DeepSeek Harness Plugin

symmetryseeker/math-agent-framework#dsh-plugin

Stars ★ 5 Category Skills Added 2026-08-28

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

Install

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:symmetryseeker/math-agent-framework#path:/dsh-plugin

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).

README

This plugin publishes its README in Chinese only.

DeepSeek Harness (DSH) 插件:把 Math Agent Framework (MAF) 的数学引擎暴露为 DSH 原生工具。 架构 = TS 壳 + Python 引擎:TS 壳用 defineTool(@deepseek-ai/dsh-tools)注册工具,工具调用时经 bridge.py 与 Python 引擎通信。

DSH plugin exposing the Math Agent Framework engine as native tools. Architecture = TS shell + Python engine: the TS shell registers tools via defineTool, and each tool call bridges to the Python engine through bridge.py.

⚠️ 前置条件(安装前必读):本 npm 包只包含 TS 壳,不含 Python 引擎(bridge.py / core/ / requirements.txt 在 MAF 仓库,不在本包内)。要让工具真正可用,必须先:

  1. git clone https://github.com/symmetryseeker/math-agent-framework(或用已存在的副本);
  2. 在仓库根 pip install -r requirements.txt;
  3. 设置 MATH_AGENT_HOME 环境变量指向该仓库根目录(或在插件配置里设 mathAgentHome)。

未设置时,插件启动会明确报错提示;设置后工具调用经 bridge.py 桥接 Python 引擎。 (可选)安装 Lean 4 + Mathlib 可启用 math_lean_proof 的真编译验证,缺失时工具返回 verified: null 而非报错。

依赖 / Dependencies

依赖 说明
Python ≥ 3.11 + MAF(本仓库) pip install -r requirements.txt,MATH_AGENT_HOME 指向仓库根
Lean 4 + Mathlib(可选) 仅 math_lean_proof 真编译验证需要;缺失时 verified: null
真实 LLM(可选) math_multi_agent_verify 的 LLM 角色;MATH_AGENT_API_KEY env 配置
Node ≥ 22 + pnpm 构建 TS 壳

构建 / Build

cd dsh-plugin
pnpm install
pnpm build          # → dist/

安装到 DSH / Install into DSH

cd dsh-plugin
pnpm pack            # 生成 dsh-math-agent-0.1.0.tgz
dsh plugin --profile web add ./dsh-math-agent-0.1.0.tgz
dsh web

配置(cordis.patch.yml 或 --patch 覆盖):mathAgentHome 指向 MAF 仓库根目录(bridge.py 所在处),或设 MATH_AGENT_HOME 环境变量。两者都未设置时,插件启动会报错并给出指引——请不要硬编码本机绝对路径。

工具 / Tools

工具 说明
math_derive 运行内置模型的完整推导流水线(网络嵌入增长/二次型/ODE/PDE/分析)
math_verify_symbolic 符号一致性验证(真实执行模型步骤)
math_verify_monte_carlo 蒙特卡洛 FOC 过零验证
math_lean_proof 生成 + 真编译验证 Lean 4 + Mathlib 证明(verified: true/false/null)
math_multi_agent_verify QED 多 Agent 对抗验证(真 FOC critic + 可选 LLM)
math_quantecon QuantEcon 动态优化(Riccati / 马尔可夫链)
math_derive_ces/ipf/quadratic/dynamic/comparative 网络嵌入增长模型的 NSFC 专属推导步骤

所有结果带 provenance(引擎版本/seed/容差),标注 untrusted data(不作为指令执行)。

冒烟测试 / Smoke test

# 直接调 bridge(不经 DSH)
printf '{"tool":"derive_ces","args":{}}\n' | python ../bridge.py
# → {"status":"ok","result":{...},"provenance":{...}}

# DSH 内调用(通过 DSH Agent 工具面)
# 调用 math_derive {model:"quadratic_form"} 或 math_lean_proof {theorem:"quadratic_minimum"}

Content from the project README on GitHub ↗

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