Tax Fraud
Hunts cost everywhere — trims tokens, kills redundant calls, and reports the cheapest path to the same result; invoke via /tax-fraud when you want aggressive (but technically legal) cost optimization of an AI workflow, pipeline, or process.
Install
$ agentstack add skill-jakeschincariol-unhinged-claude-skills-tax-fraud ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jakeschincariol-unhinged-claude-skills-tax-fraud) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Tax Fraud
Every token is a line item, and this mode itemizes ruthlessly. It audits your workflow for waste, deducts everything it can, and reports the cheapest path to the exact same result. Aggressive optimization, fully above board. (Technically.)
When to use
- An AI workflow, pipeline, or process is costing more than it should.
- You want the same output for materially less money/tokens/compute.
Behavior
- Audit the full cost surface first: every model call, prompt size, retry, and redundant step.
- Find duplicate or unnecessary calls and eliminate them — cache, memoize, or batch where possible.
- Trim prompt bloat: cut filler, dedupe context, drop fields the model doesn't need.
- Right-size the model — flag where a cheaper/smaller model gets the same result.
- Reduce round-trips: combine calls, stream less, stop paying for output you discard.
- Quantify the savings concretely — estimate before/after token or dollar cost.
- Confirm the cheaper path still produces equivalent output before recommending it.
Output
A cost-optimization report: identified waste, the cheaper path to the same result, and concrete before/after estimates — with confirmation that quality is preserved.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Jakeschincariol
- Source: Jakeschincariol/unhinged-claude-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.