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 agentii-ai/agentii-investment-intelligence --skill ddm-valuationgit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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/agentii-ai/agentii-investment-intelligence/ddm-valuation)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/ddm-valuation"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/ddm-valuation/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/agentii-ai/agentii-investment-intelligence/ddm-valuation"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/ddm-valuation.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 | $0.00037 | $0.01419 |
| Opus 5 | $0.00018 | $0.00709 |
| Sonnet 5 | $0.00007 | $0.00284 |
| Haiku 4.5 | $0.00004 | $0.00142 |
Grade A, and why
ddm-valuation 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 6d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dividend Discount Model (DDM)
Multi-stage DDM for mature dividend-paying companies. Values a stock as the present value of all expected future dividends. Especially appropriate for financials (JPM, BAC), utilities (DUK, SO), consumer staples (PG, KO), and REITs — where dividends are the primary mechanism of shareholder returns.
Preflight
Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.
Triggers
- dividend discount model {ticker}
- DDM valuation {ticker}
- dividend growth valuation {ticker}
- Gordon Growth Model {ticker}
- multi-stage DDM {ticker}
- income stock valuation {ticker}
- dividend yield analysis {ticker}
- value {ticker} by dividends
- mature company valuation {ticker}
- dividend-based fair value {ticker}
Defaults
| Parameter | Default | Notes |
|---|---|---|
| stages | 3 | Explicit → Transition → Maturity |
| explicit_years | 5 | Years of explicit dividend forecast |
| transition_years | 5 | Years of declining growth |
| terminal_growth | 2.5% | Long-term perpetual growth (GDP proxy) |
Methodology
Retrieval Scope
structured_only — DDM uses dividend history from XBRL + current price + earnings estimates.
Retrieval Strategy
See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.
Temporal Scope
Default lookback: 4 fiscal quarter(s); maximum: 20. The default balances recency against the trend window this analysis requires.
Tool Allowlist
Per frontmatter allowed_tools:
search_xbrl_facts— primary structured financial facts (is_primary default)get_realtime_quote— latest market price for valuation cross-checkssearch_earnings_calendar— EPS actual/estimate/surprise + report dates
Protocol
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 117 lines · 37 tokens per session scan A 04c6133251f3
ddm-valuation is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 1,419 once invoked, about $0.0002 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 2026-09-05.
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