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SKILL verified MIT Self-run

Cost Optimizer

skill-jansenanalytics-claudex-cost-optimizer · by JansenAnalytics

Track and optimize LLM token spend: estimate costs per task, recommend model tiers, monitor cumulative usage, suggest batching strategies.

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Install

$ agentstack add skill-jansenanalytics-claudex-cost-optimizer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

cost-optimizer

Track and optimize LLM token spend: estimate costs per task, recommend model tiers, monitor cumulative usage, suggest batching strategies.

Use When

  • Analyzing API costs for a project or session
  • Choosing between model tiers (opus vs sonnet vs haiku)
  • Estimating token budgets for upcoming work
  • Reducing unnecessary token usage
  • Reviewing cumulative spend

Scripts

token-counter.py

Count tokens in text input (stdin or file). Uses tiktoken-compatible estimation.

echo "Hello world" | python3 scripts/token-counter.py
python3 scripts/token-counter.py < myfile.txt
python3 scripts/token-counter.py --file myfile.txt

cost-estimator.py

Map token counts to USD costs for various models.

python3 scripts/cost-estimator.py --input 1000 --output 500 --model claude-opus-4
python3 scripts/cost-estimator.py --input 1000 --output 500  # shows all models

usage-analyzer.sh

Analyze OpenClaw usage logs to find spending patterns.

bash scripts/usage-analyzer.sh [--days 7] [--log-dir ~/.openclaw/logs]

References

  • references/model-pricing.md — Current pricing for major LLM providers
  • references/token-heuristics.md — Rules of thumb for estimating tokens
  • references/cost-reduction.md — Strategies to reduce token spend

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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