Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jwangkun/claude-for-financial-services-cn --skill china-dcf-modelgit clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cnWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-dcf-model)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-dcf-model"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-dcf-model/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-dcf-model"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-dcf-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.00647 |
| Opus 5 | $0.00040 | $0.00324 |
| Sonnet 5 | $0.00016 | $0.00129 |
| Haiku 4.5 | $0.00008 | $0.00065 |
Grade A, and why
china-dcf-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
china-dcf-model
Note: This skill is an alias/wrapper for
china-dcf. For full DCF modeling guidance, seechina-dcf/SKILL.md.
Purpose
Provide access to A股DCF估值 — discounted cash flow valuation adapted for Chinese market parameters.
Quick Reference
Core DCF Parameters (China)
| Parameter | Typical Value | Source |
|---|---|---|
| Risk-free rate | 2.0-3.0% | China 10Y CGB yield |
| Equity risk premium | 6-8% | China-specific |
| Beta | 0.8-1.2 | A-share historical |
| Cost of debt | 3-6% | China corporate bond yields |
| Terminal growth | 3-4% | China GDP long-term |
| Tax rate | 25% (15% for 高新) | CAS |
Key Differences from US DCF
| Aspect | US | China (A-share) |
|---|---|---|
| Risk-free rate | UST 10Y | China 10Y CGB |
| ERP | 5-6% | 6-8% (higher for EM) |
| Terminal growth | 2-3% | 3-4% |
| Tax rate | 21% (federal) | 25% (15% for 高新) |
| Currency | USD | CNY |
| Revenue units | $M | 万元 / 亿元 |
Quick Workflow
- Project FCF — 5-year explicit period
- Calculate WACC — Use China parameters
- Discount FCF — PV of explicit period
- Terminal value — Gordon growth or exit multiple
- Enterprise value — Sum of PVs
- Equity value — EV - Net debt + Minority interest
- Value per share — Equity value / Shares
Common Pitfalls
| Pitfall | China-Specific Fix |
|---|---|
| Using US risk-free rate | Use China 10Y CGB |
| Wrong tax rate | Verify 高新 enterprise status |
| Revenue in USD | Convert to CNY |
| Ignoring 增值税 | Revenue should be net of VAT |
| Western terminal growth | Use 3-4% for China |
For Full Details
See: china-dcf/SKILL.md
Quality Checks
- All parameters China-appropriate
- FCF projections reasonable
- WACC components sourced
- Terminal growth < GDP growth
- Sensitivity analysis included
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 69 lines · 80 tokens per session scan A c54869b895be
china-dcf-model is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (744 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 647 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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