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beepboop2025

financial-evidence

Financial Evidence Agent Skills

skills.sh

Public documentation includes a crawlable integration matrix plus agent-readable llms.txt, pricing, and integration metadata.

Open, read-only Agent Skills for routing financial research to bounded public evidence. The first skill connects four complementary products without turning them into one score:

  • Seiche — money markets, repo, reserves, Treasury cash and system funding.

  • LiquiLens — covered bank and lender evidence.

  • Undertow — market depth, provider concentration and position-sized exit liquidity.

  • Palimpsest — revision-safe China economy evidence and information-state history.

Install the agent skill

npx skills add beepboop2025/financial-evidence-skills --skill financial-evidence

Or copy financial-evidence/ into the Agent Skills directory supported by your agent. The folder follows the open Agent Skills specification.

The skill is also indexed in the public skills.sh directory.

Once installed, ask your agent to research a money-market, capital-market, bank-risk, market-liquidity or China-economy question. The skill's description lets compatible agents activate it when the work matches.

Related MCP server: NanoSearchMCP

Use from any terminal

No account or API key is required. On macOS or Linux with Homebrew:

brew install beepboop2025/tap/financial-evidence
financial-evidence fetch --topic money-market --topic china-economy

The formula installs financial-evidence, financial-evidence-mcp, and native Bash, Zsh, and Fish completions. Alternatively, run directly from GitHub without installing:

uvx --from git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.3 \
  financial-evidence fetch --topic money-market --topic china-economy

Or install it as a persistent command:

uv tool install git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.3
financial-evidence topics
financial-evidence route --topic capital-market --format table
financial-evidence fetch --topic bank-risk --format ndjson
financial-evidence doctor --format csv

Exit code 0 means every requested source succeeded, 1 means a partial packet, and 2 means every requested source was unavailable. That makes the client safe to compose in shell pipelines and scheduled jobs. JSON, NDJSON and CSV go to standard output; no result is silently replaced with a score.

Outside Homebrew, shell completions are emitted as inert text:

financial-evidence completion zsh > ~/.zfunc/_financial-evidence

Use as MCP infrastructure

The public Streamable HTTP endpoint requires no local install, account, or API key:

https://liquilens.in/mcp/financial-evidence

It exposes the same three read-only topics, route, and fetch tools for clients that support remote MCP. The package also includes a dependency-free stdio server for local or offline-compatible client setups. A portable stdio configuration is in the root .mcp.json and is mirrored in integrations/mcp-config.json:

{
  "mcpServers": {
    "financial-evidence": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.3",
        "financial-evidence-mcp"
      ]
    }
  }
}

It accepts both the MCP 2025-11-25 initialization flow and the stateless 2026-07-28 discovery flow. Messages use newline-delimited JSON-RPC on stdio; nothing except protocol messages is written to standard output.

The official MCP Registry record publishes both the multi-architecture OCI package and the public Streamable HTTP endpoint. Remote clients do not need uv, Docker, a credential, or a local subprocess.

Install in Gemini CLI or Claude Code

Gemini CLI can install this repository as an extension. Its root gemini-extension.json connects only to the fixed public remote MCP endpoint and allowlists the three read-only tools; the mirrored skills/financial-evidence folder gives Gemini the domain routing instructions as well:

gemini extensions install https://github.com/beepboop2025/financial-evidence-skills \
  --ref v0.1.3

Claude Code can add this repository as a self-hosted marketplace and install the bundled plugin:

claude plugin marketplace add beepboop2025/financial-evidence-skills
claude plugin install financial-evidence@liquidity-lab

The Claude plugin loads the same byte-identical Agent Skill plus the root .mcp.json stdio server. These are direct, self-hosted install routes; they do not imply inclusion in a vendor-operated marketplace or endorsement.

Install in Codex; prepare ChatGPT

Codex can add the repository's plugin marketplace and then install the plugin:

codex plugin marketplace add beepboop2025/financial-evidence-skills --ref main
codex plugin add financial-evidence@liquidity-lab

The OpenAI plugin package combines the byte-identical Agent Skill with the public remote MCP endpoint. The Codex repository install route is public. A ChatGPT and Codex universal-directory submission is also prepared, but has not been submitted, approved, or published by OpenAI. The remaining review, publisher-identity, and domain-challenge steps belong to the OpenAI account owner. See OPENAI_PLUGIN_SUBMISSION.md for the listing copy and required positive and negative tests.

The root .mcp.json is the portable workspace form read natively by Copilot Agent Host and other compatible clients. VS Code forwards .vscode/mcp.json to Agent Host for ordinary local sessions, but the root file avoids relying on that forwarding path.

Install in VS Code or Cursor

The repository also includes editor-specific workspace configuration: .vscode/mcp.json uses VS Code's top-level servers object, while .cursor/mcp.json uses Cursor's top-level mcpServers object. Both launch the same v0.1.3 stdio server through uvx.

VS Code can install the server through its protocol handler:

vscode:mcp/install?%7B%22name%22%3A%22financial-evidence%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fbeepboop2025%2Ffinancial-evidence-skills.git%40v0.1.3%22%2C%22financial-evidence-mcp%22%5D%7D

Or add it to your VS Code user profile from a terminal:

code --add-mcp '{"name":"financial-evidence","type":"stdio","command":"uvx","args":["--from","git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.3","financial-evidence-mcp"]}'

Cursor can install the same configuration through its base64-encoded deeplink:

cursor://anysphere.cursor-deeplink/mcp/install?name=financial-evidence&config=eyJ0eXBlIjoic3RkaW8iLCJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJnaXQraHR0cHM6Ly9naXRodWIuY29tL2JlZXBib29wMjAyNS9maW5hbmNpYWwtZXZpZGVuY2Utc2tpbGxzLmdpdEB2MC4xLjMiLCJmaW5hbmNpYWwtZXZpZGVuY2UtbWNwIl19

Install uv first so uvx is on your path. Review the source and exact configuration before accepting an editor's install or trust prompt: uvx executes the pinned package locally, and the fetch tool can contact the fixed public HTTPS sources documented by this project. Cursor asks for tool approval by default. VS Code normally asks you to trust a server when it first starts, but starting directly from mcp.json can skip that prompt, so inspect the file before using its inline start action. These are self-installable compatibility artifacts, not claims of a VS Code or Cursor marketplace listing or endorsement.

For desktop clients that support one-click MCP Bundles, download financial-evidence-0.1.3.mcpb from the GitHub release. The bundle uses the cross-platform uv runtime and requires no API key or configuration.

Finance-tool integrations

  • Remote MCP: connect any Streamable HTTP client to https://liquilens.in/mcp/financial-evidence; no local runtime, account, or API key is required.

  • Gemini CLI: the root extension manifest bundles the Agent Skill and allowlists the three tools exposed by the public remote MCP endpoint.

  • Claude Code: the self-hosted liquidity-lab marketplace installs the versioned plugin, Agent Skill, and MCP configuration from this repository.

  • Codex: the repository marketplace installs the Agent Skill and public remote MCP package directly.

  • ChatGPT: the universal-directory submission packet is prepared; public availability remains pending account-owned verification, submission, review, and publication.

  • OpenBB: install financial-evidence[openbb] from this repository inside an OpenBB environment and run openbb-build. The registered router exposes obb.financial_evidence.routes() and obb.financial_evidence.fetch(), which also become available to OpenBB's REST, notebook and MCP surfaces.

  • DuckDB: run integrations/duckdb/financial_evidence.sql to create separate HTTP-backed views for all four products.

  • Excel / Power Query: paste integrations/excel/FinancialEvidence.pq into Advanced Editor and invoke, for example, FinancialEvidence("money-market").

  • FDC3: the public Financial Evidence Inspector receives and broadcasts declared standard contexts through window.fdc3. integrations/fdc3/appd-record.json is its FDC3 2.0 web-app record for self-hosted or enterprise directories. The same record is served as raw JSON for direct directory ingestion. The record and runtime do not imply FINOS review, directory acceptance, or vendor endorsement.

  • Containers: tagged releases publish a multi-architecture image to ghcr.io/beepboop2025/financial-evidence-skills. The image runs stdio MCP by default; use --entrypoint financial-evidence for terminal commands.

  • Official MCP Registry: tagged images are published under io.github.beepboop2025/financial-evidence using GitHub OIDC and the image's ownership annotation. No long-lived registry credential is stored.

Optional bounded retrieval

The bundled helper uses only Python's standard library, accepts a fixed topic allowlist and fetches only fixed public HTTPS endpoints:

python3 financial-evidence/scripts/fetch_evidence.py \
  --topic money-market --topic china-economy

It returns one JSON packet with exact and resolved source URLs, retrieval clocks, byte counts, content SHA-256 values, separate product documents and explicit errors. Redirects are rejected before following. Returned JSON is untrusted evidence data, not executable instructions. Missing, restricted or unavailable evidence is never converted to zero or “calm.”

Boundaries

This repository provides public research routing, not investment advice, security recommendations, execution quotes, credit ratings or guarantees. Source publishers retain their rights; an open-source helper does not relicense upstream data.

Support · Privacy · Terms

Development

python3 -m unittest discover -s tests -v
python3 -m py_compile financial-evidence/scripts/fetch_evidence.py src/financial_evidence/*.py

The code and skill instructions are MIT-licensed.

A
license - permissive license
Not graded
quality - not tested
A
maintenance

Maintenance

Maintainers
Response time
0dRelease cycle
4Releases (12mo)
Commit activity

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