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 skills add Desko77/claude-code-skills-1c --skill lmstudio-apigit clone --depth 1 https://github.com/Desko77/claude-code-skills-1cWrote 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/skills/desko77/claude-code-skills-1c/lmstudio-api)<a href="https://agentmods.dev/skills/desko77/claude-code-skills-1c/lmstudio-api"><img src="https://agentmods.dev/badge/skills/desko77/claude-code-skills-1c/lmstudio-api/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/skills/desko77/claude-code-skills-1c/lmstudio-api"><img src="https://agentmods.dev/badge/skills/desko77/claude-code-skills-1c/lmstudio-api.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 | $0.00199 | $0.04643 |
| Opus 5.5 | $0.00080 | $0.01857 |
| Sonnet 5.5 | $0.00040 | $0.00929 |
| Haiku 4.5 | $0.00020 | $0.00464 |
Grade A, and why
lmstudio-api 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- lmstudio-api — 100% identical, 54 lines differ
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LM Studio API
Проверено вживую на LM Studio 0.4.x, 2026-08-07, локальный сервер на порту 1234
(AMD Strix Halo, 128 ГБ единой памяти). Замеры в конце - на qwen3-vl-30b-a3b-instruct.
Три поверхности API
| Поверхность | Путь | Назначение |
|---|---|---|
| OpenAI-совместимая | /v1/* |
инференс: chat/completions; models отдает только КАТАЛОГ скачанных |
| Нативная v0 (устаревшая) | /api/v0/* |
models с полем state; управления моделями нет |
| Нативная v1 | /api/v1/* |
с LM Studio 0.4.0, рекомендуемая: инференс + управление моделями |
Anthropic-совместимые эндпоинты тоже заявлены в доках, не проверялись.
Эндпоинты v1
POST /api/v1/chat (НЕ /api/v1/chat/completions)
GET /api/v1/models
POST /api/v1/models/load
POST /api/v1/models/unload
POST /api/v1/models/download
GET /api/v1/models/download/status
load: обязателен model - точный ключ модели. Опционально context_length,
eval_batch_size, flash_attention, num_experts, offload_kv_cache_to_gpu,
echo_load_config. Всегда ставить echo_load_config: true - ответ вернет фактически
примененный конфиг, и сразу видно, что сервер проигнорировал.
Ответ: {"type", "instance_id", "load_time_seconds", "status": "loaded", "load_config": {...}}.
Вызов БЛОКИРУЮЩИЙ - возвращается по факту загрузки, отдельно опрашивать готовность не нужно.
unload: обязателен instance_id, НЕ имя модели. Берется из loaded_instances[].id
ответа GET /api/v1/models.
GET /api/v1/models отдает {"models":[...]} с полями key, type, publisher,
architecture, quantization, size_bytes, max_context_length, capabilities,
loaded_instances[]. У инстанса - id и config с фактическими context_length,
parallel, flash_attention, eval_batch_size, num_experts и прочим.
Пустой loaded_instances = модель не загружена.
Инференс: два эндпоинта, и они НЕ равнозначны
/v1/chat/completions (OpenAI) |
/api/v1/chat (родной) |
|
|---|---|---|
| поле ввода | messages |
input |
| схема | лишние ключи проглатывает | строгая, лишний ключ -> 400 unrecognized_keys |
| управление reasoning | НЕТ (см. ниже) | reasoning первым классом |
| ответ | choices[].message.content |
output[].content |
| статистика | usage |
stats c reasoning_output_tokens |
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.
- 1mo ago First seen · 285 lines · 199 tokens per session scan A e8905e184e29
lmstudio-api is a skill published in the GitHub repository Desko77/claude-code-skills-1c (83 stars, last pushed 16d ago), licensed MIT. It adds 199 tokens to every session and 4,643 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
lmstudio-api
A reference for controlling LM Studio through its HTTP API. LM Studio is a local server for running AI models, and the guide covers checking, loading, unloading, and configuring models.
docx-from-sample
A document-building tool that creates a new DOCX file using an existing DOCX as its formatting template. DOCX is the file format used by Microsoft Word.
1c-bsp-registration
A helper for 1C external reports and processors that adds the function needed to register them in the Standard Subsystems Library (БСП). БСП is a set of reusable features for 1C configurations.
1c-cfe-patch-method
A tool for creating method interceptors in a 1C configuration extension. 1C is business software, and an interceptor can run code before, after, or instead of an inherited method.
claude-md-bootstrap
A project setup tool that creates or updates a CLAUDE.md file, which gives an AI coding agent project-specific instructions and background at the start of each session.
v8unpack-cf
A Python tool for unpacking and rebuilding 1C configuration files (CF, CFE, and EPF) as readable JSON and BSL source files. 1C is a business software platform widely used in Russian-speaking companies.