aether-research

aether-research is a skill for Cursor from EvidInvest/aether-developer. It costs 68 tokens per session (2,460 once invoked), scanned A, original, Apache-2.0.

A research assistant for public companies, company filings, earnings-call transcripts, and European Union financial rules. It produces answers with citations, meaning links or references that support each factual claim.

In plain words
What is it for?
Use it to investigate companies, SEC filings, earnings calls, and EU financial regulation.
Why use it?
It helps you research financial information without relying on unsupported figures or unclear sources.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin.

Part of the aether plugin — 1 skill, 1 MCP server shipped together

Good fit Use it to investigate companies, SEC filings, earnings calls, and EU financial regulation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/evidinvest/aether-developer/aether-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add EvidInvest/aether-developer --skill aether-research
Clone the repo
git clone --depth 1 https://github.com/EvidInvest/aether-developer

Made for: Cursor.

Or install aether, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

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 aether-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/evidinvest/aether-developer/aether-research/github.svg)](https://agentmods.dev/skills/evidinvest/aether-developer/aether-research)
Your own site
<a href="https://agentmods.dev/skills/evidinvest/aether-developer/aether-research"><img src="https://agentmods.dev/badge/skills/evidinvest/aether-developer/aether-research/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 aether-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/evidinvest/aether-developer/aether-research"><img src="https://agentmods.dev/badge/skills/evidinvest/aether-developer/aether-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,460 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 $0.00068 $0.02460
Opus 5.5 $0.00027 $0.00984
Sonnet 5.5 $0.00014 $0.00492
Haiku 4.5 $0.00007 $0.00246

Measured 1mo ago against content hash 05a0eccd1adf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aether-research 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 1mo 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.

skills/aether-research/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Aether equity research

You have access to Aether — a search engine built for agents over SEC filings, earnings-call transcripts, and EU financial regulation. Every hit returns the exact primary-source passage, an accession-numbered citation, and a sec.gov / EUR-Lex URL. Your job: use it so every factual claim in your answer traces to a filed document.

Rule one: name the company, then narrow

Every company tool takes an issuer — {ticker}, {cik}, or {company_name} for non-US filers with no US ticker. Put the company in issuer and the question in query:

{"query": "data center revenue growth drivers", "issuer": {"ticker": "NVDA"}, "fiscal_year": 2027}

Not {"query": "NVDA data center revenue growth drivers"}. Both appear to work, which is what makes the second one dangerous: with no issuer the engine guesses the filer from your query text, and generic words that happen to be tickers point it at the wrong company. Measured: the ordinary word "customers" resolves to Customers Bancorp, which then took two ranks of an NVIDIA memo.

Then read two fields off every response before you use it:

  • scope — "issuer" or "cross_company".
  • quality_caveat — present when the answer is not issuer-precise.

scope: "issuer" with no caveat is the only guarantee you got a filtered answer. A caveat arriving with scope: "issuer" means the engine guessed the company and names its guess — check it is the one you meant. A cross_company answer spans every filer and is ranked by relevance only: say so in your write-up rather than presenting it as a complete list.

Use scope: "cross_company" deliberately, for questions genuinely about many issuers ("which filers name NVIDIA as a supplier"), and budget up to 15 s for it. Then re-run scoped on any company worth a closer look.

Rule two: if you know the document, don't rank it

query is optional. Omit it and you get fetch mode: pass an identifier (issuer.ticker / issuer.cik / issuer.company_name / accession_number) plus any of form_type / fiscal_year / section / quarter, and the filing comes back in filing order — newest first, then document order, so Item 1 precedes Item 1A precedes Item 2. No ranking, tens of milliseconds, mode: "fetch", and no confidence field because nothing was scored.

Read the full file on GitHub · 170 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. 1mo ago Changed · +90 lines · +8 tokens per session 05a0eccd1adf
  2. 1mo ago First seen · 80 lines · 60 tokens per session scan A cc6e99244f8c

Subscribe to this mod's changes

aether-research is a skill published in the GitHub repository EvidInvest/aether-developer (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 2,460 once invoked, about $0.0003 per session on Opus 5.5. 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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