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 skloxo/TideTrading --skill valuation-modelgit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/valuation-model)<a href="https://agentmods.dev/skills/skloxo/tidetrading/valuation-model"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/valuation-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/skloxo/tidetrading/valuation-model"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/valuation-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00046 | $0.02711 |
| Opus 5.5 | $0.00018 | $0.01084 |
| Sonnet 5.5 | $0.00009 | $0.00542 |
| Haiku 4.5 | $0.00005 | $0.00271 |
Grade A, and why
valuation-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 2mo 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.
This is a copy
100% identical to valuation-model — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Valuation Methodology
Overview
Systematic corporate valuation framework covering absolute valuation (DCF / DDM / SOTP) and relative valuation (PE / PB / EV-EBITDA), including sensitivity-analysis methods and a checklist for identifying valuation traps.
Absolute Valuation Methods
1. DCF (Discounted Cash Flow)
Core formulas:
Enterprise value = Σ FCF_t / (1+WACC)^t + TV / (1+WACC)^n
Equity value = enterprise value - net debt
Per-share value = equity value / total shares outstanding
Detailed steps:
Step 1: Forecast free cash flow (usually 5 years)
FCFF = EBIT × (1-tax rate) + depreciation & amortization - capex - increase in working capital
Simplified version:
FCFF ≈ operating cash flow - capex
| Year | Revenue (100m RMB) | EBIT (100m RMB) | FCFF (100m RMB) | Growth |
|---|---|---|---|---|
| 2026E | 120 | 24 | 18 | +15% |
| 2027E | 138 | 28 | 21 | +15% |
| 2028E | 155 | 31 | 24 | +12% |
| 2029E | 170 | 34 | 26 | +10% |
| 2030E | 182 | 36 | 28 | +7% |
Step 2: Calculate WACC
WACC = E/(D+E) × Ke + D/(D+E) × Kd × (1-T)
Ke (cost of equity) = Rf + β × (Rm - Rf)
- Rf: 10-year government bond yield (about 2.5% for China A-shares)
- β: industry average or company beta (1.0-1.5)
- Rm-Rf: equity risk premium (about 5-7% for China A-shares)
Kd: cost of debt (loan rate, about 4-5%)
T: income tax rate (25%)
Reference WACC ranges for China A-shares:
| Industry | WACC Range | Reference β |
|---|---|---|
| Consumer | 8-10% | 0.8-1.0 |
| Technology | 10-13% | 1.2-1.5 |
| Financials | 7-9% | 1.0-1.2 |
| Cyclicals | 9-12% | 1.0-1.4 |
| Utilities | 6-8% | 0.5-0.8 |
Step 3: Terminal Value
Perpetual-growth method: TV = FCF_n × (1+g) / (WACC - g)
- g: perpetual growth rate (usually 2-3%, should not exceed GDP growth)
Exit-multiple method: TV = EBITDA_n × EV/EBITDA multiple
- Reference the industry average or historical median
Step 4: Sensitivity Analysis
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.
- 2mo ago First seen · 261 lines · 46 tokens per session scan A 526d4216d5bc
valuation-model is a skill published in the GitHub repository skloxo/TideTrading (14 stars, last pushed 7d ago), licensed MIT. It adds 46 tokens to every session and 2,711 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to valuation-model, differing in 0 lines, and is treated as a copy.
valuation-model compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| valuation-modelskloxo/TideTrading | Skill | 14 | 7d ago | MIT | A | 46 | Claude Code, Codex |
| daily-deep-briefKCNyu/clawock | Skill | 23 | yesterday | MIT | A | 163 | Claude Code, Codex |
| hk-stock-analysisKCNyu/clawock | Skill | 23 | yesterday | MIT | A | 126 | Claude Code, Codex |
| us-stock-analysisKCNyu/clawock | Skill | 23 | yesterday | MIT | A | 97 | Claude Code, Codex |
| portfolio-swarm-reviewKCNyu/clawock | Skill | 23 | yesterday | MIT | A | 90 | Claude Code, Codex |
| investment-decisionKCNyu/clawock | Skill | 23 | yesterday | MIT | A | 62 | Claude Code, Codex |
| entry-gateKCNyu/clawock | Skill | 23 | yesterday | MIT | A | 109 | Claude Code, Codex |