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 mimogit 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/mimo)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/mimo"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/mimo/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/mimo"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/mimo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 12 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 19 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00018 | $0.00854 |
| Opus 5 | $0.00009 | $0.00427 |
| Sonnet 5 | $0.00004 | $0.00171 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
preset-skill-mimo 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 today.
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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mimo preset revision
Use this child for the named built-in mimo preset. mimoPreset in tui/internal/preset/preset.go:1294 ships mimo-v2.5, XIAOMI_API_KEY, the OpenAI-compatible Xiaomi endpoint, and vision scoped to that model. Its regional rows are MiMo, OpenCode Go, and Custom.
Template-specific settings
Read Xiaomi's official MiMo developer introduction and OpenAI-compatible API documentation. Use the official catalog and, when supported by the selected endpoint, its authenticated GET /models response for served IDs. OpenCode Go is a gateway: query its authenticated GET https://opencode.ai/zen/go/v1/models separately. Do not infer vision from a name such as omni; verify image input on the exact model and route. Custom is user-supplied and has no provider-wide latest answer.
The native MiMo picker carries mimo-v2.5 and text-only mimo-v2.5-pro. The deprecated mimo-v2-pro and mimo-v2-omni entries are removed from native curation only. Native mimo-v2.5 retains the reviewed LingTai-side vision capability; no Go modality is inferred. OpenCode Go keeps its exact pre-PR picker — mimo-v2.5, mimo-v2.5-pro, mimo-v2-pro, and mimo-v2-omni — and prior behavior. No official MiMo vision MCP is established.
TUI surfaces to revise
Start at mimoPreset in tui/internal/preset/preset.go. Revise providerModels["mimo"] and the matching modelHasVision entries in tui/internal/tui/preset_editor.go. Revise ProviderRegionURLs and ProviderDefaultEnv only for endpoint/credential behavior, and confirm the constructor's vision provider remains scoped to the intended model and route. Follow the latest-two-generation rule in tui/internal/tui/SKILL.md and tui/CONTRACT.md.
When an edited built-in is stamped a numbered key slot, the prefix is the provider name: MIMO_1_API_KEY, not the ProviderDefaultEnv slot XIAOMI_API_KEY. Keep this distinction when revising endpoint behavior.
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.
- today Changed · -2 tokens per session f504f129f532
- 9d ago First seen · 72 lines · 20 tokens per session scan A a1cb71988da6
preset-skill-mimo is a skill published in the GitHub repository Lingtai-AI/lingtai (700 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 854 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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