# Exa Search

> AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).

- **Type:** Skill
- **Install:** `agentstack add skill-raja21068-autoresearch-exa-search`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [raja21068](https://agentstack.voostack.com/s/raja21068)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [raja21068](https://github.com/raja21068)
- **Source:** https://github.com/raja21068/AutoResearch/tree/main/skills/aris/exa-search

## Install

```sh
agentstack add skill-raja21068-autoresearch-exa-search
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Exa AI-Powered Web Search

Search query: $ARGUMENTS

## Role & Positioning

Exa is the **broad web search** source with built-in content extraction:

| Skill | Best for |
|------|----------|
| `/arxiv` | Direct preprint search and PDF download |
| `/semantic-scholar` | Published venue papers (IEEE, ACM, Springer), citation counts |
| `/deepxiv` | Layered reading: search, brief, section map, section reads |
| `/exa-search` | Broad web search: blogs, docs, news, companies, research papers — with content extraction |

Use Exa when you need results beyond academic databases, or when you want content (highlights, full text, summaries) extracted alongside search results.

## Constants

- **FETCH_SCRIPT** — `tools/exa_search.py` relative to the current project.
- **MAX_RESULTS = 10** — Default number of results to return.

> Overrides (append to arguments):
> - `/exa-search "RAG pipelines" — max: 5` — top 5 results
> - `/exa-search "diffusion models" — category: research paper` — research papers only
> - `/exa-search "startup funding" — category: news, start date: 2025-01-01` — recent news
> - `/exa-search "transformer" — content: text, max chars: 8000` — full text mode
> - `/exa-search "transformer" — content: summary` — LLM-generated summaries
> - `/exa-search "transformer" — domains: arxiv.org,huggingface.co` — domain filter
> - `/exa-search "https://arxiv.org/abs/2301.07041" — similar` — find similar pages

## Setup

Exa requires the `exa-py` SDK and an API key:

```bash
pip install exa-py
```

Set your API key:
```bash
export EXA_API_KEY=your-key-here
```

Get a key from [exa.ai](https://exa.ai).

## Workflow

### Step 1: Parse Arguments

Parse `$ARGUMENTS` for:
- **query**: The search query (required) or a URL (for `find-similar` mode)
- **similar**: If present, use `find-similar` mode instead of search
- **max**: Override MAX_RESULTS
- **category**: `research paper`, `news`, `company`, `personal site`, `financial report`, `people`
- **content**: `highlights` (default), `text`, `summary`, `none`
- **max chars**: Max characters for content extraction
- **type**: Search type — `auto` (default), `neural`, `fast`, `instant`
- **domains**: Comma-separated include domains
- **exclude domains**: Comma-separated exclude domains
- **include text**: Phrase that must appear in results
- **exclude text**: Phrase to exclude from results
- **start date**: ISO 8601 date — only results after this
- **end date**: ISO 8601 date — only results before this
- **location**: Two-letter ISO country code

### Step 2: Locate Script

```bash
SCRIPT=$(find tools/ -name "exa_search.py" 2>/dev/null | head -1)
```

If not found, tell the user:
```
exa_search.py not found. Make sure tools/exa_search.py exists and exa-py is installed:
pip install exa-py
```

### Step 3: Execute Search

**Standard search:**
```bash
python3 "$SCRIPT" search "QUERY" --max 10 --content highlights
```

**With filters:**
```bash
python3 "$SCRIPT" search "QUERY" --max 10 \
  --category "research paper" \
  --start-date 2025-01-01 \
  --content text --max-chars 8000
```

**Find similar pages:**
```bash
python3 "$SCRIPT" find-similar "URL" --max 5 --content highlights
```

**Get content for known URLs:**
```bash
python3 "$SCRIPT" get-contents "URL1" "URL2" --content text
```

### Step 4: Present Results

Format results as a structured table:

```
| # | Title | Authors | Venue/Publisher | URL | Date | Key Content |
|---|-------|---------|-----------------|-----|------|-------------|
```

For each result:
- Show title and URL
- Show published date if available
- Show highlights, text excerpt, or summary depending on content mode
- Flag particularly relevant results
- **For `category: "research paper"` hits only** — also record authors
  (from Exa's `author`/`authors` fields, or fallback: parse from the
  result snippet) and venue/publisher (from `publisher`, `source`, or
  the domain hosting the paper). These are needed by Step 6's wiki
  hook; if either is unavailable for a given hit, skip wiki ingest
  for that one hit and log a note.

### Step 5: Offer Follow-up

After presenting results, suggest:
- **Deepen**: "I can fetch full text for any of these results"
- **Find similar**: "I can find pages similar to any result"
- **Narrow**: "I can re-search with domain/date/text filters"

### Step 6: Update Research Wiki (if active, research-paper results only)

**Required when `research-wiki/` exists AND the search returned
results of `category: "research paper"`**; skip silently otherwise.
General web results (blog posts, docs, news) are **not** ingested —
the wiki is for papers only.

When the predicates hold, resolve `$WIKI_SCRIPT` per the canonical
chain at
[`shared-references/wiki-helper-resolution.md`](../shared-references/wiki-helper-resolution.md)
(Variant B — warn-and-skip). For each research paper hit, try to
recover an arXiv ID from the URL (`arxiv.org/abs/`); if present,
use `--arxiv-id`. Otherwise fall back to manual metadata:

```bash
if [ -d research-wiki/ ] and query category was "research paper":
    cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
    ARIS_REPO="${ARIS_REPO:-$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null)}"
    WIKI_SCRIPT=".aris/tools/research_wiki.py"
    [ -f "$WIKI_SCRIPT" ] || WIKI_SCRIPT="tools/research_wiki.py"
    [ -f "$WIKI_SCRIPT" ] || { [ -n "${ARIS_REPO:-}" ] && WIKI_SCRIPT="$ARIS_REPO/tools/research_wiki.py"; }
    [ -f "$WIKI_SCRIPT" ] || {
      echo "WARN: research_wiki.py not found; exa-search results delivered, wiki ingest skipped. Fix: bash tools/install_aris.sh, export ARIS_REPO, or cp /tools/research_wiki.py tools/." >&2
      WIKI_SCRIPT=""
    }
    [ -n "$WIKI_SCRIPT" ] && for each research-paper hit in results:
        if URL matches arxiv.org/abs/:
            python3 "$WIKI_SCRIPT" ingest_paper research-wiki/ \
                --arxiv-id ""
        else:
            python3 "$WIKI_SCRIPT" ingest_paper research-wiki/ \
                --title "" --authors "" \
                --year  --venue ""
```

The helper handles slug / dedup / page / index / log — **do not
handwrite `papers/.md`**. See
[`shared-references/integration-contract.md`](../shared-references/integration-contract.md).

## Key Rules
- Always check that `EXA_API_KEY` is set before searching
- Default to `highlights` content mode for a good balance of speed and context
- Use `category: "research paper"` when the user is clearly looking for academic content
- Use `text` content mode when the user needs full page content
- Combine with `/arxiv` or `/semantic-scholar` for comprehensive literature coverage

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [raja21068](https://github.com/raja21068)
- **Source:** [raja21068/AutoResearch](https://github.com/raja21068/AutoResearch)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-raja21068-autoresearch-exa-search
- Seller: https://agentstack.voostack.com/s/raja21068
- Browse the marketplace: https://agentstack.voostack.com/browse

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