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 agentmods add instructions/bytedance/deer-flow/claude-mdgit 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/instructions/bytedance/deer-flow/claude-md)<a href="https://agentmods.dev/instructions/bytedance/deer-flow/claude-md"><img src="https://agentmods.dev/badge/instructions/bytedance/deer-flow/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00050 | $0.00050 |
| Opus 5 | $0.00025 | $0.00025 |
| Sonnet 5 | $0.00010 | $0.00010 |
| Haiku 4.5 | $0.00005 | $0.00005 |
Grade A, and why
deer-flow CLAUDE.md scanned grade A with 0 findings 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- semantic-deer-flow CLAUDE.md — 100% identical, 0 lines differ
What it actually says
CLAUDE.md
The repo's agent guidance lives in AGENTS.md so it is shared across coding agents (Claude Code, Codex, and others). Claude Code imports it below.
@AGENTS.md
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.
- 5d ago First seen · 6 lines · 50 tokens per session scan A 01ad6ee031d2
deer-flow CLAUDE.md is an instructions file published in the GitHub repository bytedance/deer-flow (81,317 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
nexent AGENTS.md
AGENTS.md instructions for ModelEngine-Group/nexent, covering agents, available skills, project overview, developer commands and backend (python 3.11).
agents-universe CLAUDE.md
Claude Code instructions for agents-universe/agents-universe, covering agents universe — enterprise ai agent framework, project overview, monorepo layout, development commands and api (from packages/api/).
OpenOutreach CLAUDE.md
Claude Code instructions for eracle/OpenOutreach, covering claude.md, rules, project overview, architecture and commands.
agent-graph AGENTS.md
AGENTS.md instructions for keta1930/agent-graph, covering commands, architecture, git conventions and test and format infrastructure.
agenticloop AGENTS.md
Instructions for bartoszarendt/agenticloop, covering agents.md, agentic loop is the subject here, not the process, purpose, source of truth and optional private project context.
earnings-edge copilot-instructions.md
Copilot instructions for suhaas/earnings-edge, covering earnings-edge: agent development guidelines, architecture & core concepts, the graph, agent roles and tools & skills boundary.