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 luiseiman/dotforge --skill screengit clone --depth 1 https://github.com/luiseiman/dotforgeWrote 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/luiseiman/dotforge/screen)<a href="https://agentmods.dev/skills/luiseiman/dotforge/screen"><img src="https://agentmods.dev/badge/skills/luiseiman/dotforge/screen/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/luiseiman/dotforge/screen"><img src="https://agentmods.dev/badge/skills/luiseiman/dotforge/screen.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 | $0.00051 | $0.00744 |
| Opus 5.5 | $0.00020 | $0.00298 |
| Sonnet 5.5 | $0.00010 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00074 |
Grade A, and why
screen 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Screener
Surface investment ideas via quantitative screens or thematic sweeps.
Step 1: Define Screen
If user provides criteria, use them. Otherwise ask:
- Market: AR (BYMA panel general/lider, CEDEARs) / US / Both
- Direction: Long / Short / Both
- Style: Value / Growth / Momentum / Income / Quality
- Sector/Theme: (optional) specific sector or thematic filter
- Size: Large / Mid / Small / Any
- Constraints: (optional) liquidity minimums, max P/E, min dividend, etc.
Step 2: Quantitative Screen
Apply filters based on style:
Value: P/E < sector median, P/B < 1.5, EV/EBITDA below peers, FCF yield > 5% Growth: Revenue growth > 15% YoY, EPS growth > 20%, expanding margins Momentum: Price > 50-day MA > 200-day MA, RSI 50-70, positive earnings revisions Income: Dividend yield > 3%, payout ratio < 70%, dividend growth > 5% CAGR Quality: ROE > 15%, debt/equity < 1.0, consistent earnings (no losses in 5yr)
AR-specific filters:
- CEDEARs: check premium/discount vs ADR parity — flag opportunities where discount > 5%
- BYMA local: volume filter (>$1M ARS daily), exclude penny stocks
- Bonds: TIR vs inflation expectations, duration bucket, credit quality
Step 3: Results Table
| # | Ticker | Name | Market | Price | Key Metric 1 | Key Metric 2 | Key Metric 3 | Signal |
|---|---|---|---|---|---|---|---|---|
Step 4: Quick Thesis for Top 3-5
For each top idea, provide:
- Why it passes: 2-3 sentences on what the screen caught
- Bull case: best scenario in 1 sentence
- Bear case: worst scenario in 1 sentence
- Catalyst: what could move it in next 3-6 months
- Risk: primary risk factor
Step 5: Output
═══ SCREEN: [criteria summary] ═══
Market: [AR/US/Both]
Style: [value/growth/momentum/income/quality]
Results: [N] names passed filters
Date: [today]
[Results table]
TOP IDEAS:
1. [TICKER] — [one-liner thesis]
2. [TICKER] — [one-liner thesis]
3. [TICKER] — [one-liner thesis]
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 · 74 lines · 51 tokens per session scan A fb7644f81a5e
screen is a skill published in the GitHub repository luiseiman/dotforge (8 stars, last pushed 9d ago), licensed MIT. It adds 51 tokens to every session and 744 once invoked, about $0.0002 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 2026-09-03.
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