Agent Audit

Scan your entire OpenClaw setup and get actionable cost/performance recommendations.

What This Skill Does

1. 1. Scans config — reads OpenClaw config to map models to agents/tasks
2. Analyzes cron history — checks every cron job's model, token usage, runtime, success rate
3. Classifies tasks — determines complexity level of each task
4. Calculates costs — per agent, per cron, per task type using provider pricing
5. Recommends changes — with confidence levels and risk warnings
6. Generates report — markdown report with specific savings estimates

Running the Audit

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Options:
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How It Works

Phase 1: Discovery

• - Read OpenClaw config (~/.openclaw/openclaw.json or similar)
• List all cron jobs and their configurations
• List all agents and their default models
• Detect provider (Anthropic, OpenAI, Google, xAI) from model names

Phase 2: History Analysis

• - Pull cron job run history (last 7 days by default)
• Calculate per-job: avg tokens, avg runtime, success rate, model used
• Pull session history where available
• Calculate total token spend by model tier

Phase 3: Task Classification

Classification signals:

• - Simple: Short output (<500 tokens), low thinking requirement, repetitive pattern, status/health tasks
• Medium: Medium output, some reasoning needed, creative but templated, research tasks
• Complex: Long output, multi-step reasoning, code generation, security-critical, tasks that previously failed on weaker models

Phase 4: Recommendations

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Safety Rules — NEVER Recommend Downgrading:

• - Coding/development tasks
• Security reviews or audits
• Tasks that have previously failed on weaker models
• Tasks where the user explicitly chose a higher model
• Complex multi-step reasoning tasks
• Anything the user flagged as critical

Phase 5: Report Generation

1. 1. Overview — total agents, crons, monthly spend estimate
2. Per-agent breakdown — model, usage, cost
3. Per-cron breakdown — model, frequency, avg tokens, cost
4. Recommendations — sorted by savings potential
5. Total potential savings — monthly estimate
6. One-liner config changes — exact model strings to swap

Model Pricing Reference

See references/model-pricing.md for current pricing across all providers.
Update this file when prices change.

Task Classification Details

See references/task-classification.md for detailed heuristics
on how tasks are classified into complexity tiers.

Important Notes

• - This skill is read-only — it never changes your config automatically
• All recommendations include risk levels and confidence scores
• When unsure about a task's complexity, it defaults to keeping the current model
• The audit should be re-run periodically (monthly) as usage patterns change
• Token counts are estimates based on cron history — actual costs depend on your provider's billing