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效率与协作 · SKILL.md

agent-expenditure

agent-expenditure

【效率与协作】Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.

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技能说明

GitHub

name: agent-expenditure role: entrypoint description: Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run. alwaysApply: false category: resource-optimization tags:

  • token-waste
  • agent-coordination
  • brooks-law
  • parallel-dispatch progressive_loading: true dependencies: hub: [] modules:
    • modules/waste-signals.md complexity: basic model_hint: fast estimated_tokens: 300

Agent Token Waste Monitoring

When To Use

  • After parallel agent dispatch completes
  • When evaluating whether to increase agent count
  • During retrospectives on agent-heavy workflows
  • When plan-before-large-dispatch rule triggers

When NOT To Use

  • Single-agent workflows (no coordination overhead)
  • During active agent execution (post-hoc analysis)
  • For token budgeting (use token-conservation instead)

Brooks's Law for Agents

Dispatching more agents does not always help. Coordination overhead grows with agent count:

Agent CountExpected OverheadGuidance
1-3NegligibleDispatch freely
4-510-15%Acceptable; plan first
6-820-30%Monitor closely
9+30%+Likely counterproductive

Coordination overhead is measured as shared-file conflicts: concurrent Read/Write operations on the same file by different agents, as a percentage of total agent runtime.

Post-Dispatch Review Checklist

After parallel agent runs, evaluate:

  1. Did each agent produce unique findings?
  2. Was total token expenditure proportional to value?
  3. Did any agent duplicate another's work?
  4. Would fewer agents have produced the same result?

If 2+ questions answer no, reduce agent count in future dispatches of the same type.

Waste Signals

See modules/waste-signals.md for the 5 waste signal categories and detection criteria.

Cross-References

  • Dispatching 4 or more agents needs an agreed plan first: the roster, each agent's scope, and the output contract it returns. 1-3 agents may dispatch directly.
  • conserve:token-conservation for session-level token budgeting
  • conjure:agent-teams for dispatch coordination

Exit Criteria

  • All 4 post-dispatch review questions answered with explicit yes/no per agent (unique findings, proportional expenditure, no duplication, fewer agents sufficient)
  • Waste signals from modules/waste-signals.md checked against the completed run; any triggered signal named with the category
  • A recommendation is produced: either "reduce agent count to N" or "dispatch was efficient" with coordination overhead percentage
  • If 2+ review questions answer no, a concrete agent-count reduction is stated for future dispatches of the same type
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