Borrowing it
Nothing to install: this file belongs to iPythoning/b2b-sdr-hermes-skill. 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/iPythoning/b2b-sdr-hermes-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/iPythoning/b2b-sdr-hermes-skillWrote 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/ipythoning/b2b-sdr-hermes-skill/agents-md)<a href="https://agentmods.dev/instructions/ipythoning/b2b-sdr-hermes-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/ipythoning/b2b-sdr-hermes-skill/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/ipythoning/b2b-sdr-hermes-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/ipythoning/b2b-sdr-hermes-skill/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 | $0.00880 | $0.00880 |
| Opus 5.5 | $0.00352 | $0.00352 |
| Sonnet 5.5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
b2b-sdr-hermes-skill 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.
What it actually says
AGENTS.md — b2b-sdr-hermes-skill
本文件是本仓库的唯一权威协作守则，对所有厂商的 coding agent（Claude Code / Codex / Cursor / Gemini / Windsurf / Kimi 等）一视同仁。 CLAUDE.md、GEMINI.md、.cursorrules 等厂商文件只是指向本文件的指针；冲突时以本文件为准。
开始工作前：接续三步（必做）
- 按固定顺序阅读：
README* → AGENTS.md → docs/HANDOFF.md → docs/adr/ → git log -10 --oneline - 先跑一次验证命令，确认基线是绿的。基线红 → 先修基线，绝不在红基线上叠改动。
- 用自己的话复述当前任务与验收标准，确认与 HANDOFF 一致后再动手。
结束工作前：收尾三件套（必做）
- 跑完整验证命令，确认全绿。
- 更新
docs/HANDOFF.md：当前目标 / 已完成 / 进行中（含文件与位置）/ 已知坑 / 下一步 / 验证方式。 - 提交 git：不留未提交的半成品；commit message 用 Conventional Commits 并写清"为什么"。
验证命令（共同基线）
- ⚠️ 本仓库尚无自动化验证命令。 首个接手的 agent 必须补上，或在此显式写明手工冒烟步骤 —— 不要留占位符。
如命令变更，必须同步更新本节——这是所有 agent 的共同基线。
决策记录（ADR）
- 任何"为什么这么改"的架构 / 方案决策，写入
docs/adr/，格式见docs/adr/0000-template.md。 - 对话里想通但没落盘的决策，等于没发生过。
Git 纪律
- 小步提交，一个 commit 只做一件事；一个任务一个分支。
- PR / 合并描述里贴验收标准；验收标准尽量写成可执行测试。
反模式（禁止）
- ❌ 把关键上下文写进
.claude/、.cursor/等厂商私有目录 - ❌ 依赖对话摘要 / 上下文压缩传递状态
- ❌ 在测试红的状态下继续叠新功能
- ❌ 一次性做超出"半天能讲完"粒度的任务再交接
工程原则
- 不保留向后兼容：删除过时路径，而不是加兼容层、回退或迁移代码。
- 选择能完全满足当前需求的最简实现；避免投机性的抽象、配置与间接层。
- 分层演进：从端到端能跑通的最小版本开始，在"已经能用"的基础上叠加新能力；绝不用半成品复杂度替换能用的产品。
- 保持组件模块化，关注点清晰分离。
- 优先采用成熟且维护良好的库（能降低整体复杂度或提升可靠性时）；无明确理由不重复实现常见功能。
- 先用项目里已有的依赖，再考虑自己实现或新增包；在查文档和类型定义之前，不要假设某个库缺少某能力。
- 架构决策面向长期；不接受"只能应付现在、注定以后替换"的临时方案。
冲突裁决：架构边界按长期设计，边界之内的实现按当前最简。
安全红线：绝不提交密钥、证书、证件与客户隐私数据；发现仓库中已存在此类文件时，先报告，不静默处理。
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 · 55 lines · 880 tokens per session scan A 369d7362d26f
b2b-sdr-hermes-skill AGENTS.md is an instructions file published in the GitHub repository iPythoning/b2b-sdr-hermes-skill (44 stars, last pushed 2mo ago), licensed MIT. It adds 880 tokens to every session, about $0.0035 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.
b2b-sdr-hermes-skill AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| b2b-sdr-hermes-skill AGENTS.mdiPythoning/b2b-sdr-hermes-skill | Instructions file | 44 | 2mo ago | MIT | A | 880 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |