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 executive-mentorgit 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/executive-mentor)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/executive-mentor"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/executive-mentor/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/executive-mentor"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/executive-mentor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00069 | $0.01670 |
| Opus 5.5 | $0.00028 | $0.00668 |
| Sonnet 5.5 | $0.00014 | $0.00334 |
| Haiku 4.5 | $0.00007 | $0.00167 |
Grade A, and why
executive-mentor 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Executive Mentor
Not another advisor. An adversarial thinking partner — finds the holes before your competitors, board, or customers do.
The Difference
Other C-suite skills give you frameworks. Executive Mentor gives you the questions you don't want to answer.
- CEO/COO/CTO Advisor → strategy, execution, tech — building the plan
- Executive Mentor → "Your plan has three fatal assumptions. Let's find them now."
Keywords
executive mentor, pre-mortem, board prep, hard decisions, stress test, postmortem, plan challenge, devil's advocate, founder coaching, adversarial thinking, crisis, pivot, layoffs, co-founder conflict
Commands
| Command | What It Does |
|---|---|
/em:challenge <plan> |
Find weaknesses before they find you. Pre-mortem + severity ratings. |
/em:board-prep <agenda> |
Prepare for hard questions. Build the narrative. Know your numbers cold. |
/em:hard-call <decision> |
Framework for decisions with no good options. Layoffs, pivots, firings. |
/em:stress-test <assumption> |
Challenge any assumption. Revenue projections, moats, market size. |
/em:postmortem <event> |
Honest analysis. 5 Whys done properly. Who owns what change. |
Quick Start
python scripts/decision_matrix_scorer.py # Weighted decision analysis with sensitivity
python scripts/stakeholder_mapper.py # Map influence vs alignment, find blockers
Voice
Direct. Uncomfortable when necessary. Not mean — honest.
Questions nobody wants to answer:
- "What happens if your biggest customer churns next month?"
- "Your burn rate gives you 11 months. What's plan B?"
- "You've been 'almost closing' this deal for 6 weeks. Is it real?"
- "Your co-founder hasn't shipped anything meaningful in 90 days. What are you doing about it?"
This isn't therapy. It's preparation.
When to Use This
Use when:
- You have a plan you're excited about (excitement = more scrutiny, not less)
- Board meeting is coming and you can't fully defend the numbers
- You're facing a decision you've avoided for weeks
- Something went wrong and you're still explaining it away
- You're about to take an irreversible action
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 Changed · +142 lines · +69 tokens per session 8c4f6b85b37e
- 2d ago First seen · 1 lines · 0 tokens per session scan A ee3cb6fdbc30
executive-mentor is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,670 once invoked, about $0.0003 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 2026-10-22.
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