---|---|---|
| Gateway API | 8001 | $DEERFLOW_GATEWAY_URL |
REST endpoints and embedded agent runtime |
| LangGraph-compatible API | 8001 | $DEERFLOW_LANGGRAPH_URL |
Agent threads, runs, streaming |
Environment Variables
All URLs are configurable via environment variables. Read these env vars before making any request.
| Variable | Default | Description |
|---|---|---|
DEERFLOW_URL |
http://localhost:2026 |
Unified proxy base URL |
DEERFLOW_GATEWAY_URL |
${DEERFLOW_URL} |
Gateway API base (models, skills, memory, uploads) |
DEERFLOW_LANGGRAPH_URL |
${DEERFLOW_URL}/api/langgraph |
LangGraph API base (threads, runs) |
When making curl calls, always resolve the URL like this:
# Resolve base URLs from env (do this FIRST before any API call)
DEERFLOW_URL="${DEERFLOW_URL:-http://localhost:2026}"
DEERFLOW_GATEWAY_URL="${DEERFLOW_GATEWAY_URL:-$DEERFLOW_URL}"
DEERFLOW_LANGGRAPH_URL="${DEERFLOW_LANGGRAPH_URL:-$DEERFLOW_URL/api/langgraph}"
Available Operations
1. Health Check
Verify DeerFlow is running:
curl -s "$DEERFLOW_GATEWAY_URL/health"
2. Send a Message (Streaming)
This is the primary operation. It creates a thread and streams the agent's response.
Step 1: Create a thread
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 218 lines · 111 tokens per session scan A b05a6fa8c64b
claude-to-deerflow is a skill published in the GitHub repository bytedance/deer-flow (82,196 stars, last pushed today), licensed MIT. It adds 111 tokens to every session and 1,740 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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