aifolimizer: Skill for Claude Code

.claude/skills/earnings-analyzer/SKILL.md

earnings-analyzer is a skill for Claude Code from tusharagg1/aifolimizer. It costs 66 tokens per session (1,214 once invoked), scanned A, original, MIT.

A tool for analysing a company’s upcoming earnings announcement for a stock. It uses past decisions, portfolio information, company data, and market information to inform the analysis.

In plain words
What is it for?
It can check the portfolio and account context, confirm the next earnings date, review company fundamentals, and assess questions such as the expected price move or holding through earnings.
Why use it?
It helps organise the information needed when deciding whether to keep or change a position before earnings, including consistency with earlier decisions.

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/earnings-analyzer/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 earnings-analyzer

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tusharagg1/aifolimizer/earnings-analyzer"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/earnings-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,214 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 $0.00066 $0.01214
Opus 5 $0.00033 $0.00607
Sonnet 5 $0.00013 $0.00243
Haiku 4.5 $0.00007 $0.00121

Measured 10d ago against content hash 8537ce6da07c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

earnings-analyzer 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 10d 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/earnings-analyzer/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Earnings Analyzer (JPMorgan style)

Stage 0 - Decision Memory (load BEFORE forming any verdict)

Before fetching market data, load prior decisions on this ticker so the verdict stays consistent across sessions:

  • mcp__aifolimizer__get_ticker_decision_history with ticker=TICKER, max_decisions=5 - prior actions, outcomes, reflections
  • mcp__aifolimizer__get_ticker_reflection with symbol=TICKER, n=3 - prior recs + realized alpha
  • mcp__aifolimizer__get_cross_ticker_lessons with max_lessons=3 - portfolio-level win/loss patterns

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 and capital. Frame position sizing and tax impact of any pre-earnings trade
  2. Confirm ticker via mcp__aifolimizer__get_portfolio (or use stock with nearest earnings from get_earnings_calendar)
  3. Call mcp__aifolimizer__get_earnings_calendar - confirmed next earnings date and days until
  4. Call mcp__aifolimizer__get_fundamentals with symbols=[ticker] - EPS TTM, analyst target price, analyst recommendation
  5. Call mcp__aifolimizer__get_recent_filings with ticker=ticker, forms=["8-K"] - pre-earnings 8-K events (guidance preannounce, M&A, exec change) that reshape the setup. US-listed only
  6. Call mcp__aifolimizer__get_finnhub_news with ticker=ticker - news sentiment tally heading into the print (positioning into the event)
  7. Call mcp__aifolimizer__get_earnings_results with symbols=[ticker], quarters=4 - authoritative last-4-quarters EPS estimate/actual/surprise/beat-miss outcome. Do NOT WebSearch this; the MCP serves it.
  8. WebSearch ONLY for what no MCP tool serves: options-implied move for earnings day (CBOE / broker IV), upcoming-quarter consensus EPS/revenue if absent from get_fundamentals, and qualitative management guidance from the last call.

Read the full file on GitHub · 61 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. 10d ago First seen · 61 lines · 66 tokens per session scan A 8537ce6da07c

Subscribe to this mod's changes

earnings-analyzer is a skill published in the GitHub repository tusharagg1/aifolimizer (2 stars, last pushed 8d ago), licensed MIT. It adds 66 tokens to every session and 1,214 once invoked, about $0.0003 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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