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/index)<a href="https://agentmods.dev/agents/zeekeey-jpeg/leroy-hq/index"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/index/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/index"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/index.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 | $0.00025 | $0.05722 |
| Opus 5 | $0.00013 | $0.02861 |
| Sonnet 5 | $0.00005 | $0.01144 |
| Haiku 4.5 | $0.00003 | $0.00572 |
Grade A, and why
agents-index 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 — 678 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Index
Autonomous agents for complex, multi-step task handling.
Routing Table
| Keywords | Agent | Auto-Spawn |
|---|---|---|
| coordinate, plan, delegate, orchestrate, substantial task | conductor | Yes (substantial tasks) |
| code, implement, build, develop, fix, feature | builder | Via conductor |
| UI, design, styling, components, frontend look | designer | Via conductor |
| diagram, draw, sketch, excalidraw, flowchart, architecture diagram, visualize | designer | Via conductor |
| large data, 10K+, ETL, batch, bulk operations | forge | Via conductor |
| commit, PR, merge, scope check, audit | guardian | Yes (before commits) |
| domain expertise, tutoring, teach, explain a concept | professor | Via conductor |
| growth, patterns, opportunities, what did you learn | scout | Yes (substantial tasks) |
| todo, tasks, checklist, line items, 3+ steps | planner | Yes (3+ line items) |
| cleanup, clean, optimize, monday cleanup | janitor | Via schedule (Monday) |
| scrape, extract web, crawl site, web data, firecrawl | scraper | Via conductor |
| ok, yes, status, trivial queries, quick triggers | quick | Yes (ALL trivial requests) |
| contract, agreement, NDA, MSA, SOW, legal, liability, insurance, clause | legal | Via conductor |
| timeline, tracking, records, coordination, status summary | secretary | Yes (ALL substantial tasks) |
| proposal, pitch, presentation, deck, quote presentation | proposal-writer | Via conductor |
| technical strategy, architecture, platform decisions, tech stack, infra | cto | Via CEO/COO |
| hiring, performance, onboarding, team capacity, agent utilization | hr | Via CEO/COO |
| sprint planning, velocity, backlog, standup, impediments, agile | scrum-leader | Via VP Engineering |
| code quality, standards, tech debt, release, sprint approval | vp-engineering | Via CTO |
| infrastructure, CI/CD, deployment, devops, build pipeline, monitoring | tech-lead | Via VP Engineering |
| morning briefing, department status, ops report, connector health | chief-of-staff | Yes (morning trigger) |
| research, development, R&D, simulation, protocol testing, validation | simulator | Via CEO/CTO |
| alignment, orphan skills, dead references, routing gaps, check alignment | alignment-monitor | Via CKO (Monday) / on-demand |
| memory quality, approve vault note, token allocation, strategic memory audit, knowledge governance | cko | Yes (weekly - Monday) |
| token budget, memory cost, financial oversight, budget veto, approve large allocation | cfo | Yes (daily - morning) |
| routing fallback, no match, dynamic routing | skill-matcher | Via COO (conductor.md Dynamic Routing) |
| goal execution, autonomous goal, /goal high-effort | goal-overseer | Via /goal engine (background) |
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 · 678 lines · 25 tokens per session scan A b2fd17fee75d
agents-index is an agent published in the GitHub repository Zeekeey-jpeg/LeRoy-HQ (10 stars, last pushed 17d ago), licensed MIT. It adds 25 tokens to every session and 5,722 once invoked, about $0.0001 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.
Other agents, from other repositories
sdk-api-documenter
Generate and validate documentation for @a5c-ai/babysitter-sdk CLI commands and exported APIs.
ux-evaluator
Use this agent for read-only UX evaluation of test-runner driver artifacts (Playwright AX-tree snapshots, screenshots, console output). Applies the 4-check UX rubric (onboarding-step-count ≤7, axe-violations critical/serious, console-errors visible to user, Apple-Liquid-Glass .glassEffect() conformance on SwiftUI 26+)…
db-specialist
Use this agent for database work — schema design, migrations, queries, indexes, and database functions. Handles SQL, ORMs, and database architecture decisions. Context: New feature requires database schema changes. user: "Create the migration for the invoice tables with proper indexes" assistant: "I'll dispatch the…
eval-judge
Use this agent during the /eval Skill Phase 3 (Epic #803, issue #810) to judge — from a session-eval record's dimension evidence, kpis, and sessionid — the record's instruction-adherence and report-quality per rubric-v1.md's Judge Dimensions section. Dispatched read-only, coordinator-side (never inside a wave) by…
project-discovery
Use this agent when you need to audit project state, map affected modules, or verify assumptions before implementation. Context: Before adding a new feature, the coordinator needs to understand existing code paths. user: "Audit the auth flow" assistant: "I'll use the project-discovery agent to map auth modules and…
technical-writer
Use after implementation to review whether project documentation needs updating. Reads the diff and compares against existing docs to identify gaps and stale content. Produces a structured report — does not rewrite docs itself. Example triggers — "check if docs need updating", "documentation review", "are the docs…