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 commands/ruvnet/sublinear-time-solver/model-updategit clone --depth 1 https://github.com/ruvnet/sublinear-time-solverWrote 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/commands/ruvnet/sublinear-time-solver/model-update)<a href="https://agentmods.dev/commands/ruvnet/sublinear-time-solver/model-update"><img src="https://agentmods.dev/badge/commands/ruvnet/sublinear-time-solver/model-update.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00125 |
| Opus 5 | $0.00000 | $0.00063 |
| Sonnet 5 | $0.00000 | $0.00025 |
| Haiku 4.5 | $0.00000 | $0.00013 |
Grade A, and why
model-update 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.
This is a copy
100% identical to model-update — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
model-update
Update neural models with new data.
Usage
npx claude-flow training model-update [options]
Options
--model <name>- Model to update--incremental- Incremental update--validate- Validate after update
Examples
# Update all models
npx claude-flow training model-update
# Specific model
npx claude-flow training model-update --model agent-selector
# Incremental with validation
npx claude-flow training model-update --incremental --validate
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 · 26 lines · 0 tokens per session scan A 4f5173be4cfb
model-update is a command published in the GitHub repository ruvnet/sublinear-time-solver (89 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 125 tokens. A static security scan graded it A with 0 findings. It is 100% identical to model-update, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
doctor.es
Diagnostica problemas de inferencia LLM en Mac: asiai doctor verifica el estado de los motores, conflictos de puertos, carga de modelos y estado de la GPU.
music-suno-prompt
Grounded Suno prompt synthesis from local knowledge corpus + persona canon + label canon. No vibes-prompting.
web-add
Ingest a single URL into the knowledge base.
laravel-ai-sdk
Build AI features with the first-party Laravel AI SDK (Laravel 13+); use the laravel:ai-sdk skill exactly as written.
audit-prompt
Evaluate an existing prompt for clarity, effectiveness, and edge cases.
dare-llm-integration
Integração segura e eficiente com LLMs (Gemini, Claude, OpenAI, Ollama) em projetos DARE.