aifolimizer: Skill for Claude Code

.claude/skills/momentum-scanner/SKILL.md

momentum-scanner is a skill for Claude Code from tusharagg1/aifolimizer. It costs 72 tokens per session (1,787 once invoked), scanned A, original, MIT.

A portfolio scanner that ranks held stocks by their price performance over the past 12 months and how close they are to their highest price in the past year.

In plain words
What is it for?
Use it to find strong or weak performers, compare holdings, identify stocks near their 52-week high, and review possible trim candidates.
Why use it?
It helps replace a manual review of many holdings with a consistent momentum check.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is tusharagg1/aifolimizer's own configuration. It tells Claude Code how to work on aifolimizer 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 aifolimizer configures →

Part of the aifolimizer plugin — 28 skills, 2 agents shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to tusharagg1/aifolimizer. 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/tusharagg1/aifolimizer/master/.claude/skills/momentum-scanner/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tusharagg1/aifolimizer

Made for: Claude Code.

Or install aifolimizer, the plugin that ships this one along with the rest of its 28 skills, 2 agents.

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 momentum-scanner

README.md
[![agentmods](https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/momentum-scanner/github.svg)](https://agentmods.dev/skills/tusharagg1/aifolimizer/momentum-scanner)
Your own site
<a href="https://agentmods.dev/skills/tusharagg1/aifolimizer/momentum-scanner"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/momentum-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 momentum-scanner

Your own site · 80×15
<a href="https://agentmods.dev/skills/tusharagg1/aifolimizer/momentum-scanner"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/momentum-scanner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,787 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 $0.00072 $0.01787
Opus 5 $0.00036 $0.00894
Sonnet 5 $0.00014 $0.00357
Haiku 4.5 $0.00007 $0.00179

Measured 11d ago against content hash 25a33f7e8e9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

momentum-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 11d 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.

.claude/skills/momentum-scanner/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Momentum Scanner (12-Month Momentum + 52-Week High Effect)

Research basis

Jegadeesh & Titman (1993): Past 12-month winners outperform losers by 12.01% annually. Effect persists independently of beta, size, or industry. Strongest version: skip most-recent month (reversal noise), rank on months 2-12.

George & Hwang (2004): Stocks within 10% of 52-week high earn ~1.23%/month long-short vs stocks far from high. Mechanism: anchoring bias - investors slow to push past prior resistance, so nearness predicts continuation.

Combined signal: High 12m momentum AND near 52wk high = double confirmation. Strongest continuation setup.

Stage 0 - Decision Memory (load FIRST)

Before analysis, load prior decisions so verdicts stay consistent across sessions:

  • mcp__aifolimizer__get_cross_ticker_lessons with max_lessons=3 - portfolio-level win/loss patterns
  • For any name you issue a per-ticker BUY/SELL/TRIM/HOLD on, also load mcp__aifolimizer__get_ticker_decision_history (ticker=…, max_decisions=5) and mcp__aifolimizer__get_ticker_reflection (symbol=…, n=3).

Reconciliation rule: if a prior decision exists and your new read flips it, state explicitly WHY it changed (new data / catalyst / price move). Never silently contradict a logged decision - that drift is exactly what this prevents.

How to run

  1. Call mcp__aifolimizer__get_profile - account types, capital
  2. Call mcp__aifolimizer__get_portfolio - all holdings, current weights
  3. Call mcp__aifolimizer__get_technicals for all held symbols - pct_from_52w_high, pct_from_52w_low, minervini_score, technical_score, trend
  4. Call mcp__aifolimizer__backtest_portfolio with strategy="buy_hold" for 12-month return per symbol
  5. Call mcp__aifolimizer__get_positioning_signals for top 8 holdings - crowding check before any add signal
  6. Call mcp__aifolimizer__get_factor_snapshot - is the MOMENTUM FACTOR itself working? Mom trailing-252d positive = regime tailwind for this whole scan; negative = momentum regime weak, downgrade all continuation conviction one notch
  7. Call mcp__aifolimizer__get_search_interest with keywords=[top 3-5 momentum names] - search-demand confirmation. Rising interest + price momentum = retail fuel; but cross with crowding (surge + consensus = late-stage, suppress add)

Read the full file on GitHub · 107 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. 11d ago First seen · 107 lines · 72 tokens per session scan A 25a33f7e8e9e

Subscribe to this mod's changes

momentum-scanner is a skill published in the GitHub repository tusharagg1/aifolimizer (2 stars, last pushed 9d ago), licensed MIT. It adds 72 tokens to every session and 1,787 once invoked, about $0.0004 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 2026-08-31.

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