SigRank SignalAF — AI Operator Cascade & Leaderboard

السجل الرسمي الذكاء الاصطناعي والوكلاء

SigRank SignalAF on-device scanner — four-token cascade, leaderboard, 25 local tools.

ماذا يمكنك أن تفعل مع SigRank SignalAF — AI Operator Cascade & Leaderboard؟

  • Reads usage metadata from supported local AI session logs.
  • Shows input, output, cache-write, and cache-read counts across available time windows.
  • Calculates Yield, Leverage, Velocity, SNR, and 10xDEV locally.
  • Provides a terminal dashboard and MCP tools for AI clients.
  • Submits signed telemetry only when you choose to publish.

التثبيت

أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: ‏.cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).

NPM package sigrank
Claude Code
claude mcp add sigrank-signalaf-ai-operator-cascade-lea -- npx -y sigrank@1.0.47
إعداد JSON (Claude Desktop وCursor وVS Code)
{
    "mcpServers": {
        "sigrank-signalaf-ai-operator-cascade-lea": {
            "command": "npx",
            "args": [
                "-y",
                "sigrank@1.0.47"
            ]
        }
    }
}

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. SigRank CLI & MCP
  2. What it does
  3. Get started
  4. Connect an MCP client
  5. Command guide
  6. How measurement works
  7. Privacy
  8. Development
  9. Related projects
  10. Contributing and security
  11. License

SigRank CLI & MCP

Read your local AI usage, inspect the token cascade, and optionally publish a signed snapshot to the SigRank leaderboard on SignalAF.

npx sigrank

Website · Quickstart · MCP setup · Tool and adapter reference · Privacy

What it does

  • Reads usage metadata from supported local AI session logs.
  • Shows input, output, cache-write, and cache-read counts across available time windows.
  • Calculates Yield, Leverage, Velocity, SNR, and 10xDEV locally.
  • Provides a terminal dashboard and MCP tools for AI clients.
  • Submits signed telemetry only when you choose to publish.

This evaluates observable token-processing patterns, not model quality, work quality, productivity, or business outcomes. An adapter may estimate a pillar when its source does not expose it separately; those limitations are documented in the adapter reference.

Get started

Requires Node.js 20 or later. No global install is required.

Explore locally
npx sigrank                       # interactive dashboard in a terminal
npx sigrank board --once          # public leaderboard, one-shot
npx sigrank board --window 7d --once

The dashboard includes Dashboard, Trends, Compare, Board, Watch, and Connect tabs. Use 1–6 or the arrow keys to switch, R to refresh, and Q to quit.

Publish your own snapshot
  1. Sign in at signalaf.com and create a connect code in Settings.
  2. Enroll this device, then inspect the dry-run payload.
  3. Submit when you are ready to publish.
npx sigrank enroll
npx sigrank submit --dry-run
npx sigrank submit

Enrollment binds a device signing key to your operator account. The private key stays on your device. The server verifies and re-scores submitted telemetry; a local preview is not a guaranteed public rank.

For repeated use, an optional global installation provides the same commands:

npm install -g sigrank
sigrank

Connect an MCP client

Add this server to your client's MCP configuration:

{
  "mcpServers": {
    "sigrank": {
      "command": "npx",
      "args": ["-y", "sigrank"]
    }
  }
}

The entry point automatically runs an MCP stdio server when launched without a terminal. MCP tool names are called by the client; they are not shell commands.

TaskTools
Inspect local usagetokenpull, rank_windows, tokenpull_compare
Calculate from supplied countsrank_paste, get_sigrank_standard_record
Read public resultsget_leaderboard, get_operator, discover_peers
Explore possible changesdiagnose_cascade, simulate_change, suggest_improvements
Enroll and submitenroll, submit_verified

For the full list, arguments, and adapter paths, see the CLI and MCP reference. Publishing through submit_verified requires confirm: true; dry_run: true inspects the payload without publishing.

Command guide

CommandPurpose
sigrankOpen the terminal dashboard
sigrank board --oncePrint the public leaderboard
sigrank compare --platform codexAudit token counts across available local sources
sigrank watch --window 7dWatch local usage updates
sigrank enrollBind a device using a connect code
sigrank submit --dry-runInspect a signed submission without sending it
sigrank submitPublish a verified submission
sigrank proxyStart the optional loopback usage proxy
sigrank --helpShow the current command reference
Optional usage proxy

Some clients do not persist all provider-reported usage in their session files. sigrank proxy can capture usage from compatible Anthropic or OpenAI API traffic when a client supports a custom API base URL.

The proxy is off by default and binds only to loopback. It forwards provider-bound request/response content and credentials in memory, but does not persist their content. Its local usage log contains token counts and metadata. See the privacy contract before using it.

How measurement works

Four token pillars feed the calculation:

Yield (Υ) = (cache_read × output) / input²
Leverage  = cache_read / input
Velocity  = output / input
SNR       = output / (input + output)
10xDEV    = log₁₀(Leverage)

This package distributes the Upsilon measurement engine through the sigrank CLI/MCP compatibility command. SigRank is the public leaderboard and proof surface on SignalAF. TTEOP defines the protocol semantics; MO§ES™ is the governance framework.

The implementation delegates canonical calculations through token-cascade to tteop-spec. See the TTEOP implementation profile and protocol compatibility notes.

Privacy

Local inspection does not publish your usage. Signed submissions include the four pillars plus account/device identifiers, signature, platform/version information, counts, and report metadata. Enrollment also sends a device label.

Prompt text, response text, source code, repository contents, and local file paths are not part of the ranked submission payload. The optional proxy's transient handling of content is separate from what is persisted or submitted.

Read the full payload and privacy details, and use submit --dry-run to inspect what would be sent.

Development

git clone https://github.com/SunrisesIllNeverSee/sigrank-mcp.git
cd sigrank-mcp
npm install
npm test
npm run test:packaged

Run node index.mjs in a terminal for the dashboard, or configure the checked-out entry point in an MCP client. Release versions are managed by the repository's explicit publishing workflow; a documentation commit does not publish an npm release.

  • sigrank-app — SignalAF website, profiles, public API, and leaderboard.
  • token-cascade — measurement implementation consumed by this package.
  • TTEOP — protocol specification and semantics.

Contributing and security

See the contributing guide. Open bugs in GitHub Issues; report vulnerabilities privately through the security policy.

License

MIT.

الأسئلة الشائعة

ما هو SigRank SignalAF — AI Operator Cascade & Leaderboard؟

SigRank SignalAF on-device scanner — four-token cascade, leaderboard, 25 local tools.

كيف أثبّت SigRank SignalAF — AI Operator Cascade & Leaderboard؟

يعمل على جهازك. في Claude Code: claude mcp add sigrank-signalaf-ai-operator-cascade-lea -- npx -y sigrank@1.0.47. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.

هل يحتاج SigRank SignalAF — AI Operator Cascade & Leaderboard إلى مفتاح API؟

لا يذكر إدراجه في السجل أي مفتاح أو سر إلزامي. قد تتطلب بعض الميزات حسابًا لدى الخدمة التي يتصل بها.

هل SigRank SignalAF — AI Operator Cascade & Leaderboard مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص MIT.

من يصون SigRank SignalAF — AI Operator Cascade & Leaderboard؟

ينشره SunrisesIllNeverSee. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.