deepseek-harness-handbook: Instructions file for Codex

AGENTS.md

deepseek-harness-handbook AGENTS.md is an instructions file for Codex, OpenCode from sandbaseai/deepseek-harness-handbook. It costs 1,999 tokens per session, scanned A, original, Apache-2.0.

A set of writing and project instructions for maintaining a multilingual community handbook about DeepSeek Harness, a developer tool. It defines what the handbook covers, how content is checked, and how translations and safety details are handled.

In plain words
What is it for?
It is for writing and translating handbook pages, checking commands and version details, updating content records, and reviewing changes before submission.
Why use it?
It keeps contributors from presenting the handbook as official, making unsupported version claims, or publishing unfinished translations and unsafe examples.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is sandbaseai/deepseek-harness-handbook's own configuration. It tells Codex and OpenCode how to work on deepseek-harness-handbook 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-handbook configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sandbaseai/deepseek-harness-handbook. 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/sandbaseai/deepseek-harness-handbook/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/sandbaseai/deepseek-harness-handbook

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-handbook AGENTS.md

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

Your own site · 80×15
<a href="https://agentmods.dev/instructions/sandbaseai/deepseek-harness-handbook/agents-md"><img src="https://agentmods.dev/badge/instructions/sandbaseai/deepseek-harness-handbook/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,999 This file is loaded in full into every session.
When invoked 1,999 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 $0.01999 $0.01999
Opus 5.5 $0.00800 $0.00800
Sonnet 5.5 $0.00400 $0.00400
Haiku 4.5 $0.00200 $0.00200

Measured 2mo ago against content hash e9182e478693, 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-handbook 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 2mo 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.

AGENTS.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contributor instructions

This repository is a multilingual, independent community handbook for DeepSeek Harness.

Product boundary

  • DeepSeek Harness is the subject. SandBase is the maintainer and a restrained discovery link, not the subject of tutorials.
  • Prefer official DeepSeek Harness documentation and source. Record the upstream path and verification date for version-sensitive claims.
  • Never imply that this repository is an official DeepSeek AI project.
  • Do not copy long passages from upstream documentation. Explain, test, and attribute.

Content workflow

  1. Update the English canonical page first.
  2. Increment its content_revision when meaning changes.
  3. Update content-manifest.json.
  4. Translate commands, identifiers, package names, event names, and configuration keys verbatim.
  5. Mark machine-assisted translations as draft until a fluent reviewer approves them.
  6. Run npm run check before submitting a change.

Safety

  • Use placeholders for credentials and personal paths.
  • Keep permission, approval, and sandbox claims separate.
  • Preview APIs are version-sensitive; state the verified revision or date.
  • Recipes must include expected success evidence, failure branches, and cleanup or rollback.

Project handoff and promotion playbook

This repository is an English-first, multilingual community handbook about DeepSeek Harness. Its purpose is to explain the official project from an Agent developer's perspective and create qualified discovery for SandBase; it is not a replacement implementation and must not be presented as an official DeepSeek AI repository.

Editorial focus

  • Turn official Docs, Releases, Issues, and Discussions into practical Agent-runtime guidance.
  • Cover provider/model boundaries, MCP and webMCP, prompt variables, plugins, manifests, Sessions, token accounting, retries, reverse proxies, multi-tenant hosting, mobile/PWA behavior, and launch diagnostics.
  • Curate useful ecosystem projects from 0xsline/awesome-deepseek-harness, but label community and catalog-only items clearly; do not imply endorsement.
  • Every substantial update should include reproducible commands or configuration, expected evidence, failure branches, a source link, and a verification date or upstream revision.
  • Keep English canonical pages authoritative, then synchronize localized pages and machine-readable discovery files (content-manifest.json, site/llms.txt, Atom feed, and CHANGELOG.md).

Read the full file on GitHub · 99 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. 2mo ago First seen · 99 lines · 1,999 tokens per session scan A e9182e478693

Subscribe to this mod's changes

deepseek-harness-handbook AGENTS.md is an instructions file published in the GitHub repository sandbaseai/deepseek-harness-handbook (245 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 1,999 tokens to every session, about $0.0080 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

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deepseek-harness-handbook AGENTS.md next to 6 instructions from other repositories
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vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
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vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k2d agoMITA4,313Codex, OpenCode