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 asherzj/ashers-agent-skills --skill ask-anything-about-engineering-skillsgit clone --depth 1 https://github.com/asherzj/ashers-agent-skillsWrote 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/asherzj/ashers-agent-skills/ask-anything-about-engineering-skills)<a href="https://agentmods.dev/skills/asherzj/ashers-agent-skills/ask-anything-about-engineering-skills"><img src="https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/ask-anything-about-engineering-skills/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/asherzj/ashers-agent-skills/ask-anything-about-engineering-skills"><img src="https://agentmods.dev/badge/skills/asherzj/ashers-agent-skills/ask-anything-about-engineering-skills.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 | $0.00045 | $0.01262 |
| Opus 5 | $0.00023 | $0.00631 |
| Sonnet 5 | $0.00009 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
ask-anything-about-engineering-skills 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 11d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
研发 Skill 问答与路由
先判断用户要的是一条端到端交付路径，还是某个独立阶段。默认优先推荐封装流程；只有用户明确只需要一个阶段，或正在已有流程中间时，才直接推荐自由组合模块。
第一块：封装好的流程
新需求
- 输入主要是一段口述、会议逐字稿或未经整理的聊天记录 → 先用
from-transcript，再按确认后的规模进入下面流程 - 一项可澄清、需要规格和多张交付工单的新功能 →
flow-feature - 一个局部行为、一次上下文和一次提交即可完成 →
flow-small-change
两者的分界不是代码行数，而是是否需要正式规格和多工单依赖图。
已有工作入口
- 外部提交的原始 Issue 或 PR →
flow-incoming-issue - 难复现、间歇性、性能回归或第一眼无法定位的问题 →
flow-hard-bug - 路线本身仍不可见、需要跨会话消除决策迷雾的超大型工作 →
flow-large-effort - 已有业务行为不变，需要独立完成模块深化、迁移、删除旧结构和上下文回收 →
flow-architecture-maintenance
不要把 to-tickets 生成的工单送进 flow-incoming-issue；它们已经可以直接实现。不要为了普通多工单功能使用 flow-large-effort；只有路线尚不清晰时才需要决策地图。
第二块：自由组合的小模块
澄清与规划
from-transcript：把口述、会议逐字稿或聊天记录编译成经人类确认的研发输入。grill-with-docs：在仓库中通过访谈澄清方案，并沉淀CONTEXT.md与 ADR。prototype：用一次性逻辑或 UI 原型回答一个必须运行或亲眼查看的问题。to-spec：把当前上下文综合成规格并发布到工单系统。to-tickets：把规格拆成带阻塞边的纵向交付工单。wayfinder：为超大且迷雾重重的工作建立共享决策地图。
实现与质量
implement：实现一张规格或工单，完成验证、评审、提交、推送和工单收尾。tdd：单独进行红绿测试驱动切片。code-review：相对固定基准做“代码规范 + 规格忠实度”双轴评审。diagnosing-bugs：先建立能捕获具体故障的紧密反馈回路，再定位并修复。resolving-merge-conflicts：已经处于合并或变基冲突时，按双方意图逐块解决。
工单、知识与架构
triage：把外部 Issue/PR 推进到needs-info、ready-for-agent等规范状态。research：针对高可信一手来源调研，并在仓库中留下带引用结果。domain-modeling：打磨领域术语并记录难以回退的决策。codebase-design：用深模块、接口、接缝和局部性设计模块形状。improve-codebase-architecture：扫描适合代理长期维护的架构深化机会。context-gc：审计并清理领域、架构、决策和代码事实之间的过期、重复与冲突上下文。flow-architecture-maintenance：把选定的架构热点推进为规格、迁移工单、实现、删除和上下文回收。wizard：生成只有人类能完成的第三方配置或切换步骤向导。grilling：只需要访谈原语、不要仓库文档包装时使用。
选择顺序
- 用户是否明确点名了某个 Skill？点名优先。
- 原始输入是否仍是一手口述或逐字稿？先用
from-transcript，不要直接规格化。 - 用户是否要求端到端交付？从六个封装流程中选择。
- 用户是否只要求某个阶段？直接选择对应模块。
- 当前是否已经位于某个流程中间？从现有耐久产物（输入简报、Issue、规格、决策地图、原型指针）继续，不要从头重复澄清。
- 如果仍无法判断，只问一个会改变路线的问题；不要让用户重新描述已经给出的事实。
阶段边界
在澄清、原型、规格、拆票、实现和 QA 的边界处，根据 PHASE-BOUNDARIES.md 判断是继续、清空、handoff、交给子代理还是压缩上下文。阶段中途不要压缩；要么继续，要么把剩余任务切成范围明确的子任务。
仓库前置配置
第一次在某个仓库运行依赖工单系统、分诊标签或领域文档的流程前，先调用 setup-engineering-skills。自定义工单系统同样可以通过该入口记录。
What ships with it
2 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.
- 11d ago First seen · 77 lines · 45 tokens per session scan A 500c4f19e0b1
ask-anything-about-engineering-skills is a skill published in the GitHub repository asherzj/ashers-agent-skills (2 stars, last pushed 14d ago), licensed MIT. It adds 45 tokens to every session and 1,262 once invoked, about $0.0002 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 2026-08-31.
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