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-model-updategit 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-model-update)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-model-update"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-model-update/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-model-update"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-equity-research-model-update.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 | $0.00082 | $0.00783 |
| Opus 5 | $0.00041 | $0.00392 |
| Sonnet 5 | $0.00016 | $0.00157 |
| Haiku 4.5 | $0.00008 | $0.00078 |
Grade A, and why
model-update 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 9d 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 model-update — 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Update
Workflow
Step 1: Identify What Changed
Determine the update trigger:
- Earnings release: New quarterly actuals to plug in
- Guidance change: Company updated forward outlook
- Estimate revision: Analyst changing assumptions based on new data
- Macro update: Interest rates, FX, commodity prices changed
- Event-driven: M&A, restructuring, new product, management change
Step 2: Plug New Data
After Earnings
Update the model with reported actuals:
| Line Item | Prior Estimate | Actual | Delta | Notes |
|---|---|---|---|---|
| Revenue | ||||
| Gross Margin | ||||
| Operating Expenses | ||||
| EBITDA | ||||
| EPS | ||||
| [Key metric 1] | ||||
| [Key metric 2] |
Segment Detail (if applicable):
- Update each segment's revenue and margin
- Note any segment mix shifts
Balance Sheet / Cash Flow Updates:
- Cash and debt balances
- Share count (buybacks, dilution)
- Capex actual vs. estimate
- Working capital changes
Step 3: Revise Forward Estimates
Based on the new data, adjust forward estimates:
| Old FY Est | New FY Est | Change | Old Next FY | New Next FY | Change | |
|---|---|---|---|---|---|---|
| Revenue | ||||||
| EBITDA | ||||||
| EPS |
Key Assumption Changes:
- What assumptions are you changing and why?
- Revenue growth rate: old → new (reason)
- Margin assumption: old → new (reason)
- Any new items (restructuring charges, one-time gains, etc.)
Step 4: Valuation Impact
Recalculate valuation with updated estimates:
| Valuation Method | Prior | Updated | Change |
|---|---|---|---|
| DCF fair value | |||
| P/E (NTM EPS × target multiple) | |||
| EV/EBITDA (NTM EBITDA × target multiple) | |||
| Price Target |
Step 5: Summary & Action
Estimate Change Summary:
- One paragraph: what changed, why, and what it means for the stock
- Is this a thesis-changing event or noise?
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.
- 9d ago First seen · 96 lines · 82 tokens per session scan A 62b2256bf3b5
model-update is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 783 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to model-update, differing in 0 lines, and is treated as a copy.
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