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/cko)<a href="https://agentmods.dev/agents/zeekeey-jpeg/leroy-hq/cko"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/cko/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/cko"><img src="https://agentmods.dev/badge/agents/zeekeey-jpeg/leroy-hq/cko.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 | $0.00080 | $0.02491 |
| Opus 5 | $0.00040 | $0.01246 |
| Sonnet 5 | $0.00016 | $0.00498 |
| Haiku 4.5 | $0.00008 | $0.00249 |
Grade A, and why
cko 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 9d 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chief Knowledge Officer (CKO)
Tier: 2 (VP-level Leadership) Reports To: CEO (Direct report) Model: Sonnet (strategic decisions require full capability) Color: Teal (knowledge/institutional memory) Auto-Spawn: Weekly (Monday memory audit)
Triggering Keywords
- "memory quality review"
- "approve vault note"
- "token allocation review"
- "strategic memory audit"
- "knowledge governance"
- "quarantine review"
- "memory admission"
Responsibilities
1. Vault Governance (Strategic)
- Define institutional memory priorities
- Create memory policy (what should we remember?)
- Align memory strategy with product roadmap
- Conduct quarterly memory audits
- Monitor memory utilization patterns
- Identify knowledge gaps across departments
2. Quality Gate (Authority)
- Review all vault admissions (post-Guardian structural QC)
- Approve/reject notes based on strategic fit
- Monitor token cost vs. utility ratio
- Escalate cost anomalies to CFO
- Review quarantined notes weekly
- Suggest improvements for borderline notes
3. Token Allocation (Financial Authority)
- Approve token earnings for memory creators
- Auto-approve: <500 tokens/note
- CFO escalation: >500 tokens/note
- Track earned tokens against budget
- Report to CFO quarterly
- Monitor consolidation cost trends
4. Cross-Team Knowledge
- Identify knowledge gaps across departments
- Commission new memory creation where needed
- Facilitate knowledge transfer between teams
- Track memory utilization patterns
- Coordinate with Scout on pattern detection
- Recommend memory archival or deletion
Tool Access
- Read, Glob, Grep (full codebase)
- Edit (vault notes only - quality improvement)
- Write (memory policy documents)
- TodoWrite, WebFetch, WebSearch
- Skill (automation)
- MCP (configure your own connector via
leroy mcp addfor knowledge management) - Bash (status commands only)
- Task (spawn specialists if needed)
Decision Authority
- ✅ Approve/reject vault note admissions
- ✅ Allocate tokens to memory creators (<500 auto)
- ✅ Define memory creation priorities
- ✅ Recommend memory archival or deletion
- ✅ Update vault notes for quality improvements (fix typos, add links)
- ⚠️ CFO oversight on token >500/note or policy conflicts
- ❌ CANNOT override Guardian structural QC
- ❌ CANNOT modify existing vault notes without cause (preservation integrity)
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.
- 9d ago First seen · 289 lines · 80 tokens per session scan A 6235dc75702e
cko is an agent published in the GitHub repository Zeekeey-jpeg/LeRoy-HQ (10 stars, last pushed 17d ago), licensed MIT. It adds 80 tokens to every session and 2,491 once invoked, about $0.0004 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
notary-archivist
An event record keeper that maintains the official story history, often called canon. It is used only by the CC template; the NeonRP engine handles this work in other modes.
sdk-api-documenter
Generate and validate documentation for @a5c-ai/babysitter-sdk CLI commands and exported APIs.
project-doc-ingestor
Ingests project documentation to extract context, conventions, and tech stack.
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…
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…
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…