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 market-analyzergit 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/market-analyzer)<a href="https://agentmods.dev/skills/mathews-tom/armory/market-analyzer"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/market-analyzer.svg" alt="Measured on agentmods" 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 | $0.00070 | $0.02115 |
| Opus 5 | $0.00035 | $0.01058 |
| Sonnet 5 | $0.00014 | $0.00423 |
| Haiku 4.5 | $0.00007 | $0.00212 |
Grade A, and why
market-analyzer 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Analyzer
Produces structured market analysis reports: sizes the addressable market using top-down and bottom-up methods, identifies growth trajectories and adoption stages, segments customers, and assesses timing. Every estimate cites a data source or states its assumption explicitly.
Reference Files
| File | Contents | Load When |
|---|---|---|
references/tam-sam-som.md |
TAM/SAM/SOM definitions, calculation formulas, common mistakes | Always |
references/trend-analysis.md |
Trend categorization framework, adoption lifecycle, timing signals | Always |
references/market-sizing.md |
Data sources, estimation techniques, confidence framework | Always |
Prerequisites
- Product, feature, or business idea description
- Target geography (default: global)
- Target customer segment (if known)
Workflow
Phase 1: Input Understanding
- Classify the input — Determine whether the subject is a product idea, feature, market category, or industry vertical.
- Extract key attributes:
- Target customer profile
- Value proposition or core problem solved
- Geography and regulatory jurisdiction
- Price range or monetization model (if known)
- Competitive alternatives
- Clarify gaps — If critical context is missing (target customer, geography, or value proposition), ask 3-5 targeted clarifying questions before proceeding.
Phase 2: Market Research
Use WebSearch to gather quantitative market data:
- Industry reports — Search for market size reports from Statista, Grand View Research, Fortune Business Insights, IBISWorld, and similar aggregators.
- Growth rates — Identify CAGR (Compound Annual Growth Rate) for the relevant market and adjacent segments.
- Funding signals — Search Crunchbase, PitchBook coverage, and venture capital trends in the space.
- Consumer trends — Google Trends data, social media volume, and news sentiment.
- Academic research — Search Semantic Scholar for relevant market studies, adoption research, and behavioral economics papers.
- Government/public data — Census Bureau, BLS, World Bank, OECD datasets for demographic and economic baselines.
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.
- 8d ago First seen · 218 lines · 70 tokens per session scan A 20827ac90af9
market-analyzer is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 2,115 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.
Other skills, from other repositories
openagentskill-registry
Discover, compare, audit, and safely install reusable AI Agent Skills with OpenAgentSkill. Use whenever an agent needs a capability it does not already have, must compare Skill alternatives, or needs evidence before installing third-party instructions.
manager
A session-to-GitHub tracker that creates, updates, and reads issues across repositories, including their labels, parent epics, and project-board placement.
weekly-retro
A structured weekly retrospective for a one-person business run with AI agents. It gathers evidence from code, project tools, and canonical business files, then records findings and outcomes.
art-director
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
html-draft
Use when user wants a standalone HTML diagram in flat engineering blueprint style — architecture diagrams, system flows, technical spec sheets, component maps. Generates one HTML file using Tailwind v4 (browser CDN) for layout and D3 v7 (CDN) for SVG diagrams. User-invoked only — do NOT auto-trigger. Triggers on…
pm-metrics
A product-metrics review aid that examines trends, unusual changes, possible causes, and recommended actions. It can organize a main product metric into lower-level measures, inspect retention and funnels, read A/B tests, and compare results with goals.