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 fatihguner/foreman --skill ai-era-leadershipgit clone --depth 1 https://github.com/fatihguner/foremanWrote 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/fatihguner/foreman/ai-era-leadership)<a href="https://agentmods.dev/skills/fatihguner/foreman/ai-era-leadership"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/ai-era-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/fatihguner/foreman/ai-era-leadership"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/ai-era-leadership.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 | $0.00115 | $0.03191 |
| Opus 5 | $0.00057 | $0.01596 |
| Sonnet 5 | $0.00023 | $0.00638 |
| Haiku 4.5 | $0.00012 | $0.00319 |
Grade A, and why
ai-era-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 6d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read runtime and advisory rules before applying this skill. Other Foreman layers and the catalog are in ../../content/, relative to this SKILL.md.
AI-Era Leadership
Five years from now, the leader who cannot distinguish between a decision that requires human judgment and one that can be delegated to a model will be indistinguishable from the leader who, in 2005, refused to use email. Not gone -- but operating at a permanent disadvantage, consuming organisational resources to produce what a well-prompted system generates in seconds.
The paradox of AI-era leadership is that it makes soft skills harder -- and more valuable. As machines absorb the lower and middle tiers of analytical work, the leader's hard skills are progressively eclipsed by smarter systems. What remains irreplaceable is precisely what technology struggles most to simulate: genuine empathy, creative unpredictability, the trust that comes from shared meals and hallway conversations, and the capacity to inspire humans to do what no algorithm would predict. Leadership in the AI age is not radically different from leadership before it. But it demands two recalibrations: an honest reckoning with which of your skills are already obsolete, and an aggressive investment in the ones that cannot be automated.
The Practice
Five Capabilities AI Cannot Copy
1. Interpersonal Intelligence Machines can generate text that reads as empathetic -- "I am sorry my answer upset you" -- but those responses are statistical predictions, not felt experiences. Human beings are wired to respond to genuine emotion. Understanding what others think and feel, and demonstrating that understanding through behaviour, remains a capability that no model replicates at depth. The daily practice: in every significant interaction, pause before responding to identify what the other person is feeling, not just what they are saying.
2. Analog Relationship Building AI connects information it already possesses. It cannot produce knowledge -- the novel insight that emerges from a shared coffee, an accidental hallway encounter, or a conference dinner where two people from different industries discover an unexpected intersection. The daily practice: protect at least two hours per week for unstructured, in-person interaction with colleagues, clients, or peers outside your immediate domain. This is not networking. It is the deliberate cultivation of serendipity.
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.
- 6d ago Changed · +179 lines · +115 tokens per session 6c6adfe07817
- 12d ago First seen · 1 lines · 0 tokens per session scan A 04d5830d2011
ai-era-leadership is a skill published in the GitHub repository fatihguner/foreman (50 stars, last pushed 7d ago), licensed MIT. It adds 115 tokens to every session and 3,191 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 2026-08-30.
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