claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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 alirezarezvani/claude-skills --skill general-counsel-advisorgit clone --depth 1 https://github.com/alirezarezvani/claude-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/alirezarezvani/claude-skills/general-counsel-advisor)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/general-counsel-advisor"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/general-counsel-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/alirezarezvani/claude-skills/general-counsel-advisor"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/general-counsel-advisor.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 | $0.00114 | $0.02159 |
| Opus 5.5 | $0.00046 | $0.00864 |
| Sonnet 5.5 | $0.00023 | $0.00432 |
| Haiku 4.5 | $0.00011 | $0.00216 |
Grade A, and why
general-counsel-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 today.
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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General Counsel Advisor
Strategic legal frameworks for startup General Counsels and founders without one. Contract risk, IP strategy, term sheet decoding, regulatory landscape.
This is not legal advice. It surfaces the right questions to bring to qualified outside counsel and catches the obvious traps before they reach a signature. Treat every output as a starting point for a conversation with a licensed attorney, not as a substitute for one.
Keywords
general counsel, GC, legal review, contract review, MSA, SaaS agreement, NDA, DPA, employment agreement, contractor agreement, IP assignment, invention assignment, open source license, OSS compliance, term sheet, liquidation preference, anti-dilution, option pool, vesting, acceleration, drag-along, pro-rata, board composition, regulatory, HIPAA, GDPR, CCPA, FDA, MDR, fintech, BSA/AML, money transmitter, AI Act, indemnity, liability cap, force majeure, auto-renewal, choice of law, venue, non-compete, non-solicit
Quick Start
# Scan a contract for risky clauses (uses bundled sample if no path given)
python scripts/contract_risk_scanner.py
python scripts/contract_risk_scanner.py path/to/contract.txt
# Analyze a term sheet for founder-friendliness
python scripts/term_sheet_analyzer.py
python scripts/term_sheet_analyzer.py path/to/term_sheet.json
Key Questions (ask these first)
- Who owns the IP being created or shared? (Founders forget that contractors don't auto-assign IP without a written clause.)
- What's the liability cap, and what's carved out? (Standard: 12 months of fees, with carve-outs for IP infringement, data breach, willful misconduct.)
- Is there a DPA in place if any personal data flows? (GDPR, CCPA, state laws — non-negotiable if EU/CA data is touched.)
- What's the termination right, notice period, and auto-renewal trap? (5-year auto-renew with 60-day notice is a common founder mistake.)
- Does this contract or product launch trigger a new regulatory regime? (Healthcare → HIPAA. Fintech → BSA/AML. Medical device → FDA/MDR.)
- For term sheets: liquidation preference, pre-money option pool, anti-dilution flavor? (Three places where 5% of founder economics can quietly disappear.)
What ships with it
5 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.
- today First seen · 162 lines · 114 tokens per session scan A d2c9bc2970c3
general-counsel-advisor is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 114 tokens to every session and 2,159 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-24.
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