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/astordu/qoderharness/ce-compound-litenpx skills add astordu/qoderharness --skill ce-compound-litegit clone --depth 1 https://github.com/astordu/qoderharnessWrote 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/astordu/qoderharness/ce-compound-lite)<a href="https://agentmods.dev/skills/astordu/qoderharness/ce-compound-lite"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/ce-compound-lite.svg" alt="Measured on agentmods" 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 | $0.00121 | $0.00881 |
| Opus 5 | $0.00060 | $0.00441 |
| Sonnet 5 | $0.00024 | $0.00176 |
| Haiku 4.5 | $0.00012 | $0.00088 |
Grade A, and why
ce-compound-lite 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 6d 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
CE Compound Lite
在任务完成后使用此技能,将已完成的工作蒸馏为可复用的方案文档。
目标
创建一份持久、可搜索的方案笔记,供未来的 agent 复用。
仅在 docs/solutions/ 下写入一个最终文件。Subagent 不得写文件。
何时使用
- 任务揭示了非显而易见的修复、工作流或决策
- 任务涉及调试、调查或权衡取舍
- 用户要求"复利工程"、"沉淀"、"lessons learned"或"write this up"
如果任务很琐碎且没有产生可复用的洞察,跳过此技能。
输入
收集最少必要的上下文:
- 最近的用户请求
- 变更的文件或产生的产物
- 关键命令、错误或约束
docs/solutions/下可能与新内容重叠的已有文档
轨道
选择一个主轨道:
bug:诊断并修复了一个异常行为knowledge:建立了一个可复用的实现模式、决策或工作流
工作流
- 从当前对话和工作区收集任务上下文。
- 一定要通过 Agent 工具启动最多三个 subagent(位于
.qoder/agents/):context-analyzer:分析上下文solution-extractor:提取可复用方案related-docs-finder:发现相关已有文档
- 检查
docs/solutions/中是否已有可能重叠的文档。 - 决定是创建新笔记还是更新已有笔记。
- 在
docs/solutions/下写入恰好一个 Markdown 文件。
Subagent 规则
如果启动 subagent:
- 给每个 subagent 一个狭窄的只读任务
- 让它们以纯文本返回发现
- 不允许 subagent 编辑文件
- 编排器拥有所有最终编辑权
输出格式
使用此结构:
---
title: 简短标题
slug: short-kebab-name
track: bug|knowledge
updated_at: YYYY-MM-DD
keywords:
- keyword
- keyword
---
# 简短标题
## 问题
发生了什么或需要弄清楚什么。
## 上下文
约束、症状、根因或相关环境细节。
## 方案
最终采用的方法。有用时引用具体文件、命令或检查。
## 复用
未来 agent 遇到类似情况时应首先做什么。
## 参考
- 相对路径或命令
质量标准
- 偏好一个具体笔记而非宽泛摘要
- 移除填充内容,只保留下次有用的信息
- 包含足够的细节使笔记可执行
- 保持文件名稳定且可搜索
文件命名
使用 docs/solutions/<slug>.md。
推荐简短描述性的 slug,例如:
fix-dev-server-port-conflict.mddocument-postgres-migration-workflow.md
可发现性
未来 agent 在重新解决类似问题前应搜索 docs/solutions/。
如果 AGENTS.md 未提及此目录,更新它。
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.
- 6d ago First seen · 119 lines · 121 tokens per session scan A 82b09af97c90
ce-compound-lite is a skill published in the GitHub repository astordu/qoderharness (23 stars, last pushed 2d ago), licensed MIT. It adds 121 tokens to every session and 881 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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