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 Mathews-Tom/armory --skill feasibility-assessorgit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/feasibility-assessor)<a href="https://agentmods.dev/skills/mathews-tom/armory/feasibility-assessor"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/feasibility-assessor/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/mathews-tom/armory/feasibility-assessor"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/feasibility-assessor.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 | $0.00076 | $0.01764 |
| Opus 5 | $0.00038 | $0.00882 |
| Sonnet 5 | $0.00015 | $0.00353 |
| Haiku 4.5 | $0.00008 | $0.00176 |
Grade A, and why
feasibility-assessor 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 10d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feasibility Assessor
Evaluate business ideas and features across two tracks: financial viability and technical feasibility. Produce an integrated verdict with actionable de-risking recommendations.
Phase 1: Input Classification
Determine the input type:
- Idea pitch: informal description of a concept
- Feature spec: defined requirements for a product addition
- Repo/codebase: existing code to evaluate for extension or pivot
- Business plan: structured document with financials
Extract from the input:
- Value proposition (what problem it solves, for whom)
- Target customer segment
- Pricing intent or revenue model
- Technology stack (stated or implied)
- Competitive landscape awareness
If critical inputs are missing, ask targeted clarifying questions before proceeding. Minimum viable inputs: value proposition and target customer.
Phase 2: Financial Analysis
Reference: references/unit-economics.md, references/financial-viability.md
Skip this phase only when the request is purely technical (e.g., "can we build X with Y stack").
Unit Economics
- Calculate Customer Acquisition Cost (CAC) — fully loaded: marketing spend + sales cost + overhead allocation per acquired customer
- Calculate Customer Lifetime Value (LTV) — ARPU multiplied by average customer lifetime, adjusted for gross margin
- Compute LTV:CAC ratio — minimum viable: 3:1
- Determine contribution margin per unit sold or per customer served
- Calculate payback period — months until cumulative gross profit from a customer exceeds CAC
State every assumption explicitly. Flag assumptions with high sensitivity (small change flips the outcome).
Revenue Modeling
- Identify all revenue streams and size each one
- Assess pricing strategy fit: cost-plus, value-based, competitive, freemium-to-paid
- Apply conversion rate assumptions — use industry benchmarks from reference material
- Model churn and retention — apply cohort decay curves where possible
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.
- 10d ago First seen · 191 lines · 76 tokens per session scan A 2560bc4a91f1
feasibility-assessor is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed 4d ago), licensed MIT. It adds 76 tokens to every session and 1,764 once invoked, about $0.0004 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.
Other skills, from other repositories
dcf-valuation
Discounted cash flow valuation and intrinsic value analysis for public companies. Use when the brief asks for DCF, fair value, intrinsic value, price target, undervalued or overvalued analysis, or "what is this company worth?".
html-ppt-zhangzara-bold-poster
OpenDesign's Series A growth story: the traction curve, the expansion motion, and why it's venture-scale. Built as a decision-grade fundraising pitch deck for Series A partners.
html-ppt-zhangzara-long-table
OpenDesign's unit-economics and BYOK cost model: the assumptions, the sensitivity, and why it scales. Built as a decision-grade data & finance deck for CFO, investors.
huashu-sparkline-arc
OpenDesign's revenue-driver narrative: what actually moves ARR, the leverage points, and the forecast. Built as a decision-grade data & finance deck for board, finance leadership.
earnings-recap
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat…
estimate-analysis
Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for…