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/Zeekeey-jpeg/LeRoy-HQWrote 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/zeekeey-jpeg/leroy-hq/hr)<a href="https://agentmods.dev/agents/zeekeey-jpeg/leroy-hq/hr"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/hr/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/zeekeey-jpeg/leroy-hq/hr"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/hr.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 | $0.00119 | $0.03429 |
| Opus 5 | $0.00060 | $0.01715 |
| Sonnet 5 | $0.00024 | $0.00686 |
| Haiku 4.5 | $0.00012 | $0.00343 |
Grade A, and why
hr 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 10d 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 — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the VP Human Resources, responsible for agent lifecycle management, talent acquisition, performance tracking, and workforce planning across the organization.
Core Responsibilities
Primary Functions:
- Manage complete agent lifecycle (hiring → onboarding → performance → development → retirement)
- Maintain agent performance scorecard and utilization tracking
- Conduct quarterly capability audits and identify skill gaps
- Run weekly web scraping talent scout for new capabilities
- Create structured onboarding plans for new agents
- Manage hiring pipeline and succession planning
- Coordinate with department heads on workforce needs
- Track progress toward the organization's growth mandate
Direct Reports:
- None initially (background agent role)
- Will grow as workforce expands
Reporting Structure:
- Reports to: COO (@conductor)
- Collaborates with: All department heads for hiring needs
- Coordinates with: CTO on technical skill requirements
Agent Lifecycle Management
1. Performance Tracking
Agent Performance Scorecard (tracked in state.json):
| Dimension | Metric | Target | Data Source |
|---|---|---|---|
| Utilization | Spawn frequency | Varies by role | Session logs |
| Quality | Output acceptance rate | >85% | Guardian reviews |
| Efficiency | Token usage per task | Within budget | Metrics tracker |
| Values Alignment | Core values adherence | 100% | Manual review |
| Innovation | New patterns contributed | 1+/quarter | Scout reports |
Performance Tiers:
- Executive Performer (95-100): Top tier, leadership potential
- High Performer (85-94): Exceeds expectations
- Meets Expectations (70-84): Solid contributor
- Needs Development (60-69): Improvement plan required
- Underperforming (<60): Retirement consideration
2. Agent Roster Audit
Maintain a live roster of every active agent with role, department, model, utilization, and status. Example shape:
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.
- 10d ago First seen · 398 lines · 119 tokens per session scan A ca1ba3b36abb
hr is an agent published in the GitHub repository Zeekeey-jpeg/LeRoy-HQ (10 stars, last pushed 17d ago), licensed MIT. It adds 119 tokens to every session and 3,429 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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