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token-efficiency

token-efficiency

Cross-platform token audit and optimization for AI coding agents (Cursor, Codex, Claude Code, Hermes, Windsurf, Cline, OpenClaw, Gemini CLI, Aider). Scans always-on context, MCP tools, skills; ranks ROI fixes; installs L0-L3 rules; shrinks large tool outputs. Use for save tokens, token audit, context bloat, MCP prune, reduce API cost, agent efficiency, payl…

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Hhhu3637kr / skillsApache-2.0

Documentation de la Skill

GitHub

name: token-efficiency description: >- Cross-platform token audit and optimization for AI coding agents (Cursor, Codex, Claude Code, Hermes, Windsurf, Cline, OpenClaw, Gemini CLI, Aider). Scans always-on context, MCP tools, skills; ranks ROI fixes; installs L0-L3 rules; shrinks large tool outputs. Use for save tokens, token audit, context bloat, MCP prune, reduce API cost, agent efficiency, payload shrink. disable-model-invocation: true

Token Efficiency v0.3.1

Prime directive: Audit before adding rules. Rules are fixed tax too.

Capability promise: Save waste, not intelligence. Guardrails ship with every rule install.

学员 / 讲师

# 讲师打包
python3 scripts/package_release.py   # → dist/token-efficiency-0.3.1.zip

# 学员解压后
bash install.sh
python3 scripts/setup_student.py

文档:docs/学员安装指南.md · docs/能力保障说明.md · docs/架构说明.md

Quick commands

# Install skill globally (once)
bash install.sh
# or: python3 scripts/install_skill.py --write

# Audit + optional ledger
python3 scripts/audit.py --project . --with-ledger

# Fix auto-invoke skills (L0)
python3 scripts/fix_skills.py --list
python3 scripts/fix_skills.py --write --keep skill-a,skill-b

# Compress bloated CLAUDE.md (L0)
python3 scripts/compress.py CLAUDE.md --write

# Shrink large tool output (L2)
python3 scripts/shrink.py build.log --vault -o build.log.shrunk

# Before/after savings report
python3 scripts/perf.py --save-baseline
python3 scripts/perf.py --compare-baseline

# Install rules to project
python3 scripts/install.py --write --agents cursor,claude-code,hermes,openclaw,codex --levers 1,2,3

Windows: replace python3 with python or py -3.

Workflow

  1. AUDIT — scripts/audit.py → fixed tax + duplicates + ROI fixes
  2. FIX L0 — MCP prune, skill on-demand, compress, dedup
  3. FIX L1/L2/L3 — scripts/install.py → behavior + payload + output + capability guardrails
  4. VERIFY — scripts/perf.py --compare-baseline or re-run audit

Six layers

LLayerFix tool
L0Fixed taxaudit, compress, MCP edit
L1Turn multiplierinstall lever 1
L2Context inflationinstall lever 2 + shrink.py (+ vault restore)
L3Output wasteinstall lever 3
L4Session bloatnew chat / Ask mode — see context-design
L5Model mismatchuser picks tier — see context-design

Details: taxonomy.md

Supported agents

cursor · claude-code · codex · hermes · openclaw · windsurf · cline · aider · continue · gemini · generic

Matrix: references/agent-matrix.md

References

Agent execution rules (when this skill is active)

  • Run audit before proposing new always-on rules
  • Present top 3 ROI fixes with layer tags
  • One lever at a time unless user asks batch
  • Never let efficiency block correct task completion — see capability-guardrails.md
  • Use shrink.py with --vault for tool output > ~4K est. tokens; restore if detail missing
  • Honor user overrides: 详细解释 / explore freely / run tests / 看完整日志
  • Never claim exact dollar savings without user's pricing data
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