
SkillFM Beacon
io.github.ericm1018由 GitHub 帳號 ericm1018 發布v0.1.1更新於 Oct 24, 2026
AI health, token usage, LLM cost optimization, BYOK vault, and cleanup audits for MCP agents.
發布方自己的服務:RealGeeks Company Registry
概覽
本機 MCP 啟動器,用來檢視 AI 健康狀態、token 用量與 LLM 花費,提供省錢建議並稽核代理程式雜亂項目。
- 可以做什麼
- 檢查 AI 健康狀態與工作階段狀態,檢視 OpenAI、Anthropic、DeepSeek、Qwen 等供應商的 token 用量與 LLM 花費。在供應商設定、快取、批次處理與上下文清理方面找出節省成本的機會。透過存放在本機保管庫的 BYOK 金鑰監控供應商帳單。稽核拖慢代理程式的雜亂項目,例如過期工作樹、過大日誌與臃腫上下文,先報告再清理。偵測支援的本機代理程式環境,並在使用者核准後安裝或移除 SkillFM 指引。
- 適用情境
- 適合想了解代理程式當天用了多少 token、AI 帳單為何上升,或判斷代理程式變慢是否因上下文與工作區檔案臃腫所致的情況。也適合想接入供應商金鑰但不願把金鑰送到 SaaS 儀表板的使用者。
- 執行需求
- 透過 npx 從 npm 套件 @skillfm/mcp 以 stdio 在本機執行,該套件會轉交給 @skillfm/local。啟用使用僅綁定 127.0.0.1 的本機 sidecar,並在使用者家目錄寫入探索檔案,需要使用者在自己瀏覽器中核准 OAuth 裝置碼。供應商金鑰為選用,用於 BYOK 帳單監控。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 SkillFM Beacon,將其新增到工作區。
- 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
SkillFM Beacon MCP
AI health, token usage, cost optimization, BYOK monitoring, and safe cleanup for MCP-capable agents.
SkillFM Beacon gives Claude Code, Cursor, Cline, Claude Desktop, VS Code Copilot, and other MCP clients a practical AI operations layer:
- Check AI health and session status.
- Inspect token usage and LLM spend.
- Find cost-saving opportunities across provider setup, cache usage, batching, and context cleanup.
- Monitor provider billing with BYOK keys stored in a local vault.
- Audit slow-agent clutter such as stale worktrees, oversized logs, and bloated context.
- Discover future SkillFM skills for content, social media, e-commerce, SEO/GEO, and workflow automation as they become available.
This repository is the public distribution shell for SkillFM's MCP marketplace listing. The canonical local runtime is @skillfm/local.
Quick Start
Use SkillFM Beacon as an MCP stdio server:
Equivalent explicit form:
For MCP clients that accept JSON config:
Activation Path
The MCP package delegates to @skillfm/local@latest, so the same package can start the local sidecar and activate SkillFM in the current machine.
Start the local sidecar:
The sidecar binds only to 127.0.0.1 and writes its service discovery file to:
Agent-driven activation flow:
- Read the sidecar URL from stdout or
~/.skillfm/local.json. - Call
POST <sidecar_url>/activate/start. - Show the returned verification URL and real device code to the user.
- Poll
POST <sidecar_url>/activate/polluntil it returnsactivated: true. - Use
GET <sidecar_url>/status,GET <sidecar_url>/skills, or the MCP tools.
Do not fabricate a placeholder code. The device code must come from POST /activate/start.
Useful Commands
What SkillFM Helps With
SkillFM Beacon is for users who ask:
- "How many tokens did I use today?"
- "Why is my AI bill going up?"
- "Can I save money on OpenAI, Anthropic, DeepSeek, Qwen, or other LLM providers?"
- "Is my agent getting slow because the context or workspace is bloated?"
- "How do I safely connect a provider key without sending it to a SaaS dashboard?"
- "What skills can my AI run for content, e-commerce, social media, SEO/GEO, or automation?"
Security Model
- Local sidecar: The activation sidecar listens on
127.0.0.1, not the public network. - BYOK vault: Provider API keys are stored locally by
@skillfm/local; agents do not read key values back. - No private core in this repo: This repository contains distribution metadata and a thin launcher only. Non-public platform implementation details are not included.
- User-controlled activation: OAuth device-flow activation requires the user to approve the real device code in their own browser.
- Read-only cleanup first: Cleanup audits are designed to report slow-agent clutter before any user-directed cleanup action.
See PRIVACY.md and SECURITY.md for the public repository boundary.
Marketplace Keywords
SkillFM Beacon is designed to be discoverable for:
MCP server, AI health checkup, token usage, LLM spend, AI cost optimizer, BYOK, local vault, agent monitoring, slow agent cleanup, context cleanup, Claude Code, Cursor, Cline, Claude Desktop, VS Code Copilot, OpenAI usage, Anthropic usage, DeepSeek usage, Qwen usage.
Public Surface Boundary
This public package is intentionally small. It exists to make SkillFM easy to install from MCP marketplaces and agent directories while keeping core safety and platform logic private.
Public:
- MCP registry metadata
- npm launcher package
- install docs
- activation flow
- security model
- user-facing tool descriptions
Private:
- non-public platform implementation
- proprietary evaluation internals
- private prompts or configuration
- customer data or logs
- provider credentials
Marketplace Readiness
server.json.namematchespackage.json.mcpName.- The npm package is a thin public launcher for
@skillfm/local. publishConfig.accessis set topublicfor scoped npm publishing.- Public docs avoid guaranteed income, passive income, and automatic earning claims.
- The repository contains no backend service code, customer logs, provider keys, or non-public automation logic.
See docs/MARKETPLACE-CHECKLIST.md before submitting to MCP registries or agent directories.
License
MIT
來源:README.md,提交 735a211
工具
0版本歷史
1- v0.1.1最新Sep 16, 2026
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