Borrowing it
Nothing to install: this file belongs to Tirefly/agent-harness-template. 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/Tirefly/agent-harness-template/main/AGENTS.mdgit clone --depth 1 https://github.com/Tirefly/agent-harness-templateWrote 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/tirefly/agent-harness-template/agents-md)<a href="https://agentmods.dev/instructions/tirefly/agent-harness-template/agents-md"><img src="https://agentmods.dev/badge/instructions/tirefly/agent-harness-template/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/tirefly/agent-harness-template/agents-md"><img src="https://agentmods.dev/badge/instructions/tirefly/agent-harness-template/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 | $0.02871 | $0.02871 |
| Opus 5.5 | $0.01148 | $0.01148 |
| Sonnet 5.5 | $0.00574 | $0.00574 |
| Haiku 4.5 | $0.00287 | $0.00287 |
Grade A, and why
agent-harness-template 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
用户级 Agent 规范
本文件是跨工作区行为的唯一规范来源(canonical user-level Agent instruction source)。工具特定指令文件与本文件冲突时,先读本文件再作判断。
这是可公开使用的模板:把
<尖括号>占位替换为你自己的内容,其余结构可直接沿用。
语言偏好
- 与用户使用中文交流。(按你的语言偏好修改本条目)
全局指令归属
~/.agents/AGENTS.md(即本文件)是唯一规范的用户级 Agent 指令来源。~/.agents/skills下的用户级 AgentSkill 资源是唯一规范的用户级技能资源。- 工具特定文件(如
~/.claude/CLAUDE.md、~/.codex/AGENTS.md、~/.copilot/instructions/*.md)仅为兼容性占位或备份。 - 各工具的用户级技能目录(如
~/.claude/skills、~/.config/opencode/skills、~/.codex/skills)不再维护用户技能副本;需要工具原生加载技能时,配置技能根指向~/.agents/skills(如 OpenCode 的skills.paths)或建立 junction 链接,不得复制技能内容。 - 协作规则需要变更时,先更新本文件。若工具特定备份仍需等价规则,仅同步简短指针或兼容性说明。
- 除非用户明确决定停止使用工具特定冗余,否则不要删除备份指令文件。
- 遇事不决查唯一规范:不确定适用哪条用户级规则时,读本文件并遵循之。
跨电脑部署约定
本文件与 ~/.agents(技能、记忆、原子)设计为跨电脑使用:
- 各机用户主目录下都存在
~/.agents,与你的主仓库保持同步(推荐 git clone/pull;网盘或手动拷贝亦可)。 - 本文件内路径一律使用
~相对写法(~/.agents/...),不写C:\Users\...、E:\...等本机绝对路径;~在各机均指该机用户主目录。工具特定备份同理使用~/.claude/...、~/.codex/...、~/.copilot/...。 - 依赖:各机需安装 git;运行记忆检索脚本需 Python(探测顺序:
python→uv run python→ 本机已知绝对路径)。 - 机器特定差异(引擎安装位置、Python 安装位置等)不得写入本文件;如需记录,写入对应技能文件的本机裁决注释,跨机部署时替换为本机实际值。
用户级 Agent 资源
- Agent 必须参考并遵循
~/.agents下的用户级 Agent 规范与 AgentSkill 资源。 - 已安装的用户级技能位于
~/.agents/skills。 - 当工具本地缓存的技能副本与用户级技能同时存在时,优先使用
~/.agents/skills下的用户级技能。
技能优先与流程纪律
- 任何任务开始时,agent 必须先检查是否有相关技能适用,再提出澄清问题、探索文件或采取行动;若某技能可能适用,先调用它再继续。
- 流程类技能(如 brainstorming、systematic-debugging)优先于实现类技能;用户显式指令、
AGENTS.md、CLAUDE.md、GEMINI.md及直接请求优先于技能指令。 - 设计、讨论或研究/预研阶段,先使用 Superpowers 工作流;进入计划/设计模式前,在可用时使用 brainstorming/设计工作流。
- TDD 默认禁止:不使用
test-driven-development技能(红绿重构/测试先行)。除非用户明确要求该特定任务使用 TDD,否则遵循本文件并跳过该技能。若某技能推荐 TDD 而本文件禁止,遵循本文件并跳过该技能。自动化测试仅在用户明确要求、或既有项目已要求对进行中变更做特定测试更新时添加。 - 验证偏好:优先编译/构建验证、定向人工检查与项目既有验证方法,而不是为满足某个技能而发明自动化测试套件。
协作纪律
- 默认批判性审视每条用户消息;若用户的推理、假设、范围、顺序或取舍有问题,直接、清晰、严肃地指出,而不是默默迁就。
- 明确说明重要假设、风险、边界情况与执行约束。
- 用户与 agent 明确确认的设计决策、执行约束、术语选择或实现方向,执行期间视为有约束力;有新证据表明其不一致、不安全或不可行时,先停下说明冲突再偏离。
- 若输入极不合理,直接给出直白尖锐的反馈,尽快重置讨论。
项目初始化排除项
- 初始化或索引项目时,自动跳过以下文件夹及其内容:
.idea、.vs、.vscode、.gitBinaries、Build、Intermediate、Saved、DerivedDataCache(含插件子目录下的Binaries/Intermediate)
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.
- 2mo ago First seen · 109 lines · 2,871 tokens per session scan A ef1605258d84
agent-harness-template AGENTS.md is an instructions file published in the GitHub repository Tirefly/agent-harness-template (2 stars, last pushed 2mo ago), licensed MIT. It adds 2,871 tokens to every session, about $0.0115 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 2026-08-31.
agent-harness-template AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-harness-template AGENTS.mdTirefly/agent-harness-template | Instructions file | 2 | 2mo ago | MIT | A | 2,871 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |