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.
git clone --depth 1 https://github.com/Dokkabei97/forged-claude-codeWrote 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/commands/dokkabei97/forged-claude-code/runway-calculator)<a href="https://agentmods.dev/commands/dokkabei97/forged-claude-code/runway-calculator"><img src="https://agentmods.dev/badge/commands/dokkabei97/forged-claude-code/runway-calculator/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/commands/dokkabei97/forged-claude-code/runway-calculator"><img src="https://agentmods.dev/badge/commands/dokkabei97/forged-claude-code/runway-calculator.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 | $0.00021 | $0.01089 |
| Opus 5 | $0.00010 | $0.00544 |
| Sonnet 5 | $0.00004 | $0.00218 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
runway-calculator 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 8d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/runway-calculator - Startup Runway Calculator
Triggers
- When assessing how long the company can survive
- Before fundraising to understand urgency
- When making budget decisions (hire vs defer)
- Monthly financial health check
Usage
/runway-calculator
/runway-calculator --cash 500000 --burn 50000 --revenue 10000
/runway-calculator --scenario # Multi-scenario analysis
Behavioral Flow
Phase 1: Input Collection
Gather financial data (prompt user or accept parameters):
Required:
- Cash on hand: $[amount]
- Monthly burn rate: $[amount] (total expenses)
- Monthly revenue: $[amount] (if any)
Optional:
- Revenue growth rate: [%] per month
- Expected funding: $[amount] in [N] months
- Planned hires: [N] people × $[cost] starting [month]
Phase 2: Calculate Base Runway
Net Burn = Monthly Burn - Monthly Revenue
Runway (months) = Cash / Net Burn
Example:
Cash: $500,000
Burn: $50,000/month
Revenue: $10,000/month
Net Burn: $40,000/month
Runway: 12.5 months
Phase 3: Scenario Analysis
# Runway Analysis — YYYY-MM-DD
## Current Position
| Metric | Value |
|--------|-------|
| Cash on Hand | $[N] |
| Monthly Burn | $[N] |
| Monthly Revenue | $[N] |
| Net Burn | $[N] |
| **Runway** | **[N] months ([date])** |
## Scenario Comparison
| Scenario | Runway | Cash-Out Date | Key Assumption |
|----------|--------|---------------|----------------|
| 🟢 **Optimistic** | [N] mo | [date] | Revenue grows [X]% MoM |
| 🟡 **Base Case** | [N] mo | [date] | Current trajectory |
| 🔴 **Pessimistic** | [N] mo | [date] | Revenue drops [X]%, burn +[Y]% |
| 💀 **Zero Revenue** | [N] mo | [date] | All revenue stops |
## Monthly Projection
| Month | Revenue | Burn | Net Burn | Cash Balance |
|-------|---------|------|----------|--------------|
| [M1] | $[N] | $[N] | $[N] | $[N] |
| [M2] | $[N] | $[N] | $[N] | $[N] |
| ... | ... | ... | ... | ... |
| [MN] | $[N] | $[N] | $[N] | $0 ← ⚠️ |
## Decision Framework
### If Runway < 6 months:
🔴 **URGENT** — Start fundraising NOW or cut costs
- Fundraising typically takes 3-6 months
- Options: raise, cut burn, accelerate revenue
### If Runway 6-12 months:
🟡 **PLAN** — Begin fundraising prep
- Build investor pipeline
- Hit key milestones for better valuation
- Consider bridge round if needed
### If Runway > 12 months:
🟢 **COMFORTABLE** — Focus on growth
- Invest in growth initiatives
- Don't get complacent (burn discipline)
## Cost Reduction Levers
| Action | Monthly Savings | Impact |
|--------|----------------|--------|
| [e.g., Defer hire #3] | $[N] | +[N] months runway |
| [e.g., Switch to cheaper cloud] | $[N] | +[N] months runway |
| [e.g., Reduce marketing spend] | $[N] | +[N] months runway |
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.
- 8d ago First seen · 151 lines · 21 tokens per session scan A 1d0f53f334a1
runway-calculator is a command published in the GitHub repository Dokkabei97/forged-claude-code (2 stars, last pushed 6mo ago), licensed MIT. It adds 21 tokens to every session and 1,089 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
cost-report
Generate a local Claude Code cost report from the ECC cost-tracker metrics log.
cost-optimize
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, GCP, and OCI. Where provider-specific code appears below, adapt…
str-revenue
Short-term rental revenue projection — estimate Airbnb/VRBO income with seasonal modeling.
legal-payment
Payment integration and subscription management.
archive-ledger
../../../shared/commands/archive-ledger.md.
mindforge:fintech
Design fintech payment/ledger architecture. Usage: /mindforge:fintech [service] [--domain payments|ledger|kyc] [--compliance pci|sox].