How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

earnings-snapshot - Skill - OpenSmartRoute

Name: earnings-snapshot
Author: lyncos

Imported from lyncos/docs-kb (agentcore/references/repos/agentcore-samples/02-use-cases/01-conversational-agents/market-trends-agent/skills/earnings-snapshot/SKILL.md). Install upstream with npx skills add lyncos/docs-kb --skill earnings-snapshot. Copyright stays with the author.

Earnings Snapshot Skill

Use this skill when a user asks about a company's earnings, valuation metrics, fundamentals, whether a stock is cheap or expensive, or how recent results compared to expectations.

Required workflow

Retrieve stock data using get_stock_data for the requested symbol.
Search for earnings-related news using search_news with the stock's sector.
Extract the following fundamental metrics from stock data:
- P/E ratio (compare to sector average: Technology ~34x, Healthcare ~22x, Financials ~13x, Energy ~14x, Consumer Discretionary ~30x, Consumer Staples ~25x)
- Dividend yield (0% = growth stock; >2% = income stock)
- Market cap tier (Mega >$1T, Large $100B-$1T, Mid $10B-$100B)
Assess valuation:
- P/E > 1.3× sector average → Premium (growth priced in)
- P/E within 0.7×–1.3× sector average → Fair Value
- P/E < 0.7× sector average → Discount (value opportunity or value trap)
Identify the most relevant earnings headline from news results.
Provide a 2-sentence earnings outlook.

Output Format

Earnings Snapshot: {SYMBOL} — {Company Name}
  Price         : ${price}
  P/E Ratio     : {pe_ratio}x  ({Premium | Fair Value | Discount} vs. {sector} avg {sector_avg}x)
  Dividend Yield: {yield}%
  Market Cap    : ${cap}  ({tier})
  Earnings News : {top headline}
  Outlook       : {2-sentence assessment}

Install earnings-snapshot and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "lyncos-docs-kb-earnings-snapshot", "kind": "skill", "name": "earnings-snapshot", "description": "Generate a concise earnings and fundamental snapshot for a stock, covering valuation, recent earnings news, and analyst positioning", "publisher": "lyncos", "version": "1.0.0", "capabilities": { "domains": [ "finance", "observability" ], "tags": [ "skill-md", "agentcore", "agentcore-samples", "reference", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Generate a concise earnings and fundamental snapshot for a stock, covering valuation, recent earnings news, and analyst positioning" ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/lyncos/docs-kb", "path": "agentcore/references/repos/agentcore-samples/02-use-cases/01-conversational-agents/market-trends-agent/skills/earnings-snapshot/SKILL.md", "ref": "f683244c6efdfb7063da4926b9fda126f8161fa9", "url": "https://github.com/lyncos/docs-kb/blob/f683244c6efdfb7063da4926b9fda126f8161fa9/agentcore/references/repos/agentcore-samples/02-use-cases/01-conversational-agents/market-trends-agent/skills/earnings-snapshot/SKILL.md", "key": "lyncos/docs-kb/agentcore/references/repos/agentcore-samples/02-use-cases/01-conversational-agents/market-trends-agent/skills/earnings-snapshot/SKILL.md" } }, "instructions": "# Earnings Snapshot Skill\n\nUse this skill when a user asks about a company's earnings, valuation metrics, fundamentals, whether a stock is cheap or expensive, or how recent results compared to expectations.\n\n## Required workflow\n\n1. Retrieve stock data using `get_stock_data` for the requested symbol.\n2. Search for earnings-related news using `search_news` with the stock's sector.\n3. Extract the following fundamental metrics from stock data:\n - P/E ratio (compare to sector average: Technology ~34x, Healthcare ~22x, Financials ~13x, Energy ~14x, Consumer Discretionary ~30x, Consumer Staples ~2", "cost": { "context_tokens": 348 } }

earnings-snapshot

About

Earnings Snapshot Skill

Required workflow

Output Format

Use it

Install earnings-snapshot and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Manifest

Reviews