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 5.5 | $0.00030 | $0.00706 |
| Sonnet 5.5 | $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 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 — 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.
- 1mo 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 (337 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 1,764 once invoked, about $0.0003 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 2026-08-30.
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