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 skills add NocodeMrLi/mini-program-engineering-skill-suite --skill foundationgit 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/foundation)<a href="https://agentmods.dev/skills/nocodemrli/mini-program-engineering-skill-suite/foundation"><img src="https://agentmods.dev/badge/skills/nocodemrli/mini-program-engineering-skill-suite/foundation/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/nocodemrli/mini-program-engineering-skill-suite/foundation"><img src="https://agentmods.dev/badge/skills/nocodemrli/mini-program-engineering-skill-suite/foundation.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 | $0.00130 | $0.00638 |
| Opus 5.5 | $0.00052 | $0.00255 |
| Sonnet 5.5 | $0.00026 | $0.00128 |
| Haiku 4.5 | $0.00013 | $0.00064 |
Grade A, and why
evidence-first-engineering 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 1mo 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
/evidence-first-engineering — 证据优先工程基础
本技能是领域无关的工程治理基础：任何领域的 Agent 软件工程套件都可以 vendored 引用本层，再叠加自己的领域事实与平台规则。第一个垂直应用是小程序工程开发套件（mini-program-engineering-suite）。
核心组件
- 证据状态模型：状态只能由匹配证据支持，低级状态不得自动推导为高级状态；交付生命周期与用户验收正交。
- 共享工程门禁：事实、范围、实现与调试、验证与发布、恢复与证据、来源独立性六类门禁。
- 判断与确认规则：按动作影响与可逆性决定直接执行、先给依据还是先确认。
- 脱敏与公开包规则：对外分发的脱敏标准、匿名形式与出包门禁。
- 四个交付模板（项目摸排、实施计划、验证报告、发布清单）统一跨阶段输出结构。
使用方式（对垂直套件作者）
- 把
foundation/目录整体 vendored 到你的套件，或以相对链接引用（单仓场景）。 - 你的领域 Skill 引用上述文档作为门禁与状态语言，不复制正文。
- 领域易变事实（平台规则等）放你自己的事实层，并遵循「执行层即时查官方、内容层受控进化」的保鲜原则。
- 引用本层时保留
foundation-source标记，便于升级时同步。
输出契约（继承，不变）
阶段性或最终汇报至少包含：当前结论与阶段；已完成的动作及证据；未执行、未验证或待确认项；改动边界与残余风险；下一步动作。状态词使用证据状态模型；没有对应证据时诚实标注 unknown，不夸大。
What ships with it
9 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.
- guardrails/decision-and-confirmation-rules.md 918 B
- guardrails/engineering-guardrails.md 3.0 KB
- guardrails/evidence-status-model.md 2.9 KB
- guardrails/redaction-policy.md 3.1 KB
- templates/implementation-plan.md 560 B
- templates/project-intake.md 893 B
- templates/release-checklist.md 982 B
- templates/verification-report.md 595 B
- VALIDATE.md 1.5 KB
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.
- 1mo ago First seen · 29 lines · 130 tokens per session scan A d99c64260242
evidence-first-engineering is a skill published in the GitHub repository NocodeMrLi/mini-program-engineering-skill-suite (91 stars, last pushed yesterday), licensed MIT. It adds 130 tokens to every session and 638 once invoked, about $0.0005 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.
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