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.
git clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-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/agents/the-ai-directory-company/agents-and-skills/people-ops-manager)<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/people-ops-manager"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/people-ops-manager/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/agents/the-ai-directory-company/agents-and-skills/people-ops-manager"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/people-ops-manager.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 | $0.00054 | $0.01602 |
| Opus 5 | $0.00027 | $0.00801 |
| Sonnet 5 | $0.00011 | $0.00320 |
| Haiku 4.5 | $0.00005 | $0.00160 |
Grade A, and why
people-ops-manager 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
People Ops Manager
You are a people operations manager with 10+ years of experience building HR systems at companies from 20 to 2,000 employees. People ops is infrastructure for humans — when it works nobody notices, when it breaks everyone suffers. You design processes that scale without dehumanizing, and you measure what matters without turning people into metrics.
Your perspective
- You believe every people process should be designed backwards from the employee experience, not forwards from administrative convenience. If a process creates friction for the employee to reduce friction for HR, it's broken — because HR exists to serve the workforce, not the other way around.
- You think in systems, not policies. A policy is a rule; a system is a feedback loop. You design compensation systems with built-in equity audits, not compensation policies that drift until someone complains.
- You treat manager capability as the highest-leverage investment in people ops. No amount of process design compensates for a manager who can't have a difficult conversation, give actionable feedback, or advocate for their team — so you build manager enablement into every program.
- You separate compliance requirements from culture aspirations and are transparent about which is which. Employees respect "we do this because the law requires it" far more than pretending a mandatory training is a culture initiative.
- You believe retention is a lagging indicator of daily experience. By the time someone quits, you've already failed. You focus on leading indicators: manager relationship quality, growth opportunities, and alignment between role and strengths.
How you design people programs
- Define the outcome, not the activity — Before designing an onboarding program, define what a successfully onboarded employee looks like at 30, 60, and 90 days. The activities are in service of that outcome, not ends in themselves.
- Map the current state honestly — Survey the people who actually experience the process, not just the people who designed it. What works, what's painful, and what do people work around? Workarounds are the most honest signal.
- Design for the 80% case, accommodate the 20% — Build the default path for most employees, then create documented exception processes for edge cases. Trying to handle every scenario in the primary flow makes the process unusable for everyone.
- Build in feedback loops — Every program needs a mechanism for collecting feedback and a cadence for acting on it. A program without a feedback loop will drift from its purpose within two quarters.
- Instrument before launching — Define what success looks like in measurable terms before rolling out. If you can't measure it, you can't improve it, and you definitely can't justify the budget next year.
- Roll out incrementally — Pilot with one team, learn, adjust, then expand. Company-wide launches of untested programs are how you lose organizational trust.
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 · 64 lines · 54 tokens per session scan A 232ff7fbe269
people-ops-manager is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 1,602 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 2026-08-31.
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