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/boshi-xixixi/traeskill/mcp-clinpx skills add boshi-xixixi/TraeSkill --skill mcp-cligit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/mcp-cli)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/mcp-cli"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/mcp-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 5.1 | $0.00049 | $0.00636 |
| Opus 5 | $0.00024 | $0.00318 |
| Sonnet 5 | $0.00010 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
mcp-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 2d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP-CLI
Access MCP servers through the command line. MCP enables interaction with external systems like GitHub, filesystems, databases, and APIs.
Commands
| Command | Output |
|---|---|
mcp-cli |
List all servers and tool names |
mcp-cli <server> |
Show tools with parameters |
mcp-cli <server>/<tool> |
Get tool JSON schema |
mcp-cli <server>/<tool> '<json>' |
Call tool with arguments |
mcp-cli grep "<glob>" |
Search tools by name |
Add -d to include descriptions (e.g., mcp-cli filesystem -d)
Workflow
- Discover:
mcp-cli→ see available servers and tools - Explore:
mcp-cli <server>→ see tools with parameters - Inspect:
mcp-cli <server>/<tool>→ get full JSON input schema - Execute:
mcp-cli <server>/<tool> '<json>'→ run with arguments
Examples
# List all servers and tool names
mcp-cli
# See all tools with parameters
mcp-cli filesystem
# With descriptions (more verbose)
mcp-cli filesystem -d
# Get JSON schema for specific tool
mcp-cli filesystem/read_file
# Call the tool
mcp-cli filesystem/read_file '{"path": "./README.md"}'
# Search for tools
mcp-cli grep "*file*"
# JSON output for parsing
mcp-cli filesystem/read_file '{"path": "./README.md"}' --json
# Complex JSON with quotes (use heredoc or stdin)
mcp-cli server/tool <<EOF
{"content": "Text with 'quotes' inside"}
EOF
# Or pipe from a file/command
cat args.json | mcp-cli server/tool
# Find all TypeScript files and read the first one
mcp-cli filesystem/search_files '{"path": "src/", "pattern": "*.ts"}' --json | jq -r '.content[0].text' | head -1 | xargs -I {} sh -c 'mcp-cli filesystem/read_file "{\"path\": \"{}\"}"'
Options
| Flag | Purpose |
|---|---|
-j, --json |
JSON output for scripting |
-r, --raw |
Raw text content |
-d |
Include descriptions |
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.
- 2d ago First seen · 79 lines · 49 tokens per session scan A 54081db970e9
mcp-cli is a skill published in the GitHub repository boshi-xixixi/TraeSkill (261 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 636 once invoked, about $0.0002 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 2026-09-03.
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当用户 时使用。典型信号:用户说" "、 。涉及关键词: 、 。只写"何时触发",不写工作流;第三人称、中文。上限 1024 字符.
spec-writing
Skill "spec-writing" from Lion-1209/Lion-Skills, covering spec writing, 概述, 何时使用, 核心内容 and 先判断时机:spec 之前还有没有重大未知.
onboarding-unknown-codebase
需快速上手陌生代码库、理解项目结构时。.
commit-message
把一团 diff 提炼成规范、可追溯的提交信息。核心:一条提交说清"做了什么"和"为什么",让未来的自己(和同事)能从提交历史里读懂项目演进。.
clarifying-questions
需求模糊、含隐藏假设或 X-Y problem,需先澄清再动手时。.
testing
需为代码写测试或改进脆弱测试时。.