Borrowing it
Nothing to install: this file belongs to DavidLam-oss/obsidian-wechat-converter. 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/DavidLam-oss/obsidian-wechat-converter/main/.claude/skills/openprd-standards/SKILL.mdgit clone --depth 1 https://github.com/DavidLam-oss/obsidian-wechat-converterWrote 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/skills/davidlam-oss/obsidian-wechat-converter/openprd-standards)<a href="https://agentmods.dev/skills/davidlam-oss/obsidian-wechat-converter/openprd-standards"><img src="https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/openprd-standards/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/skills/davidlam-oss/obsidian-wechat-converter/openprd-standards"><img src="https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/openprd-standards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.01178 |
| Opus 5 | $0.00013 | $0.00589 |
| Sonnet 5 | $0.00005 | $0.00236 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
openprd-standards 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 7d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenPrd Standards
当文档、文件说明书、文件夹 README 或实现就绪检查在范围内时，使用这份 skill。
必需文档
docs/basic/file-structure.mddocs/basic/app-flow.mddocs/basic/prd.mddocs/basic/frontend-guidelines.mddocs/basic/backend-structure.mddocs/basic/tech-stack.md
报告实现就绪前，先运行 openprd standards . --verify。
对包含源码文件的项目，这个门禁还要求 docs/basic/ 内容具体可用、文件头说明书存在，以及 [project]_[folder]_README.md 文件夹说明完整；如果涉及后端实现，docs/basic/backend-structure.md 还必须显式覆盖 CLI 接入面和 API 接入面，或写明不适用原因。
研发期代码修改完成后、最终回复前，运行 openprd dev-check . <file...> 或 node scripts/openprd-dev-check.mjs . <file...>；该标准层只检查本轮实际 touched code files 的行数状态，不替代 standards --verify；自动优化默认开启时，需要关注的文件应在本轮直接完成高内聚低耦合拆分并以“OpenPRD 自动优化报告”表格呈现（附开关确认一句话）；用 openprd dev-check . --auto-refactor off 关闭后转为“后续建议”推荐表格，最终回复按 🔴 → 🟠 → 🟡 的顺序呈现。
当 dev-check 识别出新的代码扩展名时，会自动补齐识别规则并记录；豁免路径、项目规矩、用户偏好或 OpenPrd 默认行为只作为候选留到收工复盘，用 openprd grow . --review 集中确认。
维护 OpenPrd 本身时，新增或修改任何配置类能力都要检查是否应该成为 grow-aware 配置：高置信可复用、可被用户习惯影响、会随项目环境变化的配置默认纳入 openprd grow；不确定时主动询问用户；一次性固定规则才保留为静态配置。
文档影响检查
- 编辑前先识别本次会变化的文件、文件夹、用户流程、架构边界、依赖和产品行为。
- 代码修改完成后用 dev-check 回顾行数：
ok可正常收尾；自动优化开启（默认）时，需要关注的文件先在本轮完成拆分再以 OpenPRD 自动优化报告 表格呈现并附开关确认；关闭后以 后续建议 表格呈现。两种模式都按 🔴 → 🟠 → 🟡 排序，直接复用 dev-check 生成的表格，保留“问题级别／关注程度”列里的完整风险标签，不要缩成纯 emoji。 - 新增配置类能力时同步评审 grow-aware 入口：候选类型、scope、review/apply 行为、拒绝后不重复提示，以及 user-local 与项目共享配置的边界。
- 新增源码文件：如果缺少文件说明书就补上，并确认所在文件夹 README 已存在。
- 修改源码文件：若已有文件说明书，先读取；当文件职责、输入、输出、依赖或维护规则变化时更新它。
- 文件夹内容新增、移动、删除或改作他用：新增或更新文件夹 README，使其反映当前职责和文件布局。
- 功能、流程、架构、依赖或产品行为变化：即使文件已存在，也更新对应的
docs/basic/文档。 - 后端、脚本、Agent、工具链、服务或数据处理变化：把 CLI 与 API 视为同级接入面，更新
docs/basic/backend-structure.md中的命令入口、输出契约、help/doctor/dry-run/status、接口协议和不适用说明。 - 若必需文档或说明书缺失，或仍停留在模板态，就绪前必须补齐。
- 如果最终不需要改文档，也要说明文档影响检查已完成，以及为什么可以保持不变。
同步触发条件
- 文件或文件夹新增、移动、删除：更新
docs/basic/file-structure.md和相关文件夹 README。 - 产品流程、状态、路由或任务行为变化：更新
docs/basic/app-flow.md。 - 用户可见能力或验收标准变化：更新
docs/basic/prd.md。 - 框架、依赖、运行时或构建命令变化：更新
docs/basic/tech-stack.md。 - 前端或后端结构变化：更新对应的
docs/basic/指南；后端变化时同时评估 CLI 与 API 两个接入面。
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.
- 7d ago First seen · 56 lines · 25 tokens per session scan A ea00b69421dd
openprd-standards is a skill published in the GitHub repository DavidLam-oss/obsidian-wechat-converter (310 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,178 once invoked, about $0.0001 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 2026-09-04.
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