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.
curl -O https://raw.githubusercontent.com/kimrejstrom/alpacalyzer-algo-trader/main/.agents/skills/new-scanner/SKILL.mdgit clone --depth 1 https://github.com/kimrejstrom/alpacalyzer-algo-traderWrote 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/kimrejstrom/alpacalyzer-algo-trader/new-scanner)<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.
<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>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 | $0.00032 | $0.00817 |
| Opus 5.5 | $0.00013 | $0.00327 |
| Sonnet 5.5 | $0.00006 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00082 |
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.
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:
src/alpacalyzer/scanners/reddit_scanner.py— Reddit API integration (PRAW)src/alpacalyzer/scanners/finviz_scanner.py— web scraping + fundamental filterssrc/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.
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.
- 2mo ago First seen · 88 lines · 32 tokens per session scan A 077eb2b3df8d
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.
new-scanner compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-scannerkimrejstrom/alpacalyzer-algo-trader | Skill | 2 | 5mo ago | MIT | A | 32 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |