mini-program-verification-skill

mini-program-verification-skill is a skill for Codex from NocodeMrLi/mini-program-engineering-skill-suite. It costs 129 tokens per session (1,634 once invoked), scanned A, original, MIT.

A verification guide for WeChat Mini Programs, which are small apps that run inside WeChat. It checks implementations through layers such as static checks, tests, simulators, real devices, cloud environments, and release artifacts.

In plain words
What is it for?
Use it to define acceptance checks, build a risk-based verification matrix, run appropriate tests, record failures and evidence, and report what was or was not verified.
Why use it?
It prevents a successful local build or test from being mistaken for real-device, cloud, review, or production readiness. It records evidence and separates proven results from unknowns.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to define acceptance checks, build a risk-based verification matrix, run appropriate tests, record failures and evidence, and report what was or was not verified.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill
Install

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.

Any agent
npx skills add NocodeMrLi/mini-program-engineering-skill-suite --skill mini-program-verification-skill
Clone the repo
git clone --depth 1 https://github.com/NocodeMrLi/mini-program-engineering-skill-suite

Made for: Codex.

Wrote 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.

agentmods badge for mini-program-verification-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill/github.svg)](https://agentmods.dev/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill)
Your own site
<a href="https://agentmods.dev/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill"><img src="https://agentmods.dev/badge/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill/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.

agentmods 80×15 button for mini-program-verification-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill"><img src="https://agentmods.dev/badge/skills/nocodemrli/mini-program-engineering-skill-suite/mini-program-verification-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,634 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00129 $0.01634
Opus 5.5 $0.00052 $0.00654
Sonnet 5.5 $0.00026 $0.00327
Haiku 4.5 $0.00013 $0.00163

Measured 13d ago against content hash e9c65fe70a91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mini-program-verification-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 13d 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.

skills/mini-program-verification-skill/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/mini-program-verification-skill — 小程序工程验证

固定版本/风险,逐层验证,按证据报告。

输入与版本指纹

  • 接收目标、验收标准、交接、事实图、复现入口和可用环境。
  • 记录已核实的分支/提交/文件哈希、构建/配置、工具/设备/云端环境与时间;匿名快照无 Git 时填 unknown,不借外层提交。
  • 分清本轮/既有改动,不清理、覆盖或计入无关变化。
  • 验收行为不明时退回规格;故障根因不明时退回调试。

风险分层验证

  1. 按目标、变更、共享契约、数据/权限/外部服务和历史缺陷建风险矩阵。
  2. 审计按短路径用工具枚举文件/目标;数量须由清单算出,否则不报。沿用户路径追踪输入→写入→读取→呈现;活动资源列创建、暂停、恢复、销毁,检查 onLoad→onShow→onHide→onShow→onUnload;纯函数正确不等于页面持续可用。
  3. 再核对全称注释/承诺:摘实际表达式并算反例。“不重复”查游标走完集合并再次前进;“追加不影响”用同一输入比较集合长度变化前后的索引;非法数值查 NaN、无穷和小数,重进查状态恢复。不能只建议未来补测试;未证实不得判无发现或确认承诺成立。报告以发现为主体,各域记有发现/未发现/证据不足。
  4. 标高严重度、关键错误或发布阻断前,核实完整性并完成机制反证闭环:调用实参、条件求值、实际分支/兜底、可观察后果,主动查找能推翻该机制的路径。部分快照未含引用只证明缺口;仅完整清单或实际构建/解析失败可证明真实缺失。未证实则区分事实与假设,降级或标记 unknown。
  5. 先做低成本反证,再按风险升级:静态检查、单元测试、集成测试、状态矩阵、真机验证、云端验证、发布验证。
  6. 每项记录实际命令或步骤、退出码、样本/设备、观察结果和证据位置;只写“测过了”不构成证据。
  7. 覆盖正常、空、错误、边界、重复、并发/乱序、恢复与回归;不凑无关测试。
  8. 留存失败证据,区分产品、实现、环境和证据问题;不改期望掩盖失败。
  9. 按 证据可采信规则 逐份核对来源、时间、版本、完整性、独立性、适用结论和不能证明的内容;质量标签不得用结论状态替代。
  10. 未知项目先运行只读 capability doctor(独立安装时同等探测),按 验证能力与适配矩阵 复用能力;不自动安装或执行候选命令。
  11. 多页面/流程/状态按 分维度质量覆盖合同 枚举唯一目标,以只读 check 拦基线漂移;用 质量证据矩阵 记基础/专项、包体/分包、首屏、错误和发布观察窗,按 验证工作流 与 验证证据报告 输出风险。

状态与证据边界

  • 静态检查或单元测试最多支持 locally-verified,不推出真机、云端或发布结论。
  • 模拟器截图不是设备证据;真机证据需绑定机型、系统、微信版本、步骤和截图/日志。
  • 云端证据需绑定环境、部署版本、真实请求与日志;本地桩不能替代。
  • 构建成功不等于已上传;已上传不等于审核通过或正式发布。
  • 自主验证不等于正式验收;没有用户明确确认时,报告“验证通过,待验收”,不写 accepted。

最低输出

  • 目标、范围、版本指纹、风险矩阵和验收行为。
  • 各验证层的已执行命令/步骤、结果、证据位置与失败详情。
  • 审计输出确定性文件/目标清单、点名领域覆盖表、高严重度/发布阻断发现的机制反证闭环。
  • 审计发现全称承诺时,逐条给出“承诺、实际表达式、边界输入或最小反例、结论”;不能计算的标为证据不足,不用测试建议代替核验。
  • 审计活动资源时,逐条给出创建、暂停、恢复、销毁的页面生命周期证据和断点。
  • 条件触发时的目标单元来源、基础/专项覆盖数、失败项、N/A 依据、金样指纹和 check 结果。
  • 未执行、被阻塞和不适用项目,以及为什么未执行。
  • 当前可支持的最高状态、残余风险、不可推出结论和下一项高信息量验证。
  • 截图/截断日志须记工具版本、时间、环境、步骤、证据/构建指纹及完整性;缺失填 unknown。
  • 逐份标 admissible / limited / not-admissible 及理由;没有专用字段时写入事实或限制,proven / not-proven 不能代替证据质量标签。
  • 逐份明判完整性与独立性(来源、采验关系、同源/独立观察、交叉支持或 unknown);哈希/未复核不代替独立性分析。

Read the full file on GitHub · 61 lines

Changes

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.

  1. 13d ago Changed · +1 lines e9c65fe70a91
  2. 26d ago Changed · +8 lines 31a72f17318a
  3. 1mo ago First seen · 52 lines · 129 tokens per session scan A 3d15a425c26f

Subscribe to this mod's changes

mini-program-verification-skill is a skill published in the GitHub repository NocodeMrLi/mini-program-engineering-skill-suite (91 stars, last pushed today), licensed MIT. It adds 129 tokens to every session and 1,634 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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