Borrowing it
Nothing to install: this file belongs to crimson-knight/llamero. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/crimson-knight/llamero/main/CLAUDE.mdgit clone --depth 1 https://github.com/crimson-knight/llameroWrote 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/instructions/crimson-knight/llamero/claude-md)<a href="https://agentmods.dev/instructions/crimson-knight/llamero/claude-md"><img src="https://agentmods.dev/badge/instructions/crimson-knight/llamero/claude-md/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/instructions/crimson-knight/llamero/claude-md"><img src="https://agentmods.dev/badge/instructions/crimson-knight/llamero/claude-md.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 | $0.01267 | $0.01267 |
| Opus 5 | $0.00633 | $0.00633 |
| Sonnet 5 | $0.00253 | $0.00253 |
| Haiku 4.5 | $0.00127 | $0.00127 |
Grade A, and why
llamero CLAUDE.md 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
llamero — guide for AI coding agents
llamero is a Crystal library for building AI applications. It has two
independent tracks that share the same Message and BaseGrammar types:
- Cloud providers (
Llamero::Client+ provider clients): OpenAI, Anthropic, Groq, OpenRouter with automatic retry/failover, streaming, and structured JSON output parsed into Crystal classes. - Native local inference (
Llamero::Native): runs MLX models locally on Apple Silicon through a Swift bridge — resident model, token streaming, structured output, LoRA/QLoRA adapter hot-swap, and in-process adapter training. No Python, no llama.cpp.
Which API do I need?
| Task | Use | Detailed skill |
|---|---|---|
| Call OpenAI/Claude/Groq/OpenRouter, failover, retries | Subclass Llamero::Client |
cloud-providers |
| Run a model locally on a Mac, no API key | Llamero::Native::MLXRuntime |
local-inference |
| Typed JSON output from any model | chat_structured + a Llamero::BaseGrammar subclass |
both skills |
| Teach a local model new facts/documents; LoRA/QLoRA | session.train_adapter |
adapter-training |
| Toggle learned knowledge on/off at runtime | session.activate_adapters / deactivate_adapters |
local-inference |
Minimal rules that prevent most mistakes:
require "llamero"is the only require.Llamero::Clientis abstract — subclass it; neverLlamero::Client.new.- Native chat lives on a session:
runtime.start_session, thensession.load_model(required), thensession.chat(...). - Response text is always
.content; structured results are.parsed. BaseGrammarschema properties all need default values.- Native track on a machine without the built Swift bridge silently uses a
deterministic mock. Gate real-inference code on
runtime.real_bridge?.
Storage root
Default storage is ~/.llamero. Apps that own their AI data directory must set
the root at boot before creating runtimes:
Llamero.storage_root = Path.home.join(".scribe")
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 · 98 lines · 1,267 tokens per session scan A 4a23185bd333
llamero CLAUDE.md is an instructions file published in the GitHub repository crimson-knight/llamero (22 stars, last pushed 17d ago), licensed MIT. It adds 1,267 tokens to every session, about $0.0063 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 2026-08-30.
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