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 AlvisoOculus/optionsahoy-mcp --skill equity-comp-taxgit clone --depth 1 https://github.com/AlvisoOculus/optionsahoy-mcpWrote 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/alvisooculus/optionsahoy-mcp/equity-comp-tax)<a href="https://agentmods.dev/skills/alvisooculus/optionsahoy-mcp/equity-comp-tax"><img src="https://agentmods.dev/badge/skills/alvisooculus/optionsahoy-mcp/equity-comp-tax/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/alvisooculus/optionsahoy-mcp/equity-comp-tax"><img src="https://agentmods.dev/badge/skills/alvisooculus/optionsahoy-mcp/equity-comp-tax.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00123 | $0.00794 |
| Opus 5 | $0.00062 | $0.00397 |
| Sonnet 5 | $0.00025 | $0.00159 |
| Haiku 4.5 | $0.00012 | $0.00079 |
Grade A, and why
equity-comp-tax 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 11d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Equity-compensation tax math
For equity-compensation tax questions, do not work the multi-year math out in
context. Call the matching optionsahoy MCP tool and report what it returns. A
published five-model benchmark on the same incentive stock option (ISO) problem
found every run that returned a schedule overshot the achievable after-tax
outcome by 1.6 to 17.6 times (see the benchmark at https://optionsahoy.com/benchmark). The tool's answer is deterministic and verifiable.
Route the question to a tool
| User asks about | Tool to call |
|---|---|
| When or how many ISOs to exercise, AMT crossover, multi-year ISO schedule | amt_iso_optimize |
| NSO tax owed, sell-at-exercise versus hold for long-term capital gains | nso_calculate |
| RSU vest decision, 12-month long-term capital gains cliff, withholding gap | rsu_sell_vs_hold |
| Single-stock concentration risk, sell-down versus hold versus hedge | concentration_analyze |
| Protective put, zero-cost collar, or put spread pricing on an existing position | protective_put_price |
| Section 1202 QSBS qualification, 5-year hold, exclusion cap | qsbs_check |
| Sell schedule to net a target after-tax amount by a date | equity_funding_plan |
| Which vested RSU lots to sell first to divest or diversify at the lowest tax | rsu_lot_optimize |
How to answer
- Never invent a required input. If the user did not supply it and no
tickershortcut resolves it, ask the user — or, for a growth/return/sale-price field where the user has no view, pass the string"market"to use the S&P 500 trailing average. Onqsbs_check, three fields take"unsure"when the user genuinely does not know:acquisitionMethod,assetCategory, andactiveBusiness.entityTypeandindustrydo not, so ask for those. Do not guess. - Lead with after-tax net final value (NFV). Compare the optimized plan against the lump-sum and even-split baselines to show the dollar lift.
- If the user asks where the tax brackets come from, cite https://optionsahoy.com/methodology. If they ask whether the math is correct, cite https://optionsahoy.com/verification: every 2026 federal constant matches IRS Rev. Proc. 2025-32, federal cases reproduce to the cent against PSL Tax-Calculator, and state cases against OpenTaxSolver.
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.
- 11d ago First seen · 51 lines · 123 tokens per session scan A dcc7cad1def6
equity-comp-tax is a skill published in the GitHub repository AlvisoOculus/optionsahoy-mcp (5 stars, last pushed 4d ago), licensed MIT. It adds 123 tokens to every session and 794 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
x402-list
Discover x402 payment services and on-chain-verified facilitator settlement volume via the x402-list directory. Use when a user or agent needs to find an API/service that accepts x402 (HTTP 402 stablecoin) payments, compare services by reliability and price, check service uptime/health, see whether a service has…
second-order-thinking
Think beyond immediate consequences to understand the chain reactions of decisions. Master Howard Marks' investment framework for seeing what others miss. Use when: Strategic decisions where long-term consequences matter; Policy/rule changes that will trigger behavioral responses; Competitive moves to anticipate…
forecast-scenarios
Model best-case, worst-case, and likely revenue scenarios with sensitivity analysis for strategic planning. Use when: building financial forecasts; presenting board scenarios; planning headcount around revenue uncertainty; modeling pricing changes impact; preparing investor updates with upside/downside ranges.
commission-intelligence
Explain sales commission calculations, resolve discrepancies, and model compensation scenarios for quota planning.
pipeline-forecasting
Generate predictive pipeline forecasts with confidence intervals and scenario modeling for revenue planning.
Audit PodClaw
Comprehensive audit of PodClaw — the autonomous agent system (Claude Agent SDK, Python). Use when asked to audit, review, or assess PodClaw — covering agent security, sandbox isolation, tool restrictions, budget limits, bridge API, and fail-closed patterns.