scanner-bullish

scanner-bullish is a skill for Claude Code from staskh/trading_skills. It costs 45 tokens per session (1,199 once invoked), scanned A, original, MIT.

A stock scanner that ranks tickers by bullish trend signals. It checks indicators such as moving averages, RSI, MACD, EMA crossovers, and ADX, which are measures traders use to study momentum and trend strength.

In plain words
What is it for?
Use it to find and rank stocks showing upward momentum over a chosen historical period such as one, three, or six months.
Why use it?
It reduces the work of checking the same technical indicators for many stocks individually. You can provide a list of tickers and select how many results to return.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to find and rank stocks showing upward momentum over a chosen historical period such as one, three, or six months.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/staskh/trading_skills/scanner-bullish
Install

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.

Any agent
npx skills add staskh/trading_skills --skill scanner-bullish
Clone the repo
git clone --depth 1 https://github.com/staskh/trading_skills

Made for: Claude Code.

Wrote 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.

agentmods badge for scanner-bullish

README.md
[![agentmods](https://agentmods.dev/badge/skills/staskh/trading_skills/scanner-bullish/github.svg)](https://agentmods.dev/skills/staskh/trading_skills/scanner-bullish)
Your own site
<a href="https://agentmods.dev/skills/staskh/trading_skills/scanner-bullish"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/scanner-bullish/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.

agentmods 80×15 button for scanner-bullish

Your own site · 80×15
<a href="https://agentmods.dev/skills/staskh/trading_skills/scanner-bullish"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/scanner-bullish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,199 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.01199
Opus 5 $0.00023 $0.00600
Sonnet 5 $0.00009 $0.00240
Haiku 4.5 $0.00005 $0.00120

Measured 11d ago against content hash e0678c0f534d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

scanner-bullish 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/scan.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/scanner-bullish/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bullish Scanner

Scans symbols for bullish trends and ranks them by composite score.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/scan.py SYMBOLS [--top N] [--period PERIOD]

Arguments

  • SYMBOLS - Comma-separated ticker symbols (e.g., AAPL,MSFT,GOOGL,NVDA)
  • --top - Number of top results to return (default: 30)
  • --period - Historical period for analysis: 1mo, 3mo, 6mo (default: 3mo)

Scoring System (max ~9.5 points)

Indicator Condition Points
SMA20 Price > SMA20 +1.0
SMA50 Price > SMA50 +1.0
RSI 50-70 (bullish) +1.0
30-50 (neutral) +0.5
<30 (oversold) +0.25
MACD MACD > Signal +1.0
Histogram rising +0.5
EMA9/21 EMA9 > EMA21 (golden cross) +0.5
EMA9 < EMA21 (death cross) -0.25
Dual crossover Both up, both ≤10 days +1.0
Both up, any age +0.5
Both down, both ≤10 days -1.0
Both down, any age -0.5
Directions conflict -0.5
ADX >25 with +DI > -DI +1.5
+DI > -DI only +0.5
Momentum period return / 20 -1 to +2

Output

Returns JSON with:

  • scan_date - Timestamp of scan
  • symbols_scanned - Total symbols analyzed
  • results - Array sorted by score (highest first):
    • symbol, score, price
    • next_earnings, earnings_timing (BMO/AMC)
    • period_return_pct, pct_from_sma20, pct_from_sma50
    • rsi, macd, macd_signal, macd_hist, adx, dmp, dmn
    • ema9, ema21 — current EMA9 and EMA21 values
    • ema_crossover - Most recent EMA9/EMA21 crossover (or null if none found):
      • direction - "up" (EMA9 crossed above EMA21 = bullish) or "down" (crossed below = bearish)
      • days_ago - Trading days since the crossover bar (0 = happened in the most recent bar)
    • macd_crossover - Most recent MACD crossover (or null if none found):
      • direction - "up" (MACD crossed above signal = bullish) or "down" (crossed below = bearish)
      • days_ago - Trading days since the crossover bar (0 = happened in the most recent bar)
    • signals - List of triggered conditions

Read the full file on GitHub · 109 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 11d ago First seen · 109 lines · 45 tokens per session scan A e0678c0f534d

Subscribe to this mod's changes

scanner-bullish is a skill published in the GitHub repository staskh/trading_skills (363 stars, last pushed 10d ago), licensed MIT. It adds 45 tokens to every session and 1,199 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

find-cpa-firm

Use whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A valuations, R&D tax credits, IPO readiness, sales-and-use tax. Triggers on "find me…

nostrband/ServiceGraph · 238 tokens

clawby-data

Query and analyze real financial data for any asset (US stocks / options / crypto / forex / perps / prediction markets) — quotes, volume, short volume & short interest, borrow fee, dark pool, options chain, Reddit sentiment, OHLC bars, FTDs, dividends & splits, stock screener, company financials & SEC filings (income…

openclawby/openclawby-skills · 215 tokens

second-order-thinking

Think beyond immediate consequences to understand the chain reactions of decisions. Master Howard Marks' investment framework for seeing what others miss. Use when: Strategic decisions where long-term consequences matter; Policy/rule changes that will trigger behavioral responses; Competitive moves to anticipate…

guia-matthieu/clawfu-skills · 82 tokens

forecast-scenarios

Model best-case, worst-case, and likely revenue scenarios with sensitivity analysis for strategic planning. Use when: building financial forecasts; presenting board scenarios; planning headcount around revenue uncertainty; modeling pricing changes impact; preparing investor updates with upside/downside ranges.

guia-matthieu/clawfu-skills · 54 tokens

commission-intelligence

Explain sales commission calculations, resolve discrepancies, and model compensation scenarios for quota planning.

guia-matthieu/clawfu-skills · 19 tokens

pipeline-forecasting

Generate predictive pipeline forecasts with confidence intervals and scenario modeling for revenue planning.

guia-matthieu/clawfu-skills · 18 tokens