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 AIsa-team/agent-skills --skill cn-llmgit clone --depth 1 https://github.com/AIsa-team/agent-skillsWrote 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/aisa-team/agent-skills/cn-llm)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/cn-llm"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/cn-llm/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/aisa-team/agent-skills/cn-llm"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/cn-llm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 9 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 94 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 100 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 118 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 128 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 137 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 149 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 199 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 100 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 199 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 | $0.00061 | $0.03298 |
| Opus 5 | $0.00030 | $0.01649 |
| Sonnet 5 | $0.00012 | $0.00660 |
| Haiku 4.5 | $0.00006 | $0.00330 |
Grade A, and why
cn-llm scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries curl, python3, environment variables AISA_API_KEY and internet How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIsa CN-LLM 🐉
China LLM Unified Gateway. Powered by AIsa.
One API Key to access all Chinese LLMs. OpenAI compatible interface.
Qwen, DeepSeek, GLM, Baichuan, Moonshot, and more - unified API access.
🔥 What You Can Do
Intelligent Chat
"Use Qwen to answer Chinese questions, use DeepSeek for coding"
Deep Reasoning
"Use DeepSeek-R1 for complex reasoning tasks"
Code Generation
"Use DeepSeek-Coder to generate Python code with explanations"
Long Text Processing
"Use Qwen-Long for ultra-long document summarization"
Model Comparison
"Compare response quality between Qwen-Max and DeepSeek-V3"
Supported Models
Qwen (Alibaba)
| Model | Input Price | Output Price | Features |
|---|---|---|---|
| qwen3-max | $1.37/M | $5.48/M | Most powerful general model |
| qwen3-max-2026-01-23 | $1.37/M | $5.48/M | Latest version |
| qwen3-coder-plus | $2.86/M | $28.60/M | Enhanced code generation |
| qwen3-coder-flash | $0.72/M | $3.60/M | Fast code generation |
| qwen3-coder-480b-a35b-instruct | $2.15/M | $8.60/M | 480B large model |
| qwen3-vl-plus | $0.43/M | $4.30/M | Vision-language model |
| qwen3-vl-flash | $0.86/M | $0.86/M | Fast vision model |
| qwen3-omni-flash | $4.00/M | $16.00/M | Multimodal model |
| qwen-vl-max | $0.23/M | $0.57/M | Vision-language |
| qwen-plus-2025-12-01 | $1.26/M | $12.60/M | Plus version |
| qwen-mt-flash | $0.168/M | $0.514/M | Fast machine translation |
| qwen-mt-lite | $0.13/M | $0.39/M | Lite machine translation |
DeepSeek
| Model | Input Price | Output Price | Features |
|---|---|---|---|
| deepseek-r1 | $2.00/M | $8.00/M | Reasoning model, supports Tools |
| deepseek-v3 | $1.00/M | $4.00/M | General chat, 671B parameters |
| deepseek-v3-0324 | $1.20/M | $4.80/M | V3 stable version |
| deepseek-v3.1 | $4.00/M | $12.00/M | Latest Terminus version |
Note: Prices are in M (million tokens). Model availability may change, see marketplace.aisa.one/pricing for the latest list.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 396 lines · 61 tokens per session scan A de84845d102b
cn-llm is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 3,298 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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