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 pixel-cellar/Claude-Code-Game-Studios --skill retrospectivegit clone --depth 1 https://github.com/pixel-cellar/Claude-Code-Game-StudiosWrote 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/pixel-cellar/claude-code-game-studios/retrospective)<a href="https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/retrospective"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/retrospective/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/pixel-cellar/claude-code-game-studios/retrospective"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/retrospective.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 | $0.00044 | $0.01655 |
| Opus 5.5 | $0.00018 | $0.00662 |
| Sonnet 5.5 | $0.00009 | $0.00331 |
| Haiku 4.5 | $0.00004 | $0.00166 |
Grade A, and why
retrospective 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 1mo 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.
What it actually says
当此技能被调用时:
-
读取参数确定这是 Sprint 回顾 (
sprint-N)还是里程碑回顾(里程碑名称)。 -
读取 Sprint 或里程碑计划从相应位置:
- Sprint 计划:
production/sprints/ - 里程碑定义:
production/milestones/
提取:计划任务、预估工作量、负责人和目标。
- Sprint 计划:
-
读取 git log 以了解该 Sprint 或里程碑覆盖的时间段内 实际提交了什么以及何时提交。
-
扫描已完成和未完成的任务,通过对比计划与实际交付物。检查:
- 按计划完成的任务
- 已完成但与计划有修改的任务
- 延期任务(未完成)
- Sprint 中途添加的任务(计划外工作)
- 被移除或缩减范围的任务
-
扫描代码库中的 TODO/FIXME 趋势:
- 统计当前的 TODO/FIXME/HACK 注释数
- 与上一 Sprint 的计数对比(如可用,检查之前的回顾)
- 注意技术债务是在增长还是减少
-
读取之前的回顾(如有),来自
production/sprints/或production/milestones/,以检查:- 之前的行动项是否已处理?
- 相同的问题是否在重复出现?
- 速率趋势如何?
-
生成回顾:
## 回顾:[Sprint N / 里程碑名称]
周期:[开始日期] -- [结束日期]
生成日期:[日期]
### 指标
| 指标 | 计划 | 实际 | 差异 |
|------|------|------|------|
| 任务数 | [X] | [Y] | [+/- Z] |
| 完成率 | -- | [Z%] | -- |
| 故事点 / 工作量天数 | [X] | [Y] | [+/- Z] |
| 发现的 Bug | -- | [N] | -- |
| 修复的 Bug | -- | [N] | -- |
| 新增的计划外任务 | -- | [N] | -- |
| 提交数 | -- | [N] | -- |
### 速率趋势
| Sprint | 计划 | 完成 | 完成率 |
|--------|------|------|--------|
| [N-2] | [X] | [Y] | [Z%] |
| [N-1] | [X] | [Y] | [Z%] |
| [N](当前) | [X] | [Y] | [Z%] |
**趋势**:[上升 / 稳定 / 下降]
[一句话解释趋势]
### 做得好的方面
- [由具体数据或示例支持的观察]
- [另一个正面观察]
- [认可特定贡献或取得了回报的决策]
### 做得不好的方面
- [具有可衡量影响的具体问题 — 例如 "功能 X 花了 5 天而非预估的 2 天,阻塞了任务 Y 和 Z"]
- [另一个有影响的问题]
- [不要归咎个人 — 关注系统性原因]
### 遇到的阻碍
| 阻碍项 | 持续时间 | 解决方式 | 预防措施 |
|--------|---------|---------|---------|
| [什么阻碍了进展] | [持续多久] | [如何解决] | [如何预防再次发生] |
### 估算准确性
| 任务 | 预估 | 实际 | 偏差 | 可能原因 |
|------|------|------|------|---------|
| [最严重高估的任务] | [X] | [Y] | [+Z] | [为什么] |
| [最严重低估的任务] | [X] | [Y] | [-Z] | [为什么] |
**整体估算准确性**:[X%] 的任务在预估的 +/- 20% 以内
[分析:我们是否持续高估或低估?对于哪些类型的任务?应该做何调整?]
### 延期分析
| 任务 | 原始 Sprint | 延期次数 | 原因 | 处理方式 |
|------|-----------|---------|------|---------|
| [未完成的任务] | [Sprint N-X] | [N] | [为什么] | [完成 / 缩减范围 / 重新设计] |
### 技术债务状态
- 当前 TODO 数量:[N](上次:[N])
- 当前 FIXME 数量:[N](上次:[N])
- 当前 HACK 数量:[N](上次:[N])
- 趋势:[增长 / 稳定 / 减少]
- [注意任何令人关注的领域]
### 上次行动项跟进
| 行动项(来自 Sprint N-1) | 状态 | 备注 |
|--------------------------|------|------|
| [上次的行动] | [已完成 / 进行中 / 未开始] | [上下文] |
### 下次迭代的行动项
| # | 行动 | 负责人 | 优先级 | 截止日期 |
|---|------|--------|--------|---------|
| 1 | [具体、可衡量的行动] | [谁] | [高/中/低] | [何时] |
| 2 | [另一个行动] | [谁] | [优先级] | [何时] |
### 流程改进
- [工作方式的具体改变,附预期收益]
- [另一项改进 — 保持在 2-3 个可执行的改进项,而非愿望清单]
### 总结
[2-3 句话整体评估:这是一个好的 Sprint/里程碑吗?下一步最重要的改变是什么?]
-
保存回顾到相应位置:
- Sprint:
production/sprints/sprint-[N]-retrospective.md - 里程碑:
production/milestones/[里程碑名称]-retrospective.md
如目录不存在则创建。
- Sprint:
-
向用户输出摘要:完成率、速率趋势方向、首要阻碍项,以及最重要的行动项。
指南
- 要诚实和具体。模糊的回顾("沟通可以更好")只能产生模糊的改进。使用数据和示例。
- 关注系统性问题,而非个人责任。
- 行动项限制在 3-5 个。更多会分散注意力。
- 每个行动项必须有负责人和截止日期。
- 检查之前的行动项是否已完成。反复出现的未处理项是流程问题的信号。
- 如果这是里程碑回顾,还需评估里程碑目标是否达成,以及这对整体项目时间线意味着什么。
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.
- 1mo ago First seen · 150 lines · 44 tokens per session scan A 9e8e2028e5a9
retrospective is a skill published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (361 stars, last pushed 6mo ago), licensed MIT. It adds 44 tokens to every session and 1,655 once invoked, about $0.0002 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 2026-09-03.
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