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 leecyno1/boutique-skills --skill anthropic-fs-equity-research-sector-overviewgit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/anthropic-fs-equity-research-sector-overview)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-sector-overview"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-sector-overview/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/leecyno1/boutique-skills/anthropic-fs-equity-research-sector-overview"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-sector-overview.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 | $0.00073 | $0.00750 |
| Opus 5.5 | $0.00029 | $0.00300 |
| Sonnet 5.5 | $0.00015 | $0.00150 |
| Haiku 4.5 | $0.00007 | $0.00075 |
Grade A, and why
sector-overview 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.
This is a copy
100% identical to sector-overview — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sector Overview
Workflow
Step 1: Define Scope
- Sector / subsector: What industry and how narrowly defined?
- Purpose: Client report, internal research, pitch material, idea generation
- Depth: High-level overview (5-10 pages) or deep dive (20-30 pages)
- Angle: Neutral landscape vs. thematic thesis (e.g., "AI infrastructure buildout")
- Universe: Public companies only, or include private?
Step 2: Market Overview
Market Size & Growth
- Total addressable market (TAM) with source
- Historical growth rate (5-year CAGR)
- Forecast growth rate and key assumptions
- Market segmentation (by product, geography, end market, customer type)
Industry Structure
- Fragmented vs. consolidated — top 5 market share
- Value chain map — where does value accrue?
- Business model types (subscription, transaction, licensing, services)
- Barriers to entry (capital, regulatory, technical, network effects)
Key Trends & Drivers
- Secular tailwinds (3-5 major trends)
- Headwinds and risks
- Technology disruption vectors
- Regulatory developments
- M&A activity and consolidation trends
Step 3: Competitive Landscape
Company Profiles (for top 5-10 players):
| Company | Revenue | Growth | EBITDA Margin | Market Share | Key Differentiator |
|---|---|---|---|---|---|
For each company, brief profile:
- Business description (2-3 sentences)
- Strategic positioning and moat
- Recent developments (earnings, M&A, product launches)
- Valuation snapshot (P/E, EV/EBITDA, EV/Revenue)
Competitive Dynamics
- How do companies compete? (price, product, service, distribution)
- Who is gaining/losing share and why?
- Disruption risk from new entrants or adjacent players
Step 4: Valuation Context
- Sector trading multiples (current and historical range)
- Premium/discount drivers (growth, margins, market position)
- Recent M&A transaction multiples
- How does the sector compare to the broader market?
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 · 89 lines · 73 tokens per session scan A 8d4b7b47c3fe
sector-overview is a skill published in the GitHub repository leecyno1/boutique-skills (6 stars, last pushed 27d ago), licensed MIT. It adds 73 tokens to every session and 750 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to sector-overview, differing in 0 lines, and is treated as a copy.
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