codexkit-fpa-rolling-forecast

codexkit-fpa-rolling-forecast is a skill for Claude Code, Codex from hoavdc/CodexKit. It costs 68 tokens per session (1,313 once invoked), scanned A, original, MIT.

A continuously updated financial forecast covering the next 12–18 months. It replaces completed periods with actual results and estimates the remaining and newly added periods.

In plain words
What is it for?
Updating monthly or quarterly projections, incorporating actual accounting results, testing business assumptions, extending the planning period, and creating a bridge from the old forecast to the new one.
Why use it?
It avoids relying on a fixed annual budget that quickly becomes outdated when results or assumptions change. It also shows what caused the forecast to move.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/hoavdc/codexkit/codexkit-fpa-rolling-forecast
Any agent
npx skills add hoavdc/CodexKit --skill codexkit-fpa-rolling-forecast
Clone the repo
git clone --depth 1 https://github.com/hoavdc/CodexKit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for codexkit-fpa-rolling-forecast

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoavdc/codexkit/codexkit-fpa-rolling-forecast.svg)](https://agentmods.dev/skills/hoavdc/codexkit/codexkit-fpa-rolling-forecast)
Your own site
<a href="https://agentmods.dev/skills/hoavdc/codexkit/codexkit-fpa-rolling-forecast"><img src="https://agentmods.dev/badge/skills/hoavdc/codexkit/codexkit-fpa-rolling-forecast.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,313 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00068 $0.01313
Opus 5 $0.00034 $0.00656
Sonnet 5 $0.00014 $0.00263
Haiku 4.5 $0.00007 $0.00131

Measured 5d ago against content hash ba97fb349042, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codexkit-fpa-rolling-forecast 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 5d 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.

skills/codexkit-fpa-rolling-forecast/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rolling Forecast Builder

When to Use

  • Monthly or quarterly when updating financial projections
  • When replacing static annual budgets with continuous planning
  • When management needs a forward-looking 12–18 month view at all times
  • When actuals deviate significantly and re-forecasting is required

Procedure

Step 1 — Lock Actuals

  1. Import actuals for completed periods from the ERP or accounting system
  2. Freeze these periods — no further edits allowed
  3. Calculate YTD variance vs prior forecast for each line item

Step 2 — Reforecast Remaining Periods

  1. For each P&L line, update the driver assumptions:
    • Revenue: units × price, or pipeline × conversion rate
    • COGS: volume × unit cost, or % of revenue
    • OpEx: headcount × avg cost, or run-rate with known changes
  2. Apply known one-time items (restructuring, capex, etc.)
  3. Document every assumption change vs prior forecast

Step 3 — Extend Horizon

  1. Add new periods to maintain the 12–18 month rolling window
  2. Use trailing actuals + seasonality patterns to seed new periods
  3. Flag any new periods with lower confidence level

Step 4 — Sensitize Scenarios

  1. Apply Base / Bull / Bear assumptions to key drivers
  2. Show range around the forecast (not a single number)

Step 5 — Generate Waterfall Bridge

  1. Start with Prior Forecast for the full period
  2. Add variance buckets: Volume | Price/Mix | Timing | Cost | FX | One-offs
  3. Arrive at New Forecast
  4. Summarize the top 5 variance drivers in narrative form

Inputs

Input Required Format
Actuals YTD Yes P&L by month
Prior forecast Yes P&L by month for forecast period
Driver assumptions updates Yes Line-by-line changes with rationale
Seasonality pattern Recommended Historical % distribution by month

Output

## Rolling Forecast — [Period] Update

### P&L Summary (in $000s)

| Line | YTD Actual | Remaining Forecast | Full Year | vs Prior | Δ% |
|------|-----------|-------------------|-----------|---------|-----|
| Revenue | 12,400 | 19,200 | 31,600 | +1,600 | +5.3% |
| COGS | (5,200) | (8,100) | (13,300) | (400) | +3.1% |
| Gross Profit | 7,200 | 11,100 | 18,300 | +1,200 | +7.0% |
| OpEx | (4,800) | (7,600) | (12,400) | (200) | +1.6% |
| EBITDA | 2,400 | 3,500 | 5,900 | +1,000 | +20.4% |

### Waterfall Bridge (Revenue)

Prior Forecast: $30,000
  + Volume: +$800 (higher unit sales in Q3)
  + Price/Mix: +$500 (premium tier adoption)
  + Timing: +$300 (deal pulled forward)
  = New Forecast: $31,600

### Assumption Log

| Driver | Prior | New | Rationale |
|--------|-------|-----|-----------|
| Q3 unit sales | 1,200 | 1,350 | Pipeline confirmed |
| Premium mix | 15% | 18% | Q2 trend extrapolated |
| Headcount | 45 | 47 | 2 new hires approved |

### Confidence Level: HIGH (months 1–6) / MEDIUM (months 7–12) / LOW (months 13–18)

Read the full file on GitHub · 140 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 5d ago First seen · 140 lines · 68 tokens per session scan A ba97fb349042

Subscribe to this mod's changes

codexkit-fpa-rolling-forecast is a skill published in the GitHub repository hoavdc/CodexKit (21 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 1,313 once invoked, about $0.0003 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 2026-08-30.

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