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 astordu/qoderharness --skill to-spec-for-pmgit clone --depth 1 https://github.com/astordu/qoderharnessWrote 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/astordu/qoderharness/to-spec-for-pm)<a href="https://agentmods.dev/skills/astordu/qoderharness/to-spec-for-pm"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/to-spec-for-pm/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/astordu/qoderharness/to-spec-for-pm"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/to-spec-for-pm.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 | $0.00054 | $0.01278 |
| Opus 5 | $0.00027 | $0.00639 |
| Sonnet 5 | $0.00011 | $0.00256 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
to-spec-for-pm 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 9d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
这个技能获取当前对话的上下文,产出一份面向产品经理的业务需求规格文档。文档的目标读者是不懂技术但熟悉业务的 PM,因此所有内容都应从业务视角和用户视角出发,使用通俗易懂的语言,避免技术术语。
不要访谈用户——只综合你在对话中已经确认过的需求。
issue tracker 与分诊(triage)标签词汇应当已经提供给你——如果没有,运行 /init_goder_harness。
流程
-
回顾对话:梳理当前对话中已经讨论和确认的所有需求决策点。如果有些关键问题在对话中没有明确,在文档中标注为「待确认」。
-
探索现有系统:了解当前系统中相关功能的现状,以便在文档中清楚地说明「现在是什么样」和「要变成什么样」。
-
用下面的模板编写规格文档,然后把它发布到项目的 issue tracker。打上
spec-for-pm分诊标签。
需求背景
用 1-2 段话说清楚:
- 现在系统里这个功能是什么样的?
- 用户遇到了什么问题或不便?
- 为什么现在要做这个改动?
用 PM 能理解的语言,避免任何技术术语。
使用场景
描述用户在什么情况下会使用这个功能。用讲故事的方式,让 PM 能脑补出具体画面。
示例格式:
小明每天早上打开健康 App 查看昨晚的睡眠数据。昨晚他忘了戴手表,App 里没有昨晚的睡眠记录。他希望在 App 里手动补录一下昨晚大概睡了几个小时。
需求决策清单
把对话中已经确认的所有业务决策整理成表格:
| 序号 | 决策项 | 结论 | 备注 |
|---|---|---|---|
| 1 | xxx | xxx |
如果有尚未确认的事项,在备注列标注「待确认」。
用户故事
列出与本次需求相关的用户故事,格式如下:
- 作为一名 <角色>,我想要 <功能>,以便 <收益>
- 作为一名 <角色>,当我 <某个情况> 时,我希望系统 <某个行为>,以便 <收益>
用户故事应覆盖本次需求的所有方面,包括正常流程和异常情况。
业务规则
列出本次需求涉及的业务规则,每条规则用一句话说清楚:
- 规则 1:xxx
- 规则 2:xxx
示例:
- 用户只能选择今天及之前的日期,不能选择未来日期
- 如果同一天已有记录,新保存的记录将覆盖旧记录
- 质量评分为可选项,不填时系统不记录质量分数
页面与交互设计
入口说明
说明用户从哪里进入这个功能。如有需要,用简单的 ASCII 示意图标注入口位置。
页面布局
用 ASCII 框图画出页面/弹窗/卡片的布局,让 PM 能直观看到最终效果。
示例:
┌─────────────────────────────────────┐
│ Add Sleep [X] │
├─────────────────────────────────────┤
│ │
│ Date │
│ ┌─────────────────────────────┐ │
│ │ 2026-08-11 │ │
│ └─────────────────────────────┘ │
│ │
│ Duration (hours) │
│ ┌─────────────────────────────┐ │
│ │ 7.5 │ │
│ └─────────────────────────────┘ │
│ │
│ Quality (optional) │
│ ┌─────────┐ ┌─────────┐ ┌───────┐ │
│ │ 😊 好 │ │ 😐 中 │ │ 😫 差 │ │
│ └─────────┘ └─────────┘ └───────┘ │
│ │
│ [Cancel] [Save] │
└─────────────────────────────────────┘
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.
- 9d ago First seen · 138 lines · 54 tokens per session scan A 02a264c06d4d
to-spec-for-pm is a skill published in the GitHub repository astordu/qoderharness (28 stars, last pushed 6d ago), licensed MIT. It adds 54 tokens to every session and 1,278 once invoked, about $0.0003 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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