HarnessSmith AGENTS.md

A quick-start guide for HarnessSmith, a generator that creates complete Python repositories for AI-agent harnesses from a specification. An agent harness is the surrounding code that runs and coordinates an AI agent.

In plain words
What is it for?
Use it when changing the specification format, generator, command-line interface, wizard, templates, presets, or tests that create and run generated repositories.
Why use it?
It explains the generator and the templates it produces, which are separate layers with different effects when changed. This helps developers test both the generator and the repositories it creates.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/episodeyu/harnesssmith/agents-md
Clone the repo
git clone --depth 1 https://github.com/EpisodeYu/HarnessSmith

Made for: Codex, OpenCode.

Per session 1,981 This file is loaded in full into every session.
When invoked 1,981 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01981 $0.01981
Opus 5 $0.00991 $0.00991
Sonnet 5 $0.00396 $0.00396
Haiku 4.5 $0.00198 $0.00198

Measured 3d ago against content hash f1d332ae788f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

HarnessSmith 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 3d 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 · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — HarnessSmith 快速上手

面向在本仓库里干活的 Agent 的导航地图:30 秒认清这是什么、代码在哪、怎么跑、怎么算"做完"。 这里只讲"怎么上手";硬约束与红线看 CLAUDE.md,定位 / 范围 / 决策总表看 docs/02-development/00-overview.md。两者冲突时以那两份为准。

1. 这是什么(一句话)

HarnessSmith 是 agent harness 的代码生成器create-next-app for agent harnesses):吃一份 HarnessSpec(YAML / preset / 向导采集),渲染出一个完整、独立、无 agent 框架锁定的 Python 仓库。生成的产物与本生成器零运行期关系——生成即脱离。

2. 两层心智(最重要,先记住)

任何改动,先问自己改的是哪一层

位置 你在改什么
生成器本体 harnessmith/*.pyspec / generator / cli / scaffold / wizard …) spec schema、渲染引擎、CLI、向导、catalog、preset
产物模板 harnessmith/templates/**/*.j2 渲染后才是用户拿到的代码。改这里 = 改所有未来产物

推论:测试必须覆盖"生成产物"本身,不能只测生成器。黄金路径 = 生成 → uv syncpytest → mock LLM 跑通一次 function-calling(见 §5)。

3. 仓库地图

harnessmith/                  # ← 生成器本体(这个包发布到 PyPI)
  spec.py                     # HarnessSpec(Pydantic v2 + YAML,extra=forbid)
  generator.py                # 渲染模板 → 写仓库 + git init + uv lock + 冒烟自检
  cli.py                      # Typer 入口:new / wizard / doctor
  scaffold.py                 # 生成器与 CLI 向导共享的烤默认 / slug 派生(纯 stdlib)
  cli_wizard.py               # 终端交互向导(questionary)
  node_bootstrap.py           # Node 系 MCP server 的离线预热 / node 直跑
  debuglog.py                 # 生成器侧 debug 日志
  catalog/mcp_servers.yaml    # 精选静态 MCP catalog(向导/CLI 预填数据源)
  presets/coding-assistant/   # 内置 preset(spec.yaml + mcp_prefill.yaml)
  wizard/                     # Web 向导(FastAPI 单页,[wizard] extra,绝不进产物)
  templates/                  # ← 产物模板(.j2)。渲染出的才是用户的代码
    src/__project_slug__/harness/    # 产物核心:loop/llm/llm_anthropic/tools/context/
                                     #   session/interaction/hooks/usage/trace/prompts/
                                     #   paradigms/ + mcp/skills/memory/subagents(opt-in)
    src/__project_slug__/interfaces/ # cli.py(+ web.py / web_index.html opt-in)
    tests/                           # 产物自带测试(mock LLM)
docs/02-development/          # 设计与切片文档(00-overview = 唯一口径)
tests/                        # ← 生成器自身的测试(test_spec / test_generator / test_golden …)

Read the full file on GitHub · 101 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. 3d ago First seen · 101 lines · 1,981 tokens per session scan A f1d332ae788f

Subscribe to this mod's changes

HarnessSmith AGENTS.md is an instructions file published in the GitHub repository EpisodeYu/HarnessSmith (22 stars, last pushed 1mo ago), licensed MIT. It adds 1,981 tokens to every session, about $0.0099 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.