Individual skill

peer-readacross

Compare two tickers and surface the cross-read between them using the AlphaAI MCP. Use when the user asks to "compare X and Y", "NVDA vs AMD", "what does <peer>'s news mean for <ticker>", or wants the read-across between two related names (competitors, supplier/customer, same theme).

plugins/alphai/skills/peer-readacross/SKILL.md

Read pinned source

Source commit 5bd4f168edf7c18a8303cbfde20708ff62aabc4d

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
998
Repository last updated
Aug 12, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Peer read-across

When two names are linked — competitors, a supplier and its customer, two plays
on one theme — the interesting signal is the **read-across**: a peer's print that
resets the other's setup. `alphai_pair_analysis` is built for exactly this.

## Steps

1. **Resolve both tickers.** If given company names, map them with
   `alphai_tickers(q=...)`. Any symbol that isn't a recognized active ticker
   comes back in `unknown_tickers` and contributes no rows — surface that.
2. **Run the comparison.** Call `alphai_pair_analysis(ticker_a, ticker_b)`. It
   returns three things: news naming **both** companies (the shared read-across),
   plus each ticker's **own** recent news for context.