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-value-creation-plangit 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-value-creation-plan)<a href="https://agentmods.dev/skills/jwangkun/claude-for-financial-services-cn/china-value-creation-plan"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-value-creation-plan/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-value-creation-plan"><img src="https://agentmods.dev/badge/skills/jwangkun/claude-for-financial-services-cn/china-value-creation-plan.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 | $0.01745 |
| Opus 5.5 | $0.00032 | $0.00698 |
| Sonnet 5.5 | $0.00016 | $0.00349 |
| Haiku 4.5 | $0.00008 | $0.00175 |
Grade A, and why
china-value-creation-plan 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
china-value-creation-plan
Purpose
Develop A股投后价值提升计划 — structured value creation roadmaps for China-focused portfolio companies.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_quote(ticker) → Current valuation
get_financials(ticker, "income") → Financial baseline
get_industry_stocks(industry="...") → Peer benchmarks
Secondary Sources
- 巨潮 — company filings
- 券商研报 — sector analysis
- Wind / Choice — operational data
Workflow
Step 1: Baseline Assessment
Current state analysis:
| Dimension | Current State | Gap to Best-in-Class |
|---|---|---|
| Revenue growth | [X%] | [X%] |
| Gross margin | [X%] | [X%] |
| EBITDA margin | [X%] | [X%] |
| ROE | [X%] | [X%] |
| Working capital | [X days] | [X days] |
| Capex efficiency | [X% of rev] | [X% of rev] |
Step 2: Identify Value Creation Levers
Standard levers (adapted for China):
| Lever | Description | Typical Impact | Timeline |
|---|---|---|---|
| 营收增长 | Organic growth acceleration | 20-50% revenue uplift | 12-36 months |
| 毛利率优化 | Pricing, mix, cost reduction | 300-800 bps | 6-18 months |
| 运营效率 | Working capital, OpEx | 100-300 bps margin | 6-18 months |
| 渠道拓展 | New channels, geographies | 15-30% revenue | 12-24 months |
| 并购整合 | Add-on acquisitions | 20-50% value | 12-36 months |
| 成本优化 | Headcount, procurement | 10-20% OpEx | 6-12 months |
| 数字化 | Digital transformation | 20-40% efficiency | 12-36 months |
| 品牌升级 | Premium positioning | 10-20% pricing | 12-24 months |
| 国际化 | Overseas expansion | New growth vector | 24-48 months |
| 资本运作 | Refinancing, restructuring | Cost savings | 6-12 months |
Step 3: 100-Day Plan
First 100 days post-close:
| Week | Priority | Action | Expected Outcome |
|---|---|---|---|
| 1-2 | Management alignment | Management calls, strategy session | Aligned priorities |
| 3-4 | Financial deep dive | Detailed financial analysis | Identified quick wins |
| 5-8 | Operational assessment | Site visits, process review | Improvement roadmap |
| 9-12 | Quick wins execution | Low-hanging fruit | Early wins, momentum |
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.
- 1mo ago First seen · 194 lines · 80 tokens per session scan A 7367e8fa1a43
china-value-creation-plan is a skill published in the GitHub repository jwangkun/claude-for-financial-services-cn (844 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,745 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
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