Borrowing it
Nothing to install: this file belongs to songoao25/dsh-virtual-product-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/songoao25/dsh-virtual-product-team/main/AGENTS.mdgit clone --depth 1 https://github.com/songoao25/dsh-virtual-product-teamWrote 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/songoao25/dsh-virtual-product-team/agents-md)<a href="https://agentmods.dev/instructions/songoao25/dsh-virtual-product-team/agents-md"><img src="https://agentmods.dev/badge/instructions/songoao25/dsh-virtual-product-team/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.
<a href="https://agentmods.dev/instructions/songoao25/dsh-virtual-product-team/agents-md"><img src="https://agentmods.dev/badge/instructions/songoao25/dsh-virtual-product-team/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00603 | $0.00603 |
| Opus 5 | $0.00302 | $0.00302 |
| Sonnet 5 | $0.00121 | $0.00121 |
| Haiku 4.5 | $0.00060 | $0.00060 |
Grade A, and why
dsh-virtual-product-team 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 8d 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.
What it actually says
AGENTS.md — 给 AI 编码助手/Agent 的仓库说明
本文件帮助 AI 编码助手（如 DeepSeek Harness、Cursor、Claude Code 等）快速理解本仓库。
这是什么
「产品团队模式」——DeepSeek Harness（DSH）的一个对话模式（agent preset）。用户说"我有个想法"，AI 就以虚拟产品团队（产品经理→工程师→QA→发布员）身份带用户走完从想法到发布的完整流程。用户是非技术背景，只说话和拍板。
仓库结构
preset/— 预设本体preset.yml— 预设元数据（name/description/order）agent.cordis.yml— 预设组合（persona 人设 + 工具 + 技能挂载 + v1.1.0 自我改造工具）skills/<编号>-<名>/SKILL.md— 8 个阶段技能（idea-validation/product-prd/design/dev-qa/release-deploy/promotion/operations/iteration，12 环节全覆盖）skills/cordis-plugin-development、skills/editing-cordis-compositions— 官方工艺技能（v1.1.0，开发 DSH 模式/插件时用，来自官方创造模式同款）
install.sh/uninstall.sh— 一键安装/卸载（拷 preset 到~/.dsh/.agent-presets/）.product-team/— 运行时私有工作资料（已忽略，不随仓库分发）.github/— CI、CodeQL、Issue/PR 模板、Dependabot
关键约定
- 修改
preset/后需同步安装副本：~/.dsh/.agent-presets/dsh-virtual-product-team/ - 对外文档（README/CHANGELOG）只写用户视角功能，严禁开发过程流水账与内部代号
- 提交遵循 Conventional Commits（feat/fix/docs/test/chore）
- 分发铁律：零密钥、零个人路径、作者署名 songoao25、只用语义化版本号；
.product-team/内的调研、方案、审计、交接、宣传和运营资料不得提交 - 05-release-deploy 技能负责 GitHub 发布：先探测本机 Agent → 出选择题问用户用哪个 → 按所选执行（可直调如 KUN exec 则直调）
常用命令
- 安装：
./install.sh；卸载：./uninstall.sh - 验证 preset 文件：
.github/workflows/ci.yml中的检查项
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.
- 8d ago First seen · 32 lines · 603 tokens per session scan A 04ef80b5944b
dsh-virtual-product-team AGENTS.md is an instructions file published in the GitHub repository songoao25/dsh-virtual-product-team (6 stars, last pushed 4d ago), licensed MIT. It adds 603 tokens to every session, about $0.0030 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 2026-08-31.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.