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 ShaftHQ/SHAFT_ENGINE --skill local-openai-compatgit clone --depth 1 https://github.com/ShaftHQ/SHAFT_ENGINEWrote 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/shafthq/shaft_engine/local-openai-compat)<a href="https://agentmods.dev/skills/shafthq/shaft_engine/local-openai-compat"><img src="https://agentmods.dev/badge/skills/shafthq/shaft_engine/local-openai-compat/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/shafthq/shaft_engine/local-openai-compat"><img src="https://agentmods.dev/badge/skills/shafthq/shaft_engine/local-openai-compat.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 | $0.00048 | $0.00123 |
| Opus 5.5 | $0.00019 | $0.00049 |
| Sonnet 5.5 | $0.00010 | $0.00025 |
| Haiku 4.5 | $0.00005 | $0.00012 |
Grade A, and why
local-openai-compat 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 15d 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.
What it actually says
Local OpenAI-compat runtimes
Compatibility pointer: folded into local-runtimes. Open Local OpenAI-compat runtimes; scripts stay in this directory.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 15d ago Changed 81521c051399
- 21d ago Changed · -108 lines · +12 tokens per session be4ad1755a92
- 23d ago Changed · +7 lines dd55c152e03d
- 29d ago Changed · +1 lines d7852ed4af15
- 1mo ago First seen · 112 lines · 36 tokens per session scan A 2b37b66dfd0b
local-openai-compat is a skill published in the GitHub repository ShaftHQ/SHAFT_ENGINE (414 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 123 once invoked, about $0.0002 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 2026-09-17.
Other skills, from other repositories
813-regulations-iso-42001
Use when reviewing, designing, or modifying Java enterprise systems that use GenAI, LLMs, AI-assisted coding, RAG, AI agents, generated code, generated dependencies, prompt workflows, external model providers, or AI-enabled business logic and need ISO/IEC 42001 AI management system-aware engineering guidance. Part of…
prompt-engineering
Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template composition. Use when the user asks to write or improve a prompt, wants help with few-shot examples, chain-of-thought, system prompts, prompt…
prompt-optimizer
A prompt-writing assistant that turns a rough request into a clearer set of instructions for an AI system. It can adapt the wording and format for services such as Claude, ChatGPT, Gemini, and other named platforms.
Framework Architect
Skill thiết kế và scaffold automation framework hoàn chỉnh cho Playwright, Selenium, và Appium — bao gồm project structure, base classes, config management, reporting, và CI/CD integration.
Smart Locator Agent
Skill sinh locator ổn định và dễ bảo trì cho UI automation, hỗ trợ Playwright, Selenium và Appium.
QA Automation Engineer
Skill hỗ trợ agent thực hiện các tác vụ QA automation testing bao gồm generate test cases, automation scripts, API tests, locators, phân tích flaky tests, và tạo test data.