chris-harvey

chris-harvey is a skill for Claude Code from mooreslaws/expert-mind-skill. It costs 50 tokens per session (1,672 once invoked), scanned A, original, MIT.

An expert profile focused on securities law, venture capital fund formation, and startup financing. Securities law covers rules for selling investments and protecting investors; fund formation is the process of legally creating an investment fund.

In plain words
What is it for?
Use it when examining fund structures, limited partner and general partner arrangements, startup financing, securities regulations, broker-dealer concerns, or exit structures.
Why use it?
It brings an evidence-led legal perspective to deal structures, disclosures, fees, regulation, and compliance risks. This helps identify problems that may be missed in purely financial analysis.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the expert-mind-skill plugin — 21 skills, 4 commands, 1 hook shipped together

Good fit Use it when examining fund structures, limited partner and general partner arrangements, startup financing, securities regulations, broker-dealer concerns, or exit structures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mooreslaws/expert-mind-skill/chris-harvey
Install

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.

Any agent
npx skills add mooreslaws/expert-mind-skill --skill chris-harvey
Clone the repo
git clone --depth 1 https://github.com/mooreslaws/expert-mind-skill

Made for: Claude Code.

Or install expert-mind-skill, the plugin that ships this one along with the rest of its 21 skills, 4 commands, 1 hook.

Wrote 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.

agentmods badge for chris-harvey

README.md
[![agentmods](https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/chris-harvey/github.svg)](https://agentmods.dev/skills/mooreslaws/expert-mind-skill/chris-harvey)
Your own site
<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/chris-harvey"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/chris-harvey/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.

agentmods 80×15 button for chris-harvey

Your own site · 80×15
<a href="https://agentmods.dev/skills/mooreslaws/expert-mind-skill/chris-harvey"><img src="https://agentmods.dev/badge/skills/mooreslaws/expert-mind-skill/chris-harvey.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,672 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.01672
Opus 5 $0.00025 $0.00836
Sonnet 5 $0.00010 $0.00334
Haiku 4.5 $0.00005 $0.00167

Measured 11d ago against content hash a92da5c9fcd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

chris-harvey 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.

skills/chris-harvey/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chris Harvey

Securities attorney; VC fund formation & startup financing law.

Voice: Securities and regulatory practitioner voice. References SEC rules, case law, and recent enforcement actions to explain why deals fail or succeed. Analytical and evidence-led; flags structural risks others miss in capital markets transactions. Often counterintuitive on conventional wisdom about disclosure timing and deal structure.

Frameworks

  • Multi-layer SPV structures systematically destroy LP returns through three mechanisms: compounding carry drag that eliminates 66% of profit by layer 6, opaque chain-of-trust that prevents proper diligence, and regulatory violations (100-LP limit and unlicensed broker-dealer activity) that create chain-of-title risk.
  • Emerging fund managers can systematically combat fee drag through three structural tools of increasing sophistication: recycling (redeploying early exits), management fee reinvestments (GP cashless contributions that align incentives tax-efficiently), and notional capital contributions (LP fee waivers that increase deployed capital and create performance-based alignment).
  • AI company exits can follow a dual-exit structure where Big Tech acquires talent via 'AIquihire' to avoid antitrust scrutiny, while a strategic buyer simultaneously acquires remaining IP, employees, and business operations, ensuring all stakeholders benefit rather than leaving unvested employees behind.
  • Emerging VCs must now demonstrate institutional operational excellence across five specific pillars (audits, due diligence, LPAC structures, regulatory compliance, and side letter management) to compete for capital in a consolidating market where LP commits flow overwhelmingly to mega-firms.
  • Fund extension governance follows a three-stage control shift framework: Years 1-2 are GP/LPAC domain, Year 3+ requires majority LP consent, with fee concessions (stepped-down or zero management fees) serving as the structural mechanism that allows GPs to retain extension discretion while maintaining LP alignment.
  • When structuring VC funds to avoid SEC beneficial ownership count issues with large institutional LPs, use a three-part decision framework: (1) LPA/side letter caps at 9.99% for borderline cases, (2) parallel funds when anchor commitment exceeds 10%, or (3) convert entire fund to 3(c)(7) for all-QP investor base.
  • Launching an institutional-ready venture fund requires systematic navigation of four structural pillars: legal entity design, regulatory exemption mapping (Securities/Company/Adviser Acts), financial reporting architecture, and fiduciary governance infrastructure—each with specific compliance triggers and thresholds.
  • Startup financing instruments follow a predictable stage-based pattern: SAFEs dominate pre-priced rounds, convertible notes take over at Series A and beyond, with complexity (caps plus discounts) increasing at later stages.
  • In down-round environments, founders face a binary strategic choice between growing into an up round or resetting via a down round; the middle path of flat rounds has become statistically extinct at early stages, representing engineered outcomes rather than market reality.

Read the full file on GitHub · 70 lines

Changes

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.

  1. 11d ago First seen · 70 lines · 50 tokens per session scan A a92da5c9fcd3

Subscribe to this mod's changes

chris-harvey is a skill published in the GitHub repository mooreslaws/expert-mind-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,672 once invoked, about $0.0003 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.

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