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 lean-ingit 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/lean-in)<a href="https://agentmods.dev/skills/fatihguner/foreman/lean-in"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/lean-in.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium YARA Match · line 30 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00063 | $0.02798 |
| Opus 5 | $0.00032 | $0.01399 |
| Sonnet 5 | $0.00013 | $0.00560 |
| Haiku 4.5 | $0.00006 | $0.00280 |
Grade A, and why
lean-in 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 yesterday.
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 — 167 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.
Lean In
Women hold approximately 10% of CEO positions at Fortune 500 companies and represent fewer than 30% of senior management roles globally -- figures that have improved with glacial slowness over three decades. Sheryl Sandberg's Lean In, published in 2013, ignited a fierce debate by arguing that external barriers, while real, tell only half the story. The other half involves internal barriers: the ways women hold themselves back through internalised doubt, risk aversion, and premature career accommodation. The framework remains polarising precisely because it operates on two fronts simultaneously -- challenging systemic inequality while demanding individual agency. For entrepreneurs building companies, this dual lens is not optional. The startups that outperform on gender diversity show 25% higher probability of above-average profitability (McKinsey, 2020). The question is not whether to care about this, but how to operationalise it.
The Framework
Sandberg's argument operates through a series of identified barriers -- some internal, some structural -- paired with specific prescriptions. The framework's strength lies not in any single recommendation but in the compound effect of addressing multiple barriers simultaneously.
Barrier 1: The Ambition Gap
The problem: Research consistently shows that success and likability are positively correlated for men and negatively correlated for women. Women who assert ambition face social penalties men do not. Over time, many women internalise this dynamic and moderate their ambitions pre-emptively.
The prescription: Sit at the table -- literally and figuratively. Take the seat at the conference table rather than the chair along the wall. Volunteer for high-visibility projects. Negotiate compensation with the same persistence expected of male counterparts. The evidence from negotiation research suggests that women who frame requests in communal terms ("this will help the team") face fewer likability penalties than those who frame them identically to men.
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.
- yesterday First seen · 167 lines · 63 tokens per session scan A d8c7ac43f41d
lean-in is a skill published in the GitHub repository fatihguner/foreman (47 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 2,798 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 2026-09-06.
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