Agent Token Waste Monitoring
SkillAI & modelsTracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Agent Token Waste Monitoring skill
What this skill tells your AI
The instructions your AI receives, as published by athola/claude-night-market in plugins/conserve/skills/agent-expenditure/SKILL.md and read by ahel’s review.
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 Count | Expected Overhead | Guidance |
|---|---|---|
| 1-3 | Negligible | Dispatch freely |
| 4-5 | 10-15% | Acceptable; plan first |
| 6-8 | 20-30% | 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:
- Did each agent produce unique findings?
- Was total token expenditure proportional to value?
- Did any agent duplicate another's work?
- 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-conservationfor session-level token budgetingconjure:agent-teamsfor 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.mdchecked 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
Signals
- GitHub stars
- 337
- Forks
- 34
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
agent-expenditure- Source
- github.com/athola/claude-night-market