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 kimigit 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/kimi)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/kimi"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/kimi/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/kimi"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/kimi.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 13 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 20 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 | $0.00808 |
| Opus 5 | $0.00009 | $0.00404 |
| Sonnet 5 | $0.00004 | $0.00162 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
preset-skill-kimi 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 yesterday.
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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kimi preset revision
Use this child for the named built-in kimi preset. kimiPreset in tui/internal/preset/preset.go:1361 ships Kimi Code's k3, KIMI_CODE_API_KEY, https://api.kimi.com/coding/v1, OpenAI compatibility, tool use, web_search, and skills; it has no built-in LingTai vision key. ProviderRegionURLs["kimi"] also exposes OpenCode Go and Custom.
Template-specific settings
Read the official Kimi Code docs, Kimi Code quickstart, and provider configuration. The native route's reviewed two-generation picker uses the exact IDs k3, k3-256k, kimi-for-coding, and kimi-for-coding-highspeed. OpenCode Go is a separate gateway: query its authenticated GET https://opencode.ai/zen/go/v1/models and preserve its lowercase IDs. The exact native route lookup makes only the Kimi Code row a picker; the Go row remains free text, so a gateway catalog cannot become a Go picker or prove native-route support. Moving from Kimi Code to Go clears a known native Kimi id; enter an explicit Go id before saving. Arbitrary typed Go values and Custom remain free text. OpenCode Go's documented examples include lowercase kimi-k3 and kimi-k2.7-code; check its live list rather than treating these examples as a permanent catalog. Do not add Go IDs to the native picker or infer Go vision.
TUI surfaces to revise
Start at kimiPreset in tui/internal/preset/preset.go. The provider-global catalog remains absent, while the exact Kimi Code route override supplies the native picker and k3 default. Keep OpenCode Go and Custom free text, preserve their endpoint/credential behavior, and recheck the constructor's absent vision capability. Relevant route lookup and editor behavior live in tui/internal/tui/preset_editor.go; 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 curates the native two-generation picker while preserving the Go free-text route and Custom 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.
- yesterday Changed · -7 lines · -1 tokens per session d16269e608cf
- 10d ago First seen · 75 lines · 19 tokens per session scan A e7e4252b1516
preset-skill-kimi is a skill published in the GitHub repository Lingtai-AI/lingtai (670 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 808 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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