# ValueScope

> ValueScope — alanhewenyu-valuescope. Use this tool when you need to estimate the intrinsic value of stocks across various markets, including A-shares, Hong Kong, US, and Japan. ValueScope solves the problem of inconsistent valuation methods by providing a standardized DCF valuation engine that takes historical data and reasoned assumptions as inputs, producing a value bridge, sensitivity matrix, and reverse DCF as outputs. It is ideal for financial analysts and investors seeking a deterministic and transparent valuation process.

Canonical page: https://skillsregistry.net/skills/alanhewenyu-valuescope  
JSON: https://api.skillsregistry.net/v1/skills/alanhewenyu-valuescope

## Description

Standardized DCF valuation engine for stocks (A-shares, Hong Kong, US, Japan). One run_dcf tool with an analyst-style two-phase flow: baseline valuation from 5-year historicals, then a final valuation with reasoned assumptions — value bridge, sensitivity matrix, reverse DCF. Deterministic: same inputs, same result.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cwi4lkiwb3)
- **Repository:** <https://github.com/alanhewenyu/ValueScope>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alanhewenyu-valuescope"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alanhewenyu-valuescope` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alanhewenyu-valuescope/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt