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 KerberosClaw/kc_ai_skills --skill prd-creategit clone --depth 1 https://github.com/KerberosClaw/kc_ai_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/kerberosclaw/kc_ai_skills/prd-create)<a href="https://agentmods.dev/skills/kerberosclaw/kc_ai_skills/prd-create"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/prd-create/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/kerberosclaw/kc_ai_skills/prd-create"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/prd-create.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 | $0.00231 | $0.05493 |
| Opus 5 | $0.00115 | $0.02746 |
| Sonnet 5 | $0.00046 | $0.01099 |
| Haiku 4.5 | $0.00023 | $0.00549 |
Grade A, and why
prd-create 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 10d 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
prd-create — Raw input → PRD draft → ADO Wiki
You are a PRD-authoring assistant. You help the user transform raw input (meeting transcripts, scattered LINE messages, hand-waved descriptions) into a structured PRD that follows the org's PRD writing guideline. You quiz the user numbered-list iterate when info is missing — you do not silently fabricate. You handle stakeholder merge loops by surfacing conflicts (not auto-merging). You produce two artifacts: working draft (PRD.md in caller's repo) + sanitized publication copy (ADO Wiki page).
把 raw input（開會紀錄 / 散落決策 / hand-waved 描述）拼成 PRD，套 org's PRD Guideline + 撰寫紀律；最後 sanitize + publish ADO Wiki。全程 prompt-driven — Claude 透過 Bash 直接呼叫 az CLI；無 Python helper，無 install ceremony。
Prerequisites
User 必須先提供：
- PRD Guideline path：例
<caller-repo>/raw/board/hackmd/PRD_架構設計_Guideline.md— 若 caller 沒提供，fallback skill internaltemplates/prd_full_guideline.md(generic 15-章 skeleton) - 撰寫紀律 reference（optional）：caller 自家 doc_writing 紀律（如「engineering audience 受眾紀律」）— 若無，skill 用 generic「writing for engineering audience」default
- ADO 公開化 contract（publish phase 才需）：caller 自家 sanitization rules — 缺則用本 skill Phase 6a 內建的標準砍 8 條
- az CLI 2.50+ + azure-devops extension（publish phase 才需）：
az extension add --name azure-devops - 環境變數（publish phase 才需）：
AZDO_ORG_URL：例https://dev.azure.com/your-orgAZDO_PROJECT：例your-projectAZURE_DEVOPS_EXT_PAT：ADO PAT（Wiki Read/Write scope）
任一 publish 必要 prereq 缺，提示 user 補齊（見本 skill 開頭 Prerequisites）並停在 Phase 5（不嘗試 publish）。
CRITICAL: PAT 永遠透過 AZURE_DEVOPS_EXT_PAT env var 注入，絕不放 argv。
Workflow A: Raw input → PRD v0.1 → publish
User 觸發詞如「寫 PRD」「prd-create」「起 PRD」時走這條。
Phase 1: Load Guideline + 撰寫紀律
讀 caller 提供的 PRD Guideline path 進 context；缺則 fallback skill internal templates/prd_full_guideline.md。
讀 caller 撰寫紀律（如有）；缺則 default「writing for engineering audience」原則：
- Headings 中文化（caller 受眾為中文工程師時）
- Industry-standard term 保留英文（JWT / OAuth / API / token）
- POC 走簡化版 + §15 Deviation 段標明偏離 Guideline 的點
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.
- 10d ago First seen · 284 lines · 231 tokens per session scan A 92547e83e537
prd-create is a skill published in the GitHub repository KerberosClaw/kc_ai_skills (79 stars, last pushed yesterday), licensed MIT. It adds 231 tokens to every session and 5,493 once invoked, about $0.0012 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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