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Agent skill

Run Stats MCP

by Exekiel179 in Exekiel179/psyclaw

需要跑统计（t 检验/方差/回归/因子/SEM/生存/EEG…）时，路由到正确的外部 MCP 服务器或 [stats] extra，而不是在 psyclaw 仓内重新实现算法。当任务涉及统计计算、选择统计方法、或有人想在 psyclaw 里写统计代码时使用。

Custom licenceAuto-check passedAgent Workflows

Install Run Stats MCP

skills CLI
$ npx skills add Exekiel179/psyclaw --skill run-stats-mcp -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Exekiel179/psyclaw run-stats-mcp --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Exekiel179/psyclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/run-stats-mcp .claude/skills/run-stats-mcp && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
run-stats-mcp
GitHub stars
103
Token cost
~384 tokens
SKILL.md length
113 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Custom licence

At a glance

需要跑统计（t 检验/方差/回归/因子/SEM/生存/EEG…）时，路由到正确的外部 MCP 服务器或 [stats] extra，而不是在 psyclaw 仓内重新实现算法。当任务涉及统计计算、选择统计方法、或有人想在 psyclaw 里写统计代码时使用。

  • Works in 5 steps: 明确统计需求（检验类型、设计、变量层级、假设）。 → 查上表 / registry.yaml 选服务器；用 python3 -m… → 目标服务器不可用时：告知用户装对应软件或 pip install… → …
  • Tasks that involve MCP servers
  • SKILL.md covers 硬约束（CLAUDE.md 铁律）, 方法 →…, 步骤 and 反模式（禁止）
  • Calls python3 and pip

What it does

Run Stats MCP is an agent skill from Exekiel179/psyclaw. 需要跑统计（t 检验/方差/回归/因子/SEM/生存/EEG…）时，路由到正确的外部 MCP 服务器或 [stats] extra，而不是在 psyclaw 仓内重新实现算法。当任务涉及统计计算、选择统计方法、或有人想在 psyclaw 里写统计代码时使用。

Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/run-stats-mcp”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 明确统计需求（检验类型、设计、变量层级、假设）。
  2. 查上表 / registry.yaml 选服务器；用 python3 -m psyclaw config（或 doctor）确认其可用。
  3. 目标服务器不可用时：告知用户装对应软件或 pip install 'psyclaw[stats]'，不要回落到自写统计。
  4. 通过 MCP 提交数据/参数、取回结果。
  5. 结果仍须过门禁：效应量+CI、假设检查、探索/确证区分——必要时调 gates-auditor 子代理。

What it can do on your machine

Read from SKILL.md and the folder at commit 452ec79. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Run Stats MCP loads about 384 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 113 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~384

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 113 words (~384 tokens).

“禁止在 psyclaw 仓内实现任何统计算法（分布函数/参数估计/检验/因子/生存…）。 统计已整体外移。psyclaw 只保留编排、知识参考、文献/写作、澄清/预注册、门禁。 需要数值时——交给外部 MCP 服务器，或用户按需装的 [stats] extra（pingouin/scipy/statsmodels/ lifelines/factor_analyzer/semopy）。绝不为了"省事"在本仓写统计。”

— opening of SKILL.md by Exekiel179, Custom licence
name
run-stats-mcp

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/run-stats-mcp of Exekiel179/psyclaw.

Open the folder on GitHubat commit 452ec79

Compare with similar skills

Run Stats MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Run Stats MCP compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Run Stats MCP this skillExekiel179/psyclaw103—~384Automated safety check: PassCustom licence
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Run Stats MCP

What does Run Stats MCP do?

需要跑统计（t 检验/方差/回归/因子/SEM/生存/EEG…）时，路由到正确的外部 MCP 服务器或 [stats] extra，而不是在 psyclaw 仓内重新实现算法。当任务涉及统计计算、选择统计方法、或有人想在 psyclaw 里写统计代码时使用。. Run Stats MCP is an agent skill from Exekiel179/psyclaw.

When should I use Run Stats MCP?

Run Stats MCP fits situations like: tasks that involve MCP servers.

How do I install Run Stats MCP in Claude Code?

Run `npx skills add Exekiel179/psyclaw --skill run-stats-mcp -a claude-code`. Or copy the skill folder (.claude/skills/run-stats-mcp in Exekiel179/psyclaw) into .claude/skills/run-stats-mcp in your project. Claude Code loads it when a task matches its description.

How do I install Run Stats MCP in Codex?

Run `npx skills add Exekiel179/psyclaw --skill run-stats-mcp -a codex`. Or copy the skill folder (.claude/skills/run-stats-mcp in Exekiel179/psyclaw) into .agents/skills/run-stats-mcp in your project. Codex loads it when a task matches its description.

Can I use Run Stats MCP in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Exekiel179/psyclaw --skill run-stats-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-stats-mcp, .gemini/skills/run-stats-mcp, .github/skills/run-stats-mcp and .opencode/skills/run-stats-mcp in your project.

What does Run Stats MCP need to run?

Going by SKILL.md and its folder, Run Stats MCP needs the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.

Does Run Stats MCP access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Run Stats MCP safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Run Stats MCP use?

Run Stats MCP has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Run Stats MCP use?

About 384 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Run Stats MCP?

Skills that share tags, products or a category with Run Stats MCP: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Run Stats MCP?

Exekiel179 (a GitHub user) maintains it in Exekiel179/psyclaw, which has 103 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 9, 2026.

Source: Exekiel179/psyclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.