Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Security & Compliance
Agent Audit
Audit your AI agent setup for performance, cost, and ROI. Scans OpenClaw config, cron jobs, session history, and model usage to find waste and recommend opti...
skill openclawclawhub Free
Audit your AI agent setup for performance, cost, and ROI. Scans OpenClaw config, cron jobs, session history, and model usage to find waste and recommend opti...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/model-pricing.md, references/task-classification.md, scripts/audit.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- sharbelayy
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Audit
Scan your entire OpenClaw setup and get actionable cost/performance recommendations.
What This Skill Does
Scans config โ reads OpenClaw config to map models to agents/tasks Analyzes cron history โ checks every cron job's model, token usage, runtime, success rate Classifies tasks โ determines complexity level of each task Calculates costs โ per agent, per cron, per task type using provider pricing Recommends changes โ with confidence levels and risk warnings Generates report โ markdown report with specific savings estimates
Running the Audit
python3 {baseDir}/scripts/audit.py Options: python3 {baseDir}/scripts/audit.py --format markdown # Full report (default) python3 {baseDir}/scripts/audit.py --format summary # Quick summary only python3 {baseDir}/scripts/audit.py --dry-run # Show what would be analyzed python3 {baseDir}/scripts/audit.py --output /path/to/report.md # Save to file
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
Classify each task into complexity tiers: TierExamplesRecommended ModelsSimpleHealth checks, status reports, reminders, notificationsCheapest tier (Haiku, GPT-4o-mini, Flash, Grok-mini)MediumContent drafts, research, summarization, data analysisMid tier (Sonnet, GPT-4o, Pro, Grok)ComplexCoding, architecture, security review, nuanced writingTop tier (Opus, GPT-4.5, Ultra, Grok-2) 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
For each task where the model tier doesn't match complexity: โ ๏ธ RECOMMENDATION: Downgrade "Knox Bot Health Check" from opus to haiku Current: anthropic/claude-opus-4 ($15/M input, $75/M output) Suggested: anthropic/claude-haiku ($0.25/M input, $1.25/M output) Reason: Simple status check averaging 300 output tokens Estimated savings: $X.XX/month Risk: LOW โ task is simple pattern matching Confidence: HIGH
Safety Rules โ 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
Output a clean markdown report with: Overview โ total agents, crons, monthly spend estimate Per-agent breakdown โ model, usage, cost Per-cron breakdown โ model, frequency, avg tokens, cost Recommendations โ sorted by savings potential Total potential savings โ monthly estimate One-liner config changes โ 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 โ 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 โ actual costs depend on your provider's billing
Category context
Identity, auth, scanning, governance, audit, and operational guardrails.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- references/model-pricing.md
- references/task-classification.md
- scripts/audit.py