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/xiaobei930/cc-best/sessionnpx skills add xiaobei930/cc-best --skill sessiongit clone --depth 1 https://github.com/xiaobei930/cc-bestWrote 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/xiaobei930/cc-best/session)<a href="https://agentmods.dev/skills/xiaobei930/cc-best/session"><img src="https://agentmods.dev/badge/skills/xiaobei930/cc-best/session.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 | $0.00024 | $0.01091 |
| Opus 5 | $0.00012 | $0.00545 |
| Sonnet 5 | $0.00005 | $0.00218 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
session 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
会话生命周期管理
本技能提供 Claude Code 会话的生命周期管理策略,整合持续学习和上下文压缩。
会话生命周期
会话开始 ──→ 工作阶段 ──→ 检查点 ──→ 会话结束
│ │ │ │
│ │ │ └─→ 提取模式 (/learning)
│ │ └─→ 上下文压缩 (/cc-best:compact-context)
│ └─→ 持续工作
└─→ 加载上次上下文
策略选择
| 场景 | 推荐策略 | 子技能 |
|---|---|---|
| 上下文接近限制 | 策略性压缩 | /cc-best:compact-context |
| 完成重要任务节点 | 主动压缩 | /cc-best:compact-context |
| 会话结束时 | 提取可复用模式 | /learning |
| 解决了复杂问题 | 记录解决方案 | /learning |
| 发现项目特定知识 | 记录到知识库 | /learning |
子技能
1. learning(持续学习)
适用场景:
- 会话结束时提取模式
- 记录调试技巧
- 保存项目特定知识
- 积累可复用解决方案
使用方式:/learning 或参阅 skills/learning/SKILL.md
2. compact(上下文压缩)
适用场景:
- 上下文接近限制时
- 完成阶段性任务后
- 切换工作主题前
- 需要释放上下文空间
使用方式:/cc-best:compact-context 或参阅 skills/compact/SKILL.md
最佳实践
何时压缩
- 主动压缩 - 完成一个功能模块后
- 被动压缩 - 系统提示上下文接近限制
- 切换压缩 - 准备切换到不同任务前
何时记录
- 立即记录 - 解决问题后立即记录
- 定期回顾 - 会话结束前检查值得记录的内容
- 增量更新 - 发现新知识时更新已有记录
会话别名 | Session Aliases
为会话设置语义化标签,便于快速查找和恢复。
别名管理
在会话元数据中记录语义化标签:
{
"name": "feature-login-page",
"sessionPath": "memory-bank/progress.md",
"tags": ["feature", "frontend"],
"created": "2026-02-24 14:30:00",
"summary": "实现登录页面 - PM/Lead/Dev 已完成"
}
存储位置: ~/.claude/session-aliases.json(全局,跨项目共享)
标签分类系统:
| 前缀 | 含义 | 示例 |
|---|---|---|
feature-* |
功能开发 | feature-login-page |
bugfix-* |
缺陷修复 | bugfix-auth-timeout |
refactor-* |
重构改进 | refactor-api-layer |
explore-* |
技术探索 | explore-new-framework |
跨会话恢复
当使用 /cc-best:catchup 恢复时:
- 读取上次会话的 alias 信息
- 加载对应的 progress.md 状态
- 显示上次会话的关键决策摘要
别名操作
- 保存: 会话结束时自动提示或通过
/cc-best:checkpoint手动触发 - 查找: 通过
/cc-best:catchup --alias <name>快速恢复指定会话 - 清理: 超过 30 天未使用的别名自动标记为过期
What ships with it
4 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 · 125 lines · 24 tokens per session scan A 83aa92eef14d
session is a skill published in the GitHub repository xiaobei930/cc-best (50 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 1,091 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
rtk-optimizer
Wrap high-verbosity shell commands with RTK to reduce token consumption. Use when running git log, git diff, cargo test, pytest, or other verbose CLI output that wastes context window tokens.
catchup
Restore context after /clear by summarizing recent work and project state.
session-save
Save the current session state (decisions, modified files, current status, and next steps) to a handoff file for later resume.
handoff-create
Generate a structured handoff document from the current session. Captures scope, relevant files with line numbers, key discoveries, work completed, current status, next steps, and code snippets. Use before ending a session or handing work to another agent.
handoff-update
Update an existing handoff document with current session progress. Applies section-specific merge rules: append-only for Work Done (never deletes history), replace for Status and Next Steps, merge for Files and Discoveries. Falls back to creating a new handoff if no source file is found.
handoff-resume
Load a handoff document and resume work from where a previous session left off. Parses scope, file references, completed work, and next steps, then confirms understanding before proceeding.