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.
npx agentmods add skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-project-intake-skillnpx skills add NocodeMrLi/mini-program-engineering-skill-suite --skill mini-program-project-intake-skillgit clone --depth 1 https://github.com/NocodeMrLi/mini-program-engineering-skill-suiteWrote 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/nocodemrli/mini-program-engineering-skill-suite/mini-program-project-intake-skill)<a href="https://agentmods.dev/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-project-intake-skill"><img src="https://agentmods.dev/badge/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-project-intake-skill.svg" alt="Measured on agentmods" 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 | $0.00127 | $0.00833 |
| Opus 5 | $0.00063 | $0.00417 |
| Sonnet 5 | $0.00025 | $0.00167 |
| Haiku 4.5 | $0.00013 | $0.00083 |
Grade A, and why
mini-program-project-intake-skill 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 5d 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
/mini-program-project-intake-skill — 小程序项目接管
对已有小程序执行只读接管，建立当前事实、风险、未知项和改动边界。接管完成前不修改代码，也不把历史计划当成当前事实。
只读边界
- 可以读取文件、目录、版本控制状态、现有日志和已有构建信息。
- 不修改代码、配置或文档，不安装依赖，不生成构建产物，不部署或改变外部状态。
- 若用户同时要求实现功能，先完成本接管输出，再把事实图交给后续阶段。
- 不能从文件存在推导出功能可运行，也不能从历史记录推导出当前真机、云端或发布状态。
接管流程
- 解析项目根目录，并读取从项目根到当前目录范围内的规则文件。
- 使用
rg --files或等价只读方式建立目录画像，识别框架、入口、页面、组件、服务、云端目录、配置、测试与文档。 - 读取包管理、构建、平台和版本控制配置，记录可用命令，但不要在接管阶段运行会写入产物的命令。
- 检查 Git 状态、当前分支、未提交文件和忽略规则；把现有改动视为用户资产，不覆盖、不清理。
- 按 项目接管方法 区分当前事实、历史记录、推断和未知项。
- 根据 项目事实图模板 输出结论，明确改动边界、需要保护的行为和下一阶段入口条件。
事实源优先级
按“用户当前明确要求 → 项目级规则 → 当前源码与配置 → 当前平台或运行结果 → 最新内部文档 → 历史方案与截图 → 一般经验”判断冲突。低优先级信息不能覆盖高优先级事实。
最低输出
- 用户目标和本轮只读范围。
- 已读取的事实源及其时效性。
- 技术栈、入口、关键模块、数据与外部依赖。
- 构建、测试、预览和发布链路的可见配置。
- 当前 Git 状态与必须保护的用户改动。
- 已确认风险、冲突、假设和未知项。
- 允许影响的文件、模块和行为组成的改动边界。
- 下一阶段可以开始的条件，以及仍需用户确认的事项。
停止条件
项目根目录无法确定、规则文件互相冲突、读取权限不足，或缺失信息会 materially（实质性地）改变后续方案时，停止在只读接管阶段并说明具体阻塞。不要用猜测填补核心产品语义。
套件协作
独立安装时，本 Skill 可单独完成项目接管。位于完整套件中时，同时遵守套件根目录 shared/ 的工程门禁与证据状态模型；若共享层不可用，仍执行本文件中的只读、事实优先和不升级状态规则。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 49 lines · 127 tokens per session scan A 06b9ed753a94
mini-program-project-intake-skill is a skill published in the GitHub repository NocodeMrLi/mini-program-engineering-skill-suite (42 stars, last pushed 4d ago), licensed MIT. It adds 127 tokens to every session and 833 once invoked, about $0.0006 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.
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