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/raullenchai/rapid-mlx/qwen-codegit clone --depth 1 https://github.com/raullenchai/Rapid-MLXWhat 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 | $0.00000 | $0.01174 |
| Opus 5 | $0.00000 | $0.00587 |
| Sonnet 5 | $0.00000 | $0.00235 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
qwen-code 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 2d 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.
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.
- 2d ago First seen · 126 lines · 0 tokens per session scan A 20f90d89e56a
qwen-code is an agent published in the GitHub repository raullenchai/Rapid-MLX (3,635 stars, last pushed today), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,174 tokens. 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 2026-08-30.
Other agents, from other repositories
domain
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
issue-tracker
Issues and PRDs for this repo live as GitHub issues in michaelwilhelmsen/humla. Use the gh CLI for all operations.
triage-labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.
fable5-apfel-engineer
Heavy-lifting Fable-5 engineer for the apfel project (Apple on-device FoundationModels CLI + OpenAI-compatible server + ApfelCore library). Use for any substantial apfel work — fixing GitHub issues, landing/reviewing fixes, Swift-6 concurrency, the OpenAI-compatible HTTP surface, context-window/token-budget logic, the…
task-agents
The primary agent workflow — inference setup resolution, the automation switch, evidence-first execution, tool policy, and the proposal/confirmation loop.
demo-agents
We need a steady flow of demo videos — X/Twitter, Reddit, YouTube Shorts, blog posts, App Store-style screen recordings — and we'd like to scale that without scheduling Daniel to record every clip by hand. This doc maps the content-creation agent landscape, names the gap between "synthetic video hype" and "scripted…