alpacalyzer-algo-trader: Skill for Claude Code

.agents/skills/new-scanner/SKILL.md

new-scanner is a skill for Claude Code, Codex from kimrejstrom/alpacalyzer-algo-trader. It costs 32 tokens per session (817 once invoked), scanned A, original, MIT.

A guide for creating a new data scanner, such as one that reads information from Twitter or Bloomberg. It defines where the scanner and its tests should go and how it should return results.

In plain words
What is it for?
Use it when adding a scanner that finds trading opportunities from external data and connects it to the project’s scanning pipeline.
Why use it?
It gives scanner work a consistent structure and helps avoid missing tests or compatibility with the existing pipeline. It also covers handling failed data requests and duplicate results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is kimrejstrom/alpacalyzer-algo-trader's own configuration. It tells Claude Code and Codex how to work on alpacalyzer-algo-trader itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything alpacalyzer-algo-trader configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kimrejstrom/alpacalyzer-algo-trader. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kimrejstrom/alpacalyzer-algo-trader/main/.agents/skills/new-scanner/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/kimrejstrom/alpacalyzer-algo-trader

Made for: Claude Code, Codex.

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 new-scanner

README.md
[![agentmods](https://agentmods.dev/badge/skills/kimrejstrom/alpacalyzer-algo-trader/new-scanner/github.svg)](https://agentmods.dev/skills/kimrejstrom/alpacalyzer-algo-trader/new-scanner)
Your own site
<a href="https://agentmods.dev/skills/kimrejstrom/alpacalyzer-algo-trader/new-scanner"><img src="https://agentmods.dev/badge/skills/kimrejstrom/alpacalyzer-algo-trader/new-scanner/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 new-scanner

Your own site · 80×15
<a href="https://agentmods.dev/skills/kimrejstrom/alpacalyzer-algo-trader/new-scanner"><img src="https://agentmods.dev/badge/skills/kimrejstrom/alpacalyzer-algo-trader/new-scanner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 817 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.
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 $0.00032 $0.00817
Opus 5.5 $0.00013 $0.00327
Sonnet 5.5 $0.00006 $0.00163
Haiku 4.5 $0.00003 $0.00082

Measured 2mo ago against content hash 077eb2b3df8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

new-scanner 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 2mo 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.

.agents/skills/new-scanner/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scope Constraint

  • Scanner files go in src/alpacalyzer/scanners/{name}_scanner.py
  • Tests go in tests/test_{name}_scanner.py
  • Scanners discover trading opportunities from external data sources

Placeholders

  • <scanner> — lowercase with underscores (e.g., twitter)
  • <Scanner> — PascalCase (e.g., Twitter)

Steps

1. Study the reference implementations

Read these files:

  1. src/alpacalyzer/scanners/reddit_scanner.py — Reddit API integration (PRAW)
  2. src/alpacalyzer/scanners/finviz_scanner.py — web scraping + fundamental filters
  3. src/alpacalyzer/scanners/adapters.py — scanner adapter pattern for pipeline integration

Key patterns: scanners implement the Scanner protocol (or extend BaseScanner ABC) from src/alpacalyzer/pipeline/scanner_protocol.py. They return ScanResult objects containing lists of TopTicker, handle API failures gracefully (return empty results), deduplicate results, and filter invalid symbols.

2. Create scanner file

Create src/alpacalyzer/scanners/<scanner>_scanner.py. Extend BaseScanner from src/alpacalyzer/pipeline/scanner_protocol.py:

from alpacalyzer.pipeline.scanner_protocol import BaseScanner
from alpacalyzer.data.models import TopTicker

class <Scanner>Scanner(BaseScanner):
    def __init__(self):
        super().__init__(name="<scanner>", enabled=True, cache_ttl_seconds=300)

    def _execute_scan(self) -> list[TopTicker]:
        # Fetch data, extract tickers, deduplicate, filter
        # Return [] on failure, never crash
        ...
  • API client initialization (use env vars for keys, never hardcode)
  • _execute_scan() method — fetch data, extract tickers, deduplicate, filter
  • Error handling — BaseScanner.scan() wraps _execute_scan() with timing and error handling automatically

3. Register scanner in pipeline

Create an adapter in src/alpacalyzer/pipeline/scanner_adapters.py following the existing RedditScannerAdapter or SocialScannerAdapter pattern.

Then register the adapter in src/alpacalyzer/pipeline/registry.py via ScannerRegistry. The CLI registers scanners at startup in src/alpacalyzer/cli.py.

Read the full file on GitHub · 88 lines

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. 2mo ago First seen · 88 lines · 32 tokens per session scan A 077eb2b3df8d

Subscribe to this mod's changes

new-scanner is a skill published in the GitHub repository kimrejstrom/alpacalyzer-algo-trader (2 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 817 once invoked, about $0.0001 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 2026-08-31.

Related

new-scanner compared with skills from other repositories

new-scanner next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
new-scannerkimrejstrom/alpacalyzer-algo-traderSkill25mo agoMITA32Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code