← 返回
未分类

Token Efficiency

Avoid unnecessary context burn. Surgical file reads, batched commands, less narration. Every token read is a token taxed.
避免不必要的上下文消耗。精准读取文件,批量执行指令,减少冗余叙述。每个读取的 token 都计费。
nubzparmesan
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 168
下载
💾 0
安装
1
版本
#latest

概述

Token Efficiency - Avoiding Unnecessary Context Burn

Every token read is a token taxed. Be surgical.

Core Rules

  • grep/tail over full reads — need one section? grep -A 20 "## Section". Need the end? tail -50. Don't read 500 lines to find 5.
  • batch API calls — one curl with multiple params > three separate curls. Combine endpoint checks into single scripts.
  • sub-agents for heavy research — scraping a thread, summarizing 50 posts, reading a full repo? Spawn a sub-agent. Don't burn main context on bulk work.
  • don't re-read context — if a file was already read this session, use what you have. Never read it again "just to be sure."
  • summarize before storing — tool output going to a file? Strip it down first. Store the insight, not the raw dump.

Anti-Patterns (Observed)

BadGood
-----------
Read full 3000-line comment threadgrep -c "" for count, tail for recent, grep for keywords
4 separate curl calls to 4 endpointsOne script, four curls, one python parse pass
Narrate every grep and read stepJust do it, report the finding
Re-read SKILL.md to "refresh" mid-sessionTrust what's already in context
Store raw JSON API responseExtract the 3 fields you care about, store those

When to Use Sub-Agents

  • Research tasks > ~10 tool calls
  • Bulk reading (threads, repos, feeds)
  • Tasks that can run in parallel with main work
  • Anything that would dominate your context window

Quick Heuristics

  • If you're about to read a file you've already read → stop
  • If you're about to make the same API call twice → cache the result
  • If narrating a step takes longer than doing it → just do it
  • If a task feels heavy → sub-agent it

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-12 06:10 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-intelligence

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。支持创建/查询实体(人员、项目、任务、事件、文档)及关联...
★ 712 📥 243,850
security-compliance

Skill Vetter

spclaudehome
AI智能体技能安全预审工具。安装ClawdHub、GitHub等来源技能前,检查风险信号、权限范围及可疑模式。
★ 1,215 📥 266,557
developer-tools

Github

steipete
使用 `gh` CLI 与 GitHub 交互,通过 `gh issue`、`gh pr`、`gh run` 和 `gh api` 管理议题、PR、CI 运行及高级查询。
★ 668 📥 324,188