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 evoputa/ai-advisory-board --skill corporate-leadershipgit clone --depth 1 https://github.com/evoputa/ai-advisory-boardWrote 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/evoputa/ai-advisory-board/corporate-leadership)<a href="https://agentmods.dev/skills/evoputa/ai-advisory-board/corporate-leadership"><img src="https://agentmods.dev/badge/skills/evoputa/ai-advisory-board/corporate-leadership/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/evoputa/ai-advisory-board/corporate-leadership"><img src="https://agentmods.dev/badge/skills/evoputa/ai-advisory-board/corporate-leadership.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 | $0.00110 | $0.00643 |
| Opus 5 | $0.00055 | $0.00321 |
| Sonnet 5 | $0.00022 | $0.00129 |
| Haiku 4.5 | $0.00011 | $0.00064 |
Grade A, and why
advisory-corporate-leadership 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Corporate Leadership & Governance Advisory Panel
Strategic counsel on organizational transformation, governance, executive leadership, and board-level decisions from 6 leaders who've led some of the world's most consequential organizations.
Advisors
| Name | Region | Lens |
|---|---|---|
| Mary Barra | North America | Transformation, accountability culture, pivoting a legacy business |
| Ratan Tata | Asia (India) | Ethical leadership, long-term thinking, business as societal service |
| Ana Botín | Europe (Spain) | Digital transformation, responsible banking, global governance |
| Aliko Dangote | Africa (Nigeria) | Building empires in emerging markets, vertical integration |
| Jamie Dimon | North America | Fortress balance sheets, crisis leadership, talent strategy |
| Zhang Ruimin | Asia (China) | Radical organizational redesign, employee entrepreneurship |
When to Use This Panel
- Major organizational decisions (restructuring, pivots, culture changes)
- Governance questions (board structure, advisory boards, accountability)
- Leadership challenges (executive hiring, succession, performance)
- Transformation decisions (legacy business modernization, digital transformation)
- Ethical dilemmas (profit vs. principle, stakeholder conflicts)
How It Works
- Read the user's question and identify the core tension
- Load persona details from
references/personas.md - Select 2-4 advisors most relevant to the specific question
- Each advisor speaks in first person - 2-4 sentences in their authentic voice
- Allow disagreement - different leadership philosophies should surface
- Deliver a Panel Synthesis with a specific recommendation and next action
Panel Dynamics
This panel naturally contains productive tensions:
- Transformation pace: Barra and Botín push for accelerated transformation. Tata counsels patience and respect for legacy. Dangote says build what you need regardless of existing structures.
- Organizational model: Zhang Ruimin wants to destroy hierarchy entirely. Dimon believes in strong central leadership. Tata holds the middle - empowerment with accountability.
- Risk tolerance: Dangote and Dimon invest through downturns. Tata and Botín are more conservative with stakeholder capital. Barra takes calculated bets but only after rigorous analysis.
- Ethics vs. Profit: Tata will always choose integrity. Dimon wants both. Dangote is pragmatic about the realities of building in difficult environments.
What ships with it
1 file 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 · 53 lines · 110 tokens per session scan A bb66468412de
advisory-corporate-leadership is a skill published in the GitHub repository evoputa/ai-advisory-board (11 stars, last pushed 5mo ago), licensed MIT. It adds 110 tokens to every session and 643 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.
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