DecimalAI Skills Registry

ai.decimal由 decimal.ai 發布v0.1.3更新於 Oct 24, 2026

Search agent skills ranked by measured lift vs a no-skill baseline, with safety and rankings.

概覽

AI 產生的概覽

針對 DecimalAI 公開技能登錄庫的唯讀搜尋與排行榜工具,依實測基準成效為代理技能排序。

可以做什麼
透過公開的 DecimalAI 技能登錄庫提供三個唯讀工具:search_skills 進行關鍵字與語意混合搜尋;get_skill 回傳完整紀錄,包含安全掃描狀態、經驗證的基準提升、SkillScore、評分以及 SKILL.md 內容;get_leaderboard 依 skill_score、biggest_improvement、efficiency 或 top_rated 回傳排名清單。三個工具都讀取公開端點,可匿名使用。設定 API 金鑰只會增加依組織區分的補充資訊,例如 installed_as。
適用情境
當助理需要依實測成效而非下載次數來尋找、比較或引用代理技能時適用,例如為某項任務挑選技能,或在採用前查看技能的安全掃描狀態與基準提升。
執行需求
以 PyPI 套件 decimalai-mcp 透過 stdio 在本機執行,需要 Python 3.10+(pip install 或 uvx)。需要連線至公開登錄庫端點的網路。不需要帳號或 API 金鑰;選用密鑰 DECIMAL_API_KEY 可啟用依組織區分的補充資訊,DECIMAL_API_URL 可指向自架後端。
安裝前請注意
此伺服器為唯讀且不需要金鑰,匿名使用時只會把搜尋查詢送往公開登錄庫。若設定 DECIMAL_API_KEY,該憑證會傳給伺服器並使請求與你的組織關聯;請將其視為機密,在不需要依組織補充資訊時不要設定。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 DecimalAI Skills Registry,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

decimalai-mcp

Part of DecimalAI. Most users want the Python SDK → decimal-labs/decimalai-python.

MCP server for the DecimalAI skills registry — the registry that ranks agent skills by measured effectiveness (verified A/B benchmarks, live pass rates, AI rater scores), not download counts.

[PyPI] [Downloads] [CI] [Python] [License]

Gives any MCP client (Claude Desktop, Claude Code, Cursor, …) three read-only tools:

ToolWhat it does
search_skills(query, category?, sort?, limit?)Hybrid keyword/semantic search over the public registry
get_skill(slug)Full record: trust & safety-scan status, verified benchmark lift, SkillScore, ratings, SKILL.md body, and how to install it (decimalai skills add <slug>, the folder it lands in, and the Claude Code --plugin-dir line)
get_leaderboard(sort?, category?, window_days?, limit?)Ranked leaderboard: skill_score, biggest_improvement, efficiency, top_rated

No API key required — all three tools read public registry endpoints. If you set DECIMAL_API_KEY (from app.decimal.ai/settings), the same tools additionally show which skills your org has already installed (installed_as).

Install

bash
pip install decimalai-mcp# or, no install needed at config time:uvx decimalai-mcp

Requires Python 3.10+.

Claude Code

bash
claude mcp add decimalai -- uvx decimalai-mcp# with an API key:claude mcp add decimalai -e DECIMAL_API_KEY=dai_sk_... -- uvx decimalai-mcp

Claude Desktop

Add to claude_desktop_config.json (Settings → Developer → Edit Config):

json
{  "mcpServers": {    "decimalai": {      "command": "uvx",      "args": ["decimalai-mcp"],      "env": {        "DECIMAL_API_KEY": "dai_sk_optional"      }    }  }}

Omit the env block entirely for anonymous read-only access.

Configuration

Env varDefaultPurpose
DECIMAL_API_KEY(unset)Optional. Unlocks per-org enrichment (e.g. installed_as) on the same public endpoints.
DECIMAL_API_URLhttps://api.decimal.aiPoint at a self-hosted / local backend.

Why no check_manifest_impact tool?

The manifest-impact endpoint (POST /api/v1/regression-check) is authenticated on the platform — it analyzes your org's production traces against a candidate manifest, so there is no public variant to expose. This server is deliberately a read-only, key-optional public-registry surface. If demand shows up, an authed check_manifest_impact (requiring DECIMAL_API_KEY) is a natural v0.2 addition; the regression-check GitHub Action covers the CI use-case today.

Endpoints used (all public)

  • GET /api/v1/registry/skills — browse/search
  • GET /api/v1/registry/skills/{slug} — detail
  • GET /api/v1/registry/leaderboard — ranked leaderboard (category filtering falls back to the browse endpoint's documented view=ranks mode, because the leaderboard endpoint is uncategorized)

Development

bash
pip install -e ".[dev]"pytest              # all HTTP mocked; no networkpython -m decimalai_mcp.server   # run over stdio

Run pytest yourself before opening a PR. CI also asserts that the pinned mcp<2 still provides FastMCP, which the mocked tests do not cover — run that one too:

bash
python -c "from mcp.server.fastmcp import FastMCP; import decimalai_mcp.server"

Releases are cut from a published GitHub Release — see RELEASING.md for the gates a change has to pass and the version strings that must move together.

License

MIT

來源:README.md,提交 a033c9f

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.3最新Sep 16, 2026

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