n-skills is a curated marketplace for reusable instructions and skills that extend AI coding agents such as Claude Code, Codex, Cursor, and other agents that read AGENTS.md. Users install these workflow, tool, and orchestration packages through native installers or the universal OpenSkills installer. The catalogue plugins and skills are examples of the packages it distributes.
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 agentmods add skills/numman-ali/n-skills/zai-clinpx skills add numman-ali/n-skills --skill zai-cligit clone --depth 1 https://github.com/numman-ali/n-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/numman-ali/n-skills/zai-cli)<a href="https://agentmods.dev/skills/numman-ali/n-skills/zai-cli"><img src="https://agentmods.dev/badge/skills/numman-ali/n-skills/zai-cli.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00111 | $0.00555 |
| Opus 5 | $0.00056 | $0.00278 |
| Sonnet 5 | $0.00022 | $0.00111 |
| Haiku 4.5 | $0.00011 | $0.00056 |
Grade A, and why
zai-cli 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- zai-cli — 100% identical, 0 lines differ
What it actually says
ZAI CLI
Access Z.AI capabilities via npx zai-cli. The CLI is self-documenting - use --help at any level.
Setup
export Z_AI_API_KEY="your-api-key"
Get a key at: https://z.ai/manage-apikey/apikey-list
Commands
| Command | Purpose | Help |
|---|---|---|
| vision | Analyze images, screenshots, videos | --help for 8 subcommands |
| search | Real-time web search | --help for filtering options |
| read | Fetch web pages as markdown | --help for format options |
| repo | GitHub code search and reading | --help for tree/search/read |
| tools | List available MCP tools | |
| tool | Show tool schema | |
| call | Raw MCP tool invocation | |
| code | TypeScript tool chaining | |
| doctor | Check setup and connectivity |
Quick Start
# Analyze an image
npx zai-cli vision analyze ./screenshot.png "What errors do you see?"
# Search the web
npx zai-cli search "React 19 new features" --count 5
# Read a web page
npx zai-cli read https://docs.example.com/api
npx zai-cli read https://docs.example.com/api --with-images-summary --no-gfm
# Explore a GitHub repo
npx zai-cli repo search facebook/react "server components"
npx zai-cli repo search openai/codex "config" --language en
npx zai-cli repo tree openai/codex --path codex-rs --depth 2
# Check setup
npx zai-cli doctor
Output
Default: data-only (raw output for token efficiency).
Use --output-format json for { success, data, timestamp } wrapping.
Advanced
For raw MCP tool calls (tools, tool, call), Code Mode, and performance tuning (cache/retries),
see references/advanced.md.
What ships with it
1 file 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.
- 4d ago First seen · 71 lines · 111 tokens per session scan A 089a052b6771
zai-cli is a skill published in the GitHub repository numman-ali/n-skills (1,040 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 111 tokens to every session and 555 once invoked, about $0.0006 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.
Other skills, from other repositories
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brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…