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 ololand-ai/ololand-plugins --skill financial-valuationgit clone --depth 1 https://github.com/ololand-ai/ololand-pluginsWrote 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/ololand-ai/ololand-plugins/financial-valuation)<a href="https://agentmods.dev/skills/ololand-ai/ololand-plugins/financial-valuation"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/financial-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/ololand-ai/ololand-plugins/financial-valuation"><img src="https://agentmods.dev/badge/skills/ololand-ai/ololand-plugins/financial-valuation.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 | $0.00036 | $0.01144 |
| Opus 5 | $0.00018 | $0.00572 |
| Sonnet 5 | $0.00007 | $0.00229 |
| Haiku 4.5 | $0.00004 | $0.00114 |
Grade A, and why
financial-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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Valuation Methodology
Deterministic Engines (Not LLM-Generated)
OloLand uses validated computation engines for all financial models. Never generate financial model outputs as prose — use MCP tools.
DCF (Discounted Cash Flow)
- Tool:
get_dcf_valuation(deal_id) - Engine: EBITDA → Free Cash Flow projection (5-10 years) → Terminal value (perpetuity growth) → WACC discount
- WACC: CAPM-calculated (risk-free rate + beta * equity risk premium + size premium)
- Sensitivity: Revenue growth rate vs EBITDA margin vs terminal growth rate
- Unit system:
StrictFinancialValue— ACTUAL dollars in storage, MILLIONS in calculation, Smart B/M/K in display
LBO (Leveraged Buyout)
- Multi-tranche debt: Senior, Mezzanine, Subordinated, Revolver
- Cash sweep ordering: Revenue → Operations → Debt repayment → Equity
- PIK (Payment-in-Kind) toggle per tranche
- Leverage covenants: Total leverage ratio, interest coverage ratio
- Returns: IRR and MOIC at exit under multiple scenarios
Monte Carlo Simulation
- Tool:
run_monte_carlo_simulation(deal_id, n_simulations, seed) - Execution boundary: This tool creates and persists a new simulation. Authority must come from exactly one of these contexts:
- A direct
/valuation <deal_id> run monte-carlo,/valuation <deal_id> refresh monte-carlo,/valuation <deal_id> run all, or/valuation <deal_id> refresh allcall. - The user's explicit invocation of, or unambiguous request to run, a named fixed-purpose workflow whose visible contract declares one Monte Carlo run, currently the public branch only of
/pre-screen,/ic-memo-skeptical, or DD Analyst Full DD mode. That invocation authorizes only the single call, deal, and parameters declared by that workflow; it does not require a second/valuation runphrase. The private/pre-screenbranch authorizes no valuation engine and must remain signal-only until a dedicated governed private-company tool exists.
- A direct
- Auto-loading this skill, routing to an agent, a generic diligence/memo question, a background task, a prior run, or merely recommending Monte Carlo grants no authority. A failed authorized call also grants no automatic retry. When neither context applies, do not call the tool; report that there is no governed Monte Carlo read endpoint.
- Vectorized stochastic engine (not loop-bound)
- Distribution support: Normal, LogNormal, Triangular
- Gaussian copula for correlated variables
- Output: Full EV/equity distribution + P5/P25/P50/P75/P95 + VaR/CVaR
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 · 71 lines · 36 tokens per session scan A bb3d6672b340
financial-valuation is a skill published in the GitHub repository ololand-ai/ololand-plugins (0 stars, last pushed 5d ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,144 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 2026-09-03.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.