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 Lingtai-AI/lingtai --skill openaigit clone --depth 1 https://github.com/Lingtai-AI/lingtaiWrote 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/lingtai-ai/lingtai/openai)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/openai"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/openai/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/lingtai-ai/lingtai/openai"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/openai.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 | $0.00051 | $0.01550 |
| Opus 5.5 | $0.00020 | $0.00620 |
| Sonnet 5.5 | $0.00010 | $0.00310 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
preset-skill-openai 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 23d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
openai preset (OpenAI-compatible)
Use this child for the built-in openai template (display "OpenAI-compatible")
and for any saved preset whose provider is openai. openaiPreset in
tui/internal/preset/preset.go ships provider openai, an empty model,
api_key_env OPENAI_API_KEY, base_url null, and wire_api
chat_completions, with web_search on DuckDuckGo, vision inheriting the
agent's own provider, and the skills default.
Template-specific settings
base_url— optional. Empty means the official OpenAI API (https://api.openai.com/v1). Set it to any OpenAI-compatible endpoint: another vendor's compatible API, a local server, a relay, or an account pool. The value is SDK-style and carries its own version path (for examplehttp://127.0.0.1:8080/v1); requests go to{base_url}/chat/completionsor{base_url}/responses.wire_api—chat_completions(the default, written explicitly) orresponses. Withresponses,responses_transportmay selecthttp(the default, omitted) orwebsocket.api_key_env— the env-var name holding the key (defaultOPENAI_API_KEY). Editing and saving the template stamps a fresh per-preset slot (OPENAI_1_API_KEY,OPENAI_2_API_KEY, ...) so two presets never overwrite each other's key.model— free text. There is no universal model: read the configured endpoint's own catalog (an authenticatedGET {base_url}/modelswhen it implements it, otherwise its documentation) and record the exact served ID. Save refuses an empty model.thinking— standard reasoning effort:none,minimal,low,medium,high,xhigh, or omitted (the kernel default). It is sent as reasoning effort on either wire.service_tier—normal(omitted) orfast(sent aspriority). Whether an endpoint honors it is the endpoint's business.
Other vendors are reached here, not through vendor-named providers: pick
openai, set base_url to the vendor's OpenAI-compatible endpoint, paste
that vendor's key, and type the vendor's model ID. A vendor that exposes an
Anthropic-compatible endpoint instead uses reference/anthropic/SKILL.md.
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.
- 23d ago First seen · 119 lines · 51 tokens per session scan A 6c99ed58314c
preset-skill-openai is a skill published in the GitHub repository Lingtai-AI/lingtai (507 stars, last pushed 6d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,550 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 2026-10-01.
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