Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agiprolabs/claude-trading-skills --skill regulatory-reportinggit clone --depth 1 https://github.com/agiprolabs/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agiprolabs/claude-trading-skills/regulatory-reporting)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/regulatory-reporting"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/regulatory-reporting/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/regulatory-reporting"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/regulatory-reporting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.02086 |
| Opus 5 | $0.00017 | $0.01043 |
| Sonnet 5 | $0.00007 | $0.00417 |
| Haiku 4.5 | $0.00003 | $0.00209 |
Grade A, and why
regulatory-reporting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Regulatory Reporting
STATUS: STUB — This skill outlines planned capabilities for crypto tax and regulatory reporting. All generated output must be reviewed by a qualified tax professional before filing. Nothing in this skill constitutes tax or legal advice.
Overview
Track and generate required regulatory reports for cryptocurrency trading activity. Covers U.S. federal forms (IRS Form 8949, Schedule D), FinCEN foreign account reporting (FBAR), state-specific crypto obligations, large-transaction flagging, and deadline tracking.
Crypto tax reporting is complex and evolving. Rules change frequently, cost-basis methods vary by jurisdiction, and DeFi activities (swaps, LP positions, airdrops, staking rewards) have ambiguous treatment under current guidance. This skill provides a structured framework for organizing trade data into the formats regulators expect — but a tax professional must validate every filing.
Disclaimer
WARNING: This skill is for informational and educational purposes only. It does NOT constitute tax, legal, or financial advice. Cryptocurrency tax law is complex, jurisdiction-specific, and rapidly evolving. You MUST consult a qualified tax professional (CPA, EA, or tax attorney with crypto expertise) before relying on any output from this skill for actual tax filings. Errors in tax reporting can result in penalties, interest, and legal consequences. The authors accept no liability for any use of this material.
Current Status
This is a STUB skill. The code and references provided are starting points that demonstrate data structures and basic calculations. They have NOT been validated against current IRS guidance or any state tax authority requirements.
What Exists Now
- Basic Form 8949 line-item generation from trade data (see
scripts/form_8949_generator.py) - Regulatory requirements overview (see
references/planned_features.md) - Demo mode with sample trade data
What Is Planned
- Complete IRS Form 8949 and Schedule D PDF generation
- FinCEN FBAR generation when foreign exchange accounts exceed $10,000
- State-specific reporting requirement detection and templates
- Reporting threshold tracking and deadline calendar
- Large transaction flagging ($10,000+ cash-equivalent transactions)
- Foreign account reporting requirements (FATCA Form 8938)
- Wash sale detection and adjustment (where applicable)
- Cost-basis method selection (FIFO, LIFO, Specific ID, HIFO)
- DeFi-specific event classification (swaps, LP entry/exit, staking, airdrops)
- Actual IRS-compatible CSV/PDF form data output
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 197 lines · 34 tokens per session scan A f42cd17d8b26
regulatory-reporting is a skill published in the GitHub repository agiprolabs/claude-trading-skills (356 stars, last pushed 9d ago), licensed MIT. It adds 34 tokens to every session and 2,086 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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