deepseek-harness: Instructions file for Codex

AGENTS.md

deepseek-harness AGENTS.md is an instructions file for Codex, OpenCode from deepseek-ai/deepseek-harness. It costs 4,159 tokens per session, scanned A, original, MIT.

A set of repository instructions for DeepSeek Harness, an agent framework built from plugins and related services. It describes the project layout, development rules, and the current pre-release approach.

In plain words
What is it for?
Use it as the starting point for work in the DeepSeek Harness repository. It helps locate packages, follow application-launch rules, handle stored data formats, and read the more specific instructions for documentation or packages.
Why use it?
It gives coding agents and developers the rules they must follow before changing the repository. It also explains which files and commands define the project’s structure and supported ways to run it.

Instructions file for CodexOpenCode ✓ vendor

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions subagents; mentions AGENTS.md.

This is deepseek-ai/deepseek-harness's own configuration. It tells Codex and OpenCode how to work on deepseek-harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything deepseek-harness configures →

About the project

DeepSeek Harness is an open-source framework for building and running AI agents, organized so that its functionality is provided through plugins. Developers use it to launch agent workflows through a local web interface or from source, while the catalogue add-ons extend the harness as plugins.

deepseek-ai/deepseek-harness · 250,433 stars · on GitHub · deepseek.com

Reuse

Borrowing it

Nothing to install: this file belongs to deepseek-ai/deepseek-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/deepseek-ai/deepseek-harness/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/deepseek-ai/deepseek-harness

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for deepseek-harness AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/deepseek-ai/deepseek-harness/agents-md/github.svg)](https://agentmods.dev/instructions/deepseek-ai/deepseek-harness/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/deepseek-ai/deepseek-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/deepseek-ai/deepseek-harness/agents-md/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.

agentmods 80×15 button for deepseek-harness AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/deepseek-ai/deepseek-harness/agents-md"><img src="https://agentmods.dev/badge/instructions/deepseek-ai/deepseek-harness/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4,159 This file is loaded in full into every session.
When invoked 4,159 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.04159 $0.04159
Opus 5.5 $0.01664 $0.01664
Sonnet 5.5 $0.00832 $0.00832
Haiku 4.5 $0.00416 $0.00416

Measured yesterday against content hash 1eea39325447, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepseek-harness AGENTS.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 yesterday.

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.

Origin

Copies of this mod

7 near-identical copies found in the catalogue:

AGENTS.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

DeepSeek Harness is an all-plugin Cordis agent harness. Read docs/architecture.md before changing packages/; follow docs/AGENTS.md for documentation.

Pre-stable APIs and released Session data

Public APIs are pre-stable; update every consumer. Follow version/status and type acknowledgements. Adjacent migration may add a version-named successor but never move, overwrite, or delete committed generations; predecessors imply neither fallback nor downgrade support. SQLite uses monotonic SCHEMA_VERSION.

Acknowledge declared persistence-type changes.

Record each externally perceptible breaking change immediately in an upgrade guide.

Application launch. Only dsh profiles launch supported Node apps; package bins, demos, and public SDK argv escapes are forbidden (rule).

Repository layout

vendor/      Vendored Cordis (vendor/README.md)
packages/    @deepseek-ai/dsh-<pkg> workspaces at packages/<group>/<pkg>/
  core/                 agent/session API
  api/                  remote BFF
  typert/               type graphs
  llm/                  model providers
  shell/                command execution
  subprocess/           child-process management
  ssh/                  SSH execution providers
  terminal/             persistent terminals
  ptc-runtime/          PTC execution
  sandbox/              process confinement
  deliverables/         turn deliverables
  fs/                   filesystem access
  lsp/                  language servers
  skill/                skill loading
  web/                  search/fetch tools
  computer-use/         computer interaction
  browser-use/          browser interaction
  compaction/           context compaction
  context/              request context
  subagent/             delegated agents
  jobs/                 background jobs
  bundle/               profile bundles
  workflow/             workflow execution
  todo/                 todo_write tool
  plan/                 logged planning
  goal/                 session goals
  schedule/             scheduled follow-ups
  preset/               agent composition
  guard/                loop/tool guards
  extensions/           runtime self-modification
  session/              durable sessions
  session-query/        browsing/search/export
  attachment/           binary attachments
  spill/                output spill
  storage/              non-session storage
  workspace/            workspace entities
  feedback/             human feedback
  identity/             anonymous identity
  settings/             user settings
  credentials/          credentials/authorization
  acp/                  automation-only ACP
  interaction/          human interaction
  boot/                 application boot
  sdk/                  JSON-RPC SDK
  host/                 GUI host
  client/               GUI client
  mcp/                  external tools
  experimental/         evaluated capabilities without a product-support commitment
  test-support/         test infrastructure
  util/                 zero-dependency utilities
python/      Python SDK/runtime (python/README.md)
native/      @deepseek-ai/node-addon-system source (native/README.md)
benchmarks/  performance gates
.agents/     Agent workflows/notes
docs/        Documentation (docs/AGENTS.md)
scripts/     gates and generators
website/     VitePress documentation projection

Read the full file on GitHub · 186 lines

Changes

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.

  1. yesterday Changed · +4 lines · +185 tokens per session 1eea39325447
  2. 6d ago Changed · -1 lines · +71 tokens per session 4c5ad6e8f6c9
  3. 13d ago Changed · -2 lines · -106 tokens per session 8606e33eb5ba
  4. 16d ago Changed · +2 lines · +29 tokens per session 8436bf5c9449
  5. 23d ago Changed · +3 lines · +159 tokens per session e8fbc2b46a80
  6. 28d ago Changed · +4 lines · +89 tokens per session e232924a880b
  7. 1mo ago Changed · +20 lines · -15 tokens per session aff5a98c2763
  8. 1mo ago Changed · +12 tokens per session 2592e81a9caa
  9. 1mo ago Changed · -2 tokens per session bbe0098b2801
  10. 1mo ago First seen · 156 lines · 3,737 tokens per session scan A 7a4a8ae455e8

Subscribe to this mod's changes

deepseek-harness AGENTS.md is an instructions file published in the GitHub repository deepseek-ai/deepseek-harness (250,433 stars, last pushed today), licensed MIT. It adds 4,159 tokens to every session, about $0.0166 per session on Opus 5.5. 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.

Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,649 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,257 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

generative-ai-for-beginners AGENTS.md

AGENTS.md instructions for microsoft/generative-ai-for-beginners, covering agents.md, project overview, setup commands, initial repository setup and clone the repository.

microsoft/generative-ai-for-beginners · 2,850 tokens