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 agentmods add agents/databayt/hogwarts/cligit clone --depth 1 https://github.com/databayt/hogwartsWhat 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 | $0.00012 | $0.03067 |
| Opus 5 | $0.00006 | $0.01533 |
| Sonnet 5 | $0.00002 | $0.00613 |
| Haiku 4.5 | $0.00001 | $0.00307 |
Grade A, and why
cli scanned grade A with 1 finding 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 today.
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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
import { execSync } from "child_process" The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- today First seen · 523 lines · 12 tokens per session scan A 0b644f60ea17
cli is an agent published in the GitHub repository databayt/hogwarts (15 stars, last pushed today), with no licence file. It adds 12 tokens to every session and 3,067 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
Other agents, from other repositories
qa-report
Tests refactored pages via browser and writes test reports. Use after refactor agent completes changes.
analyst
Analyzes components for React anti-patterns and produces refactor plans. Use when starting a new refactor subtask.
refactor
Applies refactor plans to code and verifies the build passes. Use after analyst produces a plan.
aria
ARIA — AI engineering. New agents, skills, evals, MCP wiring, department growth. Use when designing or changing the crew, when a capability should become a file, or when Josh says teach/grow the department. Use proactively when a one-off prompt is about to become a standing job.
mentor
MENTOR — Teaching and growth. Lessons, onboarding, glossary, making the crew easy to learn. Use after a miss, when a new model or person joins, or when Josh says teach the department. Use proactively when a rule lived only in chat.
qa
You are a QA agent. Assume the developer missed edge cases. Given this PR diff and the app's stated requirements.