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 zhipugit 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/zhipu)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/zhipu"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/zhipu/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/zhipu"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/zhipu.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 15 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 24 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 | $0.00021 | $0.00918 |
| Opus 5 | $0.00010 | $0.00459 |
| Sonnet 5 | $0.00004 | $0.00184 |
| Haiku 4.5 | $0.00002 | $0.00092 |
Grade A, and why
preset-skill-zhipu 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 3d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
zhipu preset revision
Use this child for the named built-in zhipu preset. zhipuPreset in tui/internal/preset/preset.go:1275 ships GLM-5.2, ZHIPU_API_KEY, OpenAI compatibility, CN/INTL coding endpoints, web_search, and skills; it does not ship a vision capability. ProviderRegionURLs["zhipu"] also has an OpenCode Go row whose model spelling is lowercase.
Template-specific settings
Read the official Zhipu model overview and Z.AI model docs for the applicable region. For the native CN/INTL route, use that provider catalog and its documented API model list/endpoint; for OpenCode Go, separately call the gateway's authenticated GET https://opencode.ai/zen/go/v1/models and preserve the lowercase IDs it serves. Do not treat GLM-4.6V or the optional Z.AI Vision MCP as the text preset's native vision. Preserve the exact case required by the selected route. The optional official server uses package @z_ai/mcp-server and backing model GLM-4.6V; it reads Z_AI_API_KEY and Z_AI_MODE, while this preset reads ZHIPU_API_KEY. Vision Understanding consumes a separate 5-hour prompt pool; never install, register, or invoke that MCP automatically.
TUI surfaces to revise
Start at zhipuPreset in tui/internal/preset/preset.go. Revise providerModels["zhipu"] and all matching modelHasVision entries in tui/internal/tui/preset_editor.go when the picker or text/vision fact changes. For endpoint or credential changes, revise ProviderRegionURLs and ProviderDefaultEnv in preset.go. Recheck the constructor's intentionally absent vision key and the model-row/base_url behavior; follow tui/internal/tui/SKILL.md and tui/CONTRACT.md.
The picker retains uppercase GLM-5.2/GLM-5.1 and lowercase glm-5.2/glm-5.1 in one mixed list. This is an evidence-backed no-op: the reviewed sources do not pin a native Coding Plan GLM-5.3 ID or casing strongly enough to split the native and Go routes safely, so no native GLM-5.3 entry is invented. The constructor's absent vision key is intentional: the shipped GLM coding models are text-only.
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.
- 3d ago Changed · +5 lines · -1 tokens per session 64d0bcad729b
- 12d ago First seen · 68 lines · 22 tokens per session scan A c6d8b407b725
preset-skill-zhipu is a skill published in the GitHub repository Lingtai-AI/lingtai (677 stars, last pushed today), licensed Apache-2.0. It adds 21 tokens to every session and 918 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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