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 openroutergit 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/openrouter)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/openrouter"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/openrouter/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/openrouter"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/openrouter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00749 |
| Opus 5 | $0.00010 | $0.00375 |
| Sonnet 5 | $0.00004 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
preset-skill-openrouter 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
openrouter preset revision
Use this child for the named built-in openrouter preset. openrouterPreset in tui/internal/preset/preset.go:1418 ships gateway provider openrouter, model z-ai/glm-5.3, provider-resolved base_url, OPENROUTER_API_KEY, web_search, and skills; the stock manifest has no vision capability.
The stock template is text-only. A saved preset that explicitly adds
capabilities.vision may attempt the selected downstream model's endpoint
and only then may the vision tool attempt that endpoint; gateway-wide
multimodality alone does not change this template.
Template-specific settings
Read the official OpenRouter model guide and multimodal guide. For the live gateway catalog, authenticated GET https://openrouter.ai/api/v1/models is the lookup; inspect each returned id, input_modalities, supported parameters, and endpoint details. The website is useful for browsing but the API response is the served-list evidence. Do not confuse a downstream provider model or gateway-wide multimodality with the stock preset's capability wiring.
TUI surfaces to revise
Start at openrouterPreset in tui/internal/preset/preset.go. OpenRouter intentionally has no providerModels picker or modelHasVision binding, so the model remains free text and a catalog update does not automatically edit the TUI. Recheck the constructor's provider-resolved base_url, credential, and absent vision key; inspect the fixed capability rendering only if that constructor contract changes. Follow tui/CONTRACT.md.
Reviewed deterministic revision
Prepare an evidence-bound manifest and explicit input, then run lingtai-tui presets revise --manifest PATH --input PATH --mode dry-run|check|apply [--output-dir PATH]. Review the JSON plan, use dry-run/check before apply, and apply only to a new explicit output directory. revision.go validates hashes, route bindings, and evidence and preserves unowned bytes. This amendment revises the constructor default to z-ai/glm-5.3. GLM 5.3, 5.3 Flash, and 5.2 remain documented choices only; batch variants are excluded from interactive use and no universal picker is introduced.
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 Changed · +29 lines · -1 tokens per session aeaa7af0081e
- 11d ago First seen · 38 lines · 20 tokens per session scan A d89e4a454a23
preset-skill-openrouter is a skill published in the GitHub repository Lingtai-AI/lingtai (673 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 749 once invoked, about $0.0001 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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