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-investment-banking-teasergit 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-investment-banking-teaser)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-investment-banking-teaser"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-investment-banking-teaser/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-investment-banking-teaser"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-investment-banking-teaser.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 | $0.00066 | $0.00648 |
| Opus 5 | $0.00033 | $0.00324 |
| Sonnet 5 | $0.00013 | $0.00130 |
| Haiku 4.5 | $0.00007 | $0.00065 |
Grade A, and why
teaser 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.
This is a copy
100% identical to teaser — 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teaser
Workflow
Step 1: Gather Inputs
- Company description (what they do, how they make money)
- Sector / industry
- Key financial metrics: revenue, EBITDA, growth rate, margins
- Geographic footprint
- Key selling points (3-5 highlights)
- What to anonymize vs. disclose
- Target buyer audience (strategic, financial, or both)
Step 2: Teaser Structure
One page, professionally formatted:
Header
- Deal code name (e.g., "Project [Name]")
- Sector descriptor (e.g., "Leading Specialty Industrial Services Platform")
- "Confidential — For Discussion Purposes Only"
Company Description (2-3 sentences)
- What the company does, without naming it
- Market position (e.g., "a leading provider of...", "a top-3 player in...")
- Geography (region-level, not city-specific)
Investment Highlights (4-6 bullet points)
- Market leadership / positioning
- Revenue quality (recurring %, retention, diversification)
- Growth profile and trajectory
- Margin profile and expansion opportunity
- Management team strength
- Strategic value / synergy potential
Financial Summary (table or key metrics)
| Metric | Value |
|---|---|
| Revenue | $XXM |
| Revenue Growth | XX% CAGR |
| EBITDA | $XXM |
| EBITDA Margin | XX% |
| Employees | XXX |
Transaction Overview (2-3 sentences)
- What's being offered (100% sale, majority stake, growth equity)
- Indicative timeline
- Contact information for expressions of interest
Step 3: Anonymization Check
Ensure the teaser doesn't inadvertently identify the company:
- No company name, brand names, or product names
- No specific city (use region: "Southeast US", "Midwest")
- No named customers or partners
- No employee count if it's too distinctive
- Revenue ranges instead of exact figures if the sector is small
- No logos, screenshots, or identifiable imagery
Step 4: Output
- Word document (.docx) — one page, clean formatting
- PDF version for distribution
- Optional PowerPoint version (single slide)
Important Notes
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 · 81 lines · 66 tokens per session scan A ec6ea35a740c
teaser is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 648 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to teaser, differing in 0 lines, and is treated as a copy.
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