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 commands/xiaobei930/cc-best/taskgit clone --depth 1 https://github.com/xiaobei930/cc-bestWhat 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 | $0.00011 | $0.00701 |
| Opus 5 | $0.00005 | $0.00351 |
| Sonnet 5 | $0.00002 | $0.00140 |
| Haiku 4.5 | $0.00001 | $0.00070 |
Grade A, and why
task 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 2d 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
/task - 任务粒度管理
定义任务拆分标准和执行规范。
任务粒度标准
最小工作单元（原子任务）
定义: 不可再分的最小有意义操作
| 类型 | 示例 | 预期时间 |
|---|---|---|
| 创建文件 | 创建 api/routes.py |
1-5 分钟 |
| 写单个函数 | 实现 process_data() |
5-15 分钟 |
| 修复单个 bug | 修复参数校验 | 5-30 分钟 |
| 添加单个测试 | 测试输入验证 | 5-10 分钟 |
| 更新配置 | 添加环境变量 | 1-5 分钟 |
复合任务（需拆分）
| 类型 | 拆分方式 |
|---|---|
| 集成模块 | 按接口 → 实现 → 测试 |
| 新功能 | 按数据层 → 逻辑层 → API 层 |
| 重构 | 按文件或按功能点 |
任务状态流转
待办 (pending)
↓ 开始执行
进行中 (in_progress) ← 一次只能有一个
↓ 完成验证
已完成 (completed)
阻塞 (blocked) ← 遇到问题时
↓ 问题解决
回到进行中
执行规范
开始任务前
- 确认任务定义清晰
- 检查依赖是否就绪
- 标记任务为 in_progress
执行任务中
- 专注当前任务，不跳跃
- 遇到阻塞立即记录
- 小步验证，不累积
完成任务后
- 验证产出符合预期
- 更新任务状态为 completed
- 更新 progress.md
- 确定下一个任务
任务优先级
| 优先级 | 标识 | 含义 |
|---|---|---|
| P0 | 阻塞其他任务 | 立即处理 |
| P1 | 当前阶段必须完成 | 优先处理 |
| P2 | 可以延后 | 正常处理 |
| P3 | 可选优化 | 有空再做 |
任务拆分检查
好的任务拆分:
- 每个任务有明确的完成标准
- 每个任务可独立验证
- 任务间依赖关系清晰
- 单个任务不超过 30 分钟
需要继续拆分的信号:
- 任务描述超过 2 行
- 涉及多个文件的创建/修改
- 无法在 30 分钟内完成
- 完成标准模糊
记住: 任务管理的核心是可追踪——每个任务有状态、有完成标准，才能避免遗漏。
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.
- 2d ago First seen · 93 lines · 11 tokens per session scan A 21ab6b773e0c
task is a command published in the GitHub repository xiaobei930/cc-best (50 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 701 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 2026-08-30.
Other commands, from other repositories
tldr
Re-apply TLDR rules for this turn (verdict first, no filler).
tldr-help
Quick reference card for tldr modes, slash commands, and triggers.
tldr-review
One-line TLDR PR review comments (verdict first, no filler).
guide
Interactive guide to fellowship. Walks you through a real task using the structured research-plan-implement flow, then shows you what's next.
audit-plugin
Audit plugin skills, commands, and agents for structure, size, and naming issues.
lfe-improve-architecture
Find deepening opportunities in the codebase — turn shallow modules into deep ones. Use in Phase 5 (Hygiene sub-pipeline) or when scheduled by session count.