token-efficiency · git:20260616.652036b · 2026-06-16 · sha256 83e9847843d82f6d
token-efficiency git:20260616.652036bA
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--- 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 ```bash # 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 ```bash # 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 | L | Layer | Fix tool | |---|-------|----------| | L0 | Fixed tax | audit, compress, MCP edit | | L1 | Turn multiplier | install lever 1 | | L2 | Context inflation | install lever 2 + shrink.py (+ vault restore) | | L3 | Output waste | install lever 3 | | L4 | Session bloat | new chat / Ask mode — see context-design | | L5 | Model mismatch | user picks tier — see context-design | Details: [taxonomy.md](taxonomy.md) ## Supported agents cursor · claude-code · codex · hermes · openclaw · windsurf · cline · aider · continue · gemini · generic Matrix: [references/agent-matrix.md](references/agent-matrix.md) ## References - [capabilities.md](references/capabilities.md) — full feature stack - [platform-notes.md](references/platform-notes.md) — Win/Mac/Linux/WSL - [design-principles.md](references/design-principles.md) — architecture notes ## 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