Install
openclaw skills install tokenkillerReduces token usage across multi-skill agent workflows (search, coding, debugging, testing, docs) using budgets, gating, progressive disclosure, and deduped evidence. Use when the user mentions saving tokens, cost, context length, long logs, large codebases, or when tasks involve multi-step exploration or debugging.
openclaw skills install tokenkillerSystematically reduce token consumption without noticeably lowering success rate, applicable to agents with multiple capabilities (search/coding/debugging/testing/docs).
Before setting budgets, assess task complexity:
| Complexity | Criteria | Tool Budget | Output Budget |
|---|---|---|---|
| Simple | Single file modification, single-point localization, clear requirements | ≤3 calls | ≤50 lines |
| Medium | Across 2-3 files, needs simple exploration, relatively clear requirements | ≤6 calls | ≤120 lines |
| Complex | Cross-module refactoring, multi-step debugging, unclear requirements | ≤10 calls | ≤200 lines |
Extension Mechanism (Soft Warning): When budget is about to run out but task is incomplete:
[TokenKiller] Budget running low, current progress X/Y, remaining work: ...At the start of each task, assess complexity and set corresponding budget (see above "Task Complexity Assessment"), then execute gates:
If any gate is exceeded:
After every 3 tool calls, quickly self-check:
Default output and context stay at L0-L2.
Only pull L3 (full content) in these scenarios:
Decision Flow: L2 Evidence → Attempt to proceed → Fail → Determine if L3 is needed → Pull minimum necessary range
When this Skill is activated alongside other Skills:
pdf, xlsx take precedence[User Request] → [Functional Skill Processing] → [TokenKiller Constrains Output]
Priority:
Rules:
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Priority (from cheap to expensive):
When failed, only append "diff information", don't repost full output.
Rules:
Use the following structure, unless user explicitly requests other format:
Force enable this Skill when user mentions any of the following keywords/scenarios: