Open Agent Skill routing money-market, capital-market, bank-risk, market-liquidity and China-economy research to bounded public evidence.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
/plugin marketplace add beepboop2025/financial-evidence-skills
/plugin install financial-evidence-skillsPlugins overview
# Financial Evidence Agent Skills
[](https://skills.sh/beepboop2025/financial-evidence-skills/financial-evidence)
[Public documentation](https://beepboop2025.github.io/financial-evidence-skills/)
includes a crawlable integration matrix plus agent-readable `llms.txt`, pricing,
integration metadata, and a dated
[third-party marketplace ledger](MARKETPLACE_STATUS.md).
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
```bash
npx skills add beepboop2025/financial-evidence-skills --skill financial-evidence
```
Or copy [`financial-evidence/`](financial-evidence/) into the Agent Skills
directory supported by your agent. The folder follows the open
[Agent Skills specification](https://agentskills.io/specification).
The skill is also indexed in the public
[skills.sh directory](https://skills.sh/beepboop2025/financial-evidence-skills/financial-evidence).
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.
## Use from any terminal
No account or API key is required. On macOS or Linux with Homebrew:
```bash
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:
```bash
uvx --from git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.4 \
financial-evidence fetch --topic money-market --topic china-economy
```
Or install it as a persistent command:
```bash
uv tool install git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.4
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:
```bash
financial-evidence completion zsh > ~/.zfunc/_financial-evidence
```
## Use as MCP infrastructure
The public Streamable HTTP endpoint requires no local install, account, or API
key:
```text
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 root [`.mcp.json`](.mcp.json) is the
portable plugin configuration for that public remote:
```json
{
"mcpServers": {
"financial-evidence": {
"type": "http",
"url": "https://liquilens.in/mcp/financial-evidence"
}
}
}
```
The package also includes a dependency-free stdio server for local or
offline-compatible client setups. Its pinned configuration is in
[`integrations/mcp-config.json`](integrations/mcp-config.json). Both transports
accept the MCP `2025-11-25` initialization flow and the stateless `2026-07-28`
discovery flow. Local stdio messages use newline-delimited JSON-RPC; 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`](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:
```bash
gemini extensions install https://github.com/beepboop2025/financial-evidence-skills \
--ref v0.1.4
```
Claude Code can add this repository as a self-hosted marketplace and install
the bundled plugin:
```bash
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` public remote 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:
```bash
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`](OPENAI_PLUGIN_SUBMISSION.md) for the
listing copy and required positive and negative tests.
The root `.mcp.json` is the portable plugin form for the public remote MCP
server. VS Code and Cursor retain separate workspace files for the pinned local
stdio server, so plugin installs do not depend on a local Python process while
editor workspaces can still use one.
### Install in VS Code or Cursor
The repository also includes editor-specific workspace configuration:
[`.vscode/mcp.json`](.vscode/mcp.json) uses VS Code's top-level `servers`
object, while [`.cursor/mcp.json`](.cursor/mcp.json) uses Cursor's top-level
`mcpServers` object. Both launch the same v0.1.4 stdio server through `uvx`.
VS Code can install the server through its protocol handler:
```text
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%40v0.1.4%22%2C%22financial-evidence-mcp%22%5D%7D
```
Or add it to your VS Code user profile from a terminal:
```bash
code --add-mcp '{"name":"financial-evidence","type":"stdio","command":"uvx","args":["--from","git+https://github.com/beepboop2025/financial-evidence-skills.git@v0.1.4","financial-evidence-mcp"]}'
```
Cursor can install the same configuration through its base64-encoded deeplink:
```text
cursor://anysphere.cursor-deeplink/mcp/install?name=financial-evidence&config=eyJ0eXBlIjoic3RkaW8iLCJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJnaXQraHR0cHM6Ly9naXRodWIuY29tL2JlZXBib29wMjAyNS9maW5hbmNpYWwtZXZpZGVuY2Utc2tpbGxzLmdpdEB2MC4xLjQiLCJmaW5hbmNpYWwtZXZpZGVuY2UtbWNwIl19
```
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-0.1.4.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`](integrations/duckdb/financial_evidence.sql)
to create separate HTTP-backed views for all four products.
- **Excel / Power Query:** paste
[`integrations/excel/FinancialEvidence.pq`](integrations/excel/FinancialEvidence.pq)
into Advanced Editor and invoke, for example,
`FinancialEvidence("money-market")`.
- **FDC3:**
the public [Financial Evidence Inspector](https://beepboop2025.github.io/financial-evidence-skills/integrations/fdc3/evidence-inspector/)
receives and broadcasts declared standard contexts through `window.fdc3`.
[`integrations/fdc3/appd-record.json`](integrationsWhat people ask about financial-evidence-skills
What is beepboop2025/financial-evidence-skills?
+
beepboop2025/financial-evidence-skills is plugins for the Claude AI ecosystem. Open Agent Skill routing money-market, capital-market, bank-risk, market-liquidity and China-economy research to bounded public evidence. It has 1 GitHub stars and its last recorded update is dated 2026-08-24.
How do I install financial-evidence-skills?
+
You can install financial-evidence-skills by cloning the repository (https://github.com/beepboop2025/financial-evidence-skills) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is beepboop2025/financial-evidence-skills safe to use?
+
Our security agent has analyzed beepboop2025/financial-evidence-skills and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains beepboop2025/financial-evidence-skills?
+
beepboop2025/financial-evidence-skills is maintained by beepboop2025. The last recorded GitHub activity is dated 2026-08-24, with 0 open issues.
Are there alternatives to financial-evidence-skills?
+
Yes. On ClaudeWave you can browse similar plugins at /categories/plugins, sorted by popularity or recent activity.
Deploy financial-evidence-skills to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/beepboop2025-financial-evidence-skills)<a href="https://claudewave.com/repo/beepboop2025-financial-evidence-skills"><img src="https://claudewave.com/api/badge/beepboop2025-financial-evidence-skills" alt="Featured on ClaudeWave: beepboop2025/financial-evidence-skills" width="320" height="64" /></a>More Plugins
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Create beautiful slides on the web using a coding agent's frontend skills
A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.