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 perniemann/pnCore --skill pn-dcf-modelgit clone --depth 1 https://github.com/perniemann/pnCoreWrote 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/perniemann/pncore/pn-dcf-model)<a href="https://agentmods.dev/skills/perniemann/pncore/pn-dcf-model"><img src="https://agentmods.dev/badge/skills/perniemann/pncore/pn-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/perniemann/pncore/pn-dcf-model"><img src="https://agentmods.dev/badge/skills/perniemann/pncore/pn-dcf-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 | $0.00061 | $0.01342 |
| Opus 5.5 | $0.00024 | $0.00537 |
| Sonnet 5.5 | $0.00012 | $0.00268 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
pn-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 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DCF model
When to use
- Building intrinsic-value context for a coverage initiation, IC memo, or deal fairness frame.
- When trading comps are distorted (no close peers, cyclical trough/peak, structural transition).
- Sensitivity analysis to stress-test acquisition price or exit assumption.
Pre-requisites
Load get_skill("pn-fsi-analyst-discipline") before producing any output. State scope, as-of date, and sources at the top.
Instructions
1. Scope and inputs declaration
Before building, declare:
- Projection period (typically 5 or 10 years; state why).
- Base-year revenue and EBITDA (from filing or user-supplied; cite).
- Working capital and capex intensity assumptions (from historical or industry norm; flag if estimated).
- Tax rate assumption (effective statutory; note deferred tax treatment if material).
If any input is estimated rather than sourced, mark it [est.] in the model and enumerate all [est.] items at the end for reviewer attention.
2. Revenue and margin build
Year-by-year for the projection period:
- Revenue: Base × (1 + growth rate). State growth assumption rationale: analyst consensus, historical CAGR, management guidance, or agent estimate flagged
[est.]. - EBITDA margin: Trajectory from current to terminal margin. State whether margin expansion is assumed and why (operating leverage, mix shift, cost program).
- D&A: As % of revenue or absolute; consistent with capex.
- EBIT = EBITDA – D&A.
3. Free cash flow bridge
For each projection year:
EBIT
– Tax on EBIT (EBIT × effective tax rate)
= NOPAT
+ D&A
– Capex
± Change in net working capital
= Unlevered free cash flow (UFCF)
Present as a table. Flag any year with negative UFCF and note whether it is expected (investment phase) or an assumption gap.
4. WACC
Components:
| Input | Source / Method |
|---|---|
| Risk-free rate | 10-year government bond yield (user-supplied or noted as [est.]) |
| Equity risk premium | Damodaran or user-supplied; cite vintage |
| Beta | Peer-set median unlevered beta, re-levered at target capital structure; or Bloomberg 5-year weekly if available |
| Cost of debt | Current debt coupon or credit spread + risk-free; tax-effected |
| Capital structure | Target D/(D+E) from management guidance or peer median |
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 · 141 lines · 61 tokens per session scan A 8912a1c7172d
pn-dcf-model is a skill published in the GitHub repository perniemann/pnCore (0 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,342 once invoked, about $0.0002 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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