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-learnnpx skills add arch-team/devpace --skill pace-learngit 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 | $0.00071 | $0.00948 |
| Opus 5 | $0.00036 | $0.00474 |
| Sonnet 5 | $0.00014 | $0.00190 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
pace-learn 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.
What it actually says
/pace-learn — 经验积累与知识管理
devpace 的学习引擎。双模式运行：
- 自动模式（主体）：在关键事件后静默提取经验 pattern 到
.devpace/metrics/insights.md - 手动模式：用户通过子命令管理知识库
子命令路由
重要：根据触发方式（自动/手动）和子命令，仅读取路由表中对应的 procedures 文件，不加载其他 procedures。
| 子命令 | 说明 | 详见 |
|---|---|---|
| （无参数/自动触发） | 事件驱动的自动学习 | 本文件"自动模式流程" + skills/pace-learn/learn-procedures.md |
note <描述> |
手动沉淀探索中的有价值经验 | skills/pace-learn/learn-procedures-query.md §1 |
list [--type TYPE] [--tag TAG] [--confidence MIN] |
按条件筛选 pattern | skills/pace-learn/learn-procedures-query.md §2 |
stats |
知识库统计概览 | skills/pace-learn/learn-procedures-query.md §3 |
export [--path FILE] |
导出可复用经验 | skills/pace-learn/learn-procedures-query.md §4 |
prune [--dry-run] [--decay-only] |
清理低置信度/过期条目 | skills/pace-learn/learn-procedures-query.md §5 |
自动触发场景
| 触发事件 | 事件类型 | 学习重点 | 提取目标 |
|---|---|---|---|
| CR merged | merged |
成功模式 | 可复用的检查项、高效的工作路径 |
| Gate fail | gate1_fail / gate2_fail |
失败教训 | 检查项阈值调整、Claude 盲区识别 |
| 人类打回 | rejected |
理解差距 | 意图理解偏差模式、审查标准校准 |
| 挣扎信号 | struggle |
环境缺陷识别 | Skill/procedures/Schema 改进建议 |
触发源由 hooks/post-cr-update.mjs 检测并输出 devpace:learn-trigger 提醒。
自动模式流程
重要：自动模式按以下步骤执行，仅读取 skills/pace-learn/learn-procedures.md 中对应 Step，不加载 skills/pace-learn/learn-procedures-query.md。
Step 1：前置检查
检查 .devpace/ 是否存在——不存在则静默退出。存在则按触发源确定提取方向（merged→成功 pattern | Gate fail→防御 pattern | rejected→改进 pattern）。
Step 2：提取 Pattern
读取 skills/pace-learn/learn-procedures.md Step 2 执行。
Step 3：对比与积累
读取 skills/pace-learn/learn-procedures.md Step 3 执行。
Step 4：嵌入式反馈
读取 skills/pace-learn/learn-procedures.md Step 4 执行。
输出
- 自动模式：嵌入式 1 行通知（有新 pattern 时），或静默（无有价值发现时）
- 手动模式：按子命令输出，详见
skills/pace-learn/learn-procedures-query.md
约束
- 不修改 CR 文件或其他状态文件（仅写入 insights.md）
- 不中断当前工作流
What ships with it
2 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 · 68 lines · 71 tokens per session scan A 22020dd6fcec
pace-learn is a skill published in the GitHub repository arch-team/devpace (73 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 948 once invoked, about $0.0004 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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