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 yunshu0909/yunshu_skillshub --skill backlog-managergit clone --depth 1 https://github.com/yunshu0909/yunshu_skillshubWrote 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/yunshu0909/yunshu_skillshub/backlog-manager)<a href="https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/backlog-manager"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/backlog-manager/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/yunshu0909/yunshu_skillshub/backlog-manager"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/backlog-manager.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 | $0.00063 | $0.02083 |
| Opus 5 | $0.00032 | $0.01042 |
| Sonnet 5 | $0.00013 | $0.00417 |
| Haiku 4.5 | $0.00006 | $0.00208 |
Grade A, and why
backlog-manager 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 12d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
用户随时会抛出产品想法、使用痛点、功能需求。AI 负责将这些零散输入整理成结构化的需求池, 并在用户准备启动新版本时协助筛选。需求池是一个持续维护的文件,不是一次性产出。
核心原则
- 痛点驱动 — 只收集真实痛点和明确想法,不做假设性规划
- AI 整理,用户决策 — AI 负责追问、归类、合并;用户负责确认和拍板
- 先归档,再说做不做 — 新想法先进池子,不急着排优先级或启动开发
- 池子要活 — 定期清理过时条目,升档想清楚的条目,不让池子变成垃圾堆
- 不越界 — 需求池管理到"可以做了"为止,后续的设计/PRD/开发由其他流程接管
需求池文件
位置:docs/需求池.md
如果文件已存在,在现有内容上更新。如果不存在,按以下模板创建。
文件模板
# 需求池
> 随手记,随时加,隔段时间过一遍。
>
> 状态说明:
> - **可以做了** — 痛点清晰,知道要做成什么样,随时能进设计/PRD
> - **需要想想** — 方向有了,细节没展开,需要调研或讨论
> - **先放着** — 记着就行,现在不花精力想
> - **已完成** — 做完了,标版本号归档
---
## 总览
| # | 需求 | 状态 | 依赖 | 备注 |
|---|------|------|------|------|
| 1 | xxx | 可以做了 | 无 | xxx |
---
## 可以做了
### 需求名称
- 痛点:xxx
- 方案:xxx
- 备注:xxx
---
## 需要想想
### 需求名称
- 方向:xxx
- 依赖:xxx
- 待展开:xxx
---
## 先放着
### 需求名称
- 想法:xxx
- 备注:xxx
---
## 已完成
### 需求名称(V0.xx)
- 完成时间:yyyy-mm-dd
- 简述:xxx
条目模板说明
每个条目根据所在分区使用不同字段:
| 分区 | 必填字段 | 可选字段 |
|---|---|---|
| 可以做了 | 痛点、方案 | 备注 |
| 需要想想 | 方向 | 依赖、待展开 |
| 先放着 | 想法 | 依赖、备注 |
| 已完成 | 完成时间、简述 | — |
总览表每个条目必须有:编号、需求名称、状态、依赖、备注。
工作流程
第 1 步:收集 — 用户抛出新想法
用户说了一个想法或痛点后,主动追问:
- 痛点是什么 — 现在遇到了什么问题?什么场景下不爽?
- 频率多高 — 多久碰到一次?
- 现在怎么绕 — 不做这个功能的话,手动怎么解决?
整理成一句话描述,向用户确认:"我理解的是 xxx,对吗?"
禁止:
- 用户说了一句话就直接写进需求池,必须先追问确认
- 追问超过 3 轮还没收敛,先按当前理解归档,标注"待进一步讨论"
第 2 步:归类 — 判断状态和合并
- 读取现有需求池(如果存在)
- 检查是否可合并 — 新想法是否和已有条目属于同一个方向?
- 可合并 → 告诉用户"这个和 #X 相关,我建议合并成 xxx",等用户确认
- 不可合并 → 作为新条目
- 判断状态 — 根据追问结果归档:
- 用户能说清痛点和大致方案 → 可以做了
- 用户有方向但细节模糊 → 需要想想
- 用户自己也说"先记着" → 先放着
- 向用户确认归类结果,用户同意后再写入文件
禁止:
- AI 自行判断状态不跟用户确认
- 强行合并用户认为不同的需求
第 3 步:写入 — 更新需求池文件
确认后更新 docs/需求池.md:
- 在对应分区添加条目详情
- 更新总览表(加新行或修改已有行)
- 如果发生合并,更新被合并条目的内容和总览表
格式要求:
- 总览表和详情区必须同步更新,不能只改一处
- 编号递增,不复用已删除的编号
- 已完成的条目保留在总览表中,状态标"已完成"
第 4 步:整理 — 定期过一遍池子
当用户说"整理一下需求池"或"看看需求池"时:
- 读取完整需求池文件
- 逐条过,对每条给出建议:
- 过时了 → 建议删除,说明理由
- 想清楚了 → 建议升档(先放着 → 需要想想,或需要想想 → 可以做了),说明依据
- 还是模糊 → 追问 1-2 个关键问题,帮用户想清楚
- 没变化 → 跳过,不废话
- 用户逐条确认后,批量更新文件
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.
- 12d ago First seen · 212 lines · 63 tokens per session scan A 0742dcef3e2a
backlog-manager is a skill published in the GitHub repository yunshu0909/yunshu_skillshub (757 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 2,083 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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