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.
curl -O https://raw.githubusercontent.com/tusharagg1/aifolimizer/master/.claude/skills/earnings-analyzer/SKILL.mdgit clone --depth 1 https://github.com/tusharagg1/aifolimizerWrote 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/tusharagg1/aifolimizer/earnings-analyzer)<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.
<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>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 | $0.00066 | $0.01214 |
| Opus 5 | $0.00033 | $0.00607 |
| Sonnet 5 | $0.00013 | $0.00243 |
| Haiku 4.5 | $0.00007 | $0.00121 |
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.
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_historywithticker=TICKER, max_decisions=5- prior actions, outcomes, reflectionsmcp__aifolimizer__get_ticker_reflectionwithsymbol=TICKER, n=3- prior recs + realized alphamcp__aifolimizer__get_cross_ticker_lessonswithmax_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
- Call
mcp__aifolimizer__get_profile- account types and capital. Frame position sizing and tax impact of any pre-earnings trade - Confirm ticker via
mcp__aifolimizer__get_portfolio(or use stock with nearest earnings from get_earnings_calendar) - Call
mcp__aifolimizer__get_earnings_calendar- confirmed next earnings date and days until - Call
mcp__aifolimizer__get_fundamentalswithsymbols=[ticker]- EPS TTM, analyst target price, analyst recommendation - Call
mcp__aifolimizer__get_recent_filingswithticker=ticker, forms=["8-K"]- pre-earnings 8-K events (guidance preannounce, M&A, exec change) that reshape the setup. US-listed only - Call
mcp__aifolimizer__get_finnhub_newswithticker=ticker- news sentiment tally heading into the print (positioning into the event) - Call
mcp__aifolimizer__get_earnings_resultswithsymbols=[ticker], quarters=4- authoritative last-4-quarters EPS estimate/actual/surprise/beat-miss outcome. Do NOT WebSearch this; the MCP serves it. - 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.
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.
- 10d ago First seen · 61 lines · 66 tokens per session scan A 8537ce6da07c
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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