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 agentmods add skills/arch-team/devpace/pace-feedbacknpx skills add arch-team/devpace --skill pace-feedbackgit clone --depth 1 https://github.com/arch-team/devpaceWhat 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 | $0.00111 | $0.01056 |
| Opus 5 | $0.00056 | $0.00528 |
| Sonnet 5 | $0.00022 | $0.00211 |
| Haiku 4.5 | $0.00011 | $0.00106 |
Grade A, and why
pace-feedback 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 yesterday.
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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/pace-feedback — 反馈收集与事件处理
可选功能：用于系统化收集上线后反馈和处理生产事件。简单场景直接说"用户反馈了 X 问题"或"线上有个 bug"即可。
收集上线后反馈和生产环境问题，关联到价值链（目标→Epic→功能→任务），闭合"交付→反馈→改进"循环和"部署→反馈→修复"循环。反馈可关联到 Epic 和 Opportunity（如来源为已有客户反馈）。每条反馈分配唯一 FB-ID，全生命周期可追踪。
输入
$ARGUMENTS：
report <问题描述>→ 紧急通道：跳过分诊，自动进入"生产事件"分支并启用加速路径评估（仅 hotfix/critical 场景自动建议加速）incident open <描述>→ 创建事件记录（严重度评估 + 时间线初始化）incident close <INCIDENT-xxx>→ 关闭事件 + 生成 postmortem 模板incident timeline <INCIDENT-xxx>→ 查看事件时间线incident list→ 列出所有事件（支持--open筛选）<反馈描述>→ 走分诊流程（分类后路由）- （空）→ 引导式收集（渐进式两轮收集）
流程
通用规则见 skills/pace-feedback/feedback-procedures-common.md（每次加载）。按场景按需加载：
| 条件 | 加载文件 |
|---|---|
| 空参数 / 信息不完整 | skills/pace-feedback/feedback-procedures-intake.md |
| 分类为生产事件 / 缺陷 | skills/pace-feedback/feedback-procedures-trace.md |
| severity ≥ major 或 report 参数 | skills/pace-feedback/feedback-procedures-hotfix.md |
| 创建 defect/hotfix CR | skills/pace-feedback/feedback-procedures-analysis.md |
| Step 5 状态更新 | skills/pace-feedback/feedback-procedures-status.md |
| incident open / close / timeline / list | skills/pace-feedback/feedback-procedures-incident.md |
incident 子命令执行路由
| 子命令 | 读取 | 写入 | 规程文件 |
|---|---|---|---|
| incident open | state.md, backlog/, releases/ | incidents/INCIDENT-xxx.md | skills/pace-feedback/feedback-procedures-incident.md |
| incident close | incidents/INCIDENT-xxx.md, backlog/ | incidents/INCIDENT-xxx.md | skills/pace-feedback/feedback-procedures-incident.md |
| incident timeline | incidents/INCIDENT-xxx.md | （只读） | skills/pace-feedback/feedback-procedures-incident.md |
| incident list | incidents/ | （只读） | skills/pace-feedback/feedback-procedures-incident.md |
Step 0：草稿恢复检查
检查 .devpace/backlog/FEEDBACK-DRAFT.md 是否存在（详见 common）：
- 存在 → 提示恢复 / 放弃
- 不存在 → 继续 Step 1
Step 1：分类反馈
| 类型 | 特征 |
|---|---|
| 生产事件 | 线上故障、报错、告警、影响用户 |
| 缺陷 | 功能不符合预期（非紧急） |
| 改进 | 可用但不够好、体验问题 |
| 新需求 | 未覆盖的功能请求 |
| 记录待定 | 信息模糊、分类不确定、暂不处理 |
What ships with it
7 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.
- yesterday First seen · 73 lines · 111 tokens per session scan A ca0928b9d23e
pace-feedback is a skill published in the GitHub repository arch-team/devpace (73 stars, last pushed 4mo ago), licensed MIT. It adds 111 tokens to every session and 1,056 once invoked, about $0.0006 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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