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 VincentChuWaiChow/vanguard-frontier-agentic --skill equity-compensation-advisorgit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote 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/vincentchuwaichow/vanguard-frontier-agentic/equity-compensation-advisor)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/equity-compensation-advisor"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/equity-compensation-advisor/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/vincentchuwaichow/vanguard-frontier-agentic/equity-compensation-advisor"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/equity-compensation-advisor.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 | $0.00039 | $0.02925 |
| Opus 5 | $0.00019 | $0.01463 |
| Sonnet 5 | $0.00008 | $0.00585 |
| Haiku 4.5 | $0.00004 | $0.00293 |
Grade A, and why
equity-compensation-advisor 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Equity Compensation Advisor — Reference Skill
Purpose
Provide the complete multi-jurisdiction framework for equity-based compensation advisory — from award classification and fair value measurement through vesting and expense recognition, modification accounting, tax effects, and country-specific rules.
Part 1: Award Classification — ASC 718 / IFRS 2
Equity-Classified vs. Liability-Classified Awards
| Criterion | Equity-Classified | Liability-Classified |
|---|---|---|
| Settlement | Fixed number of shares | Cash or variable number of shares |
| Cash settlement feature | Absent | Present (e.g., SARs settled in cash) |
| Indexed to own equity | Yes — no cash alternative | No — or indexed to something other than own shares |
| Key standard | ASC 718-10-25-5 / IFRS 2.8 | ASC 718-10-25-6 / IFRS 2.34 |
Liability-classified awards must be remeasured at fair value each reporting date until settlement. The cumulative mark-to-market is recognised in P&L.
Modification from equity to liability (e.g., adding a cash settlement feature): Re-measure the award at modification date fair value; any excess over grant-date fair value is recognised immediately if the modification increases fair value, or is deferred if it does not.
Employee vs. Non-Employee Awards
| Treatment | US GAAP | IFRS 2 |
|---|---|---|
| Employee (and similar service providers) | ASC 718-10 — measure at grant date fair value | IFRS 2.10 — measure at grant date fair value of equity instrument |
| Non-employee (post-ASU 2018-07) | ASC 718 applied to non-employees; grant date is the date on which performance commitment exists | IFRS 2.12 — measured at fair value of goods/services received; equity FV used only if goods/services FV cannot be estimated |
| Key note | ASU 2018-07 aligned non-employee treatment largely with employee treatment for US GAAP | IFRS 2 non-employee measurement has always been goods/services-first |
Part 2: Stock Options — Fair Value Measurement
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 · 186 lines · 39 tokens per session scan A 5eb95969675b
equity-compensation-advisor is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 2,925 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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