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.
npx skills add sasakiblog26-lgtm/exa-mcp-server --skill code-searchgit clone --depth 1 https://github.com/sasakiblog26-lgtm/exa-mcp-serverWrote 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/sasakiblog26-lgtm/exa-mcp-server/code-search)<a href="https://agentmods.dev/skills/sasakiblog26-lgtm/exa-mcp-server/code-search"><img src="https://agentmods.dev/badge/skills/sasakiblog26-lgtm/exa-mcp-server/code-search/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/sasakiblog26-lgtm/exa-mcp-server/code-search"><img src="https://agentmods.dev/badge/skills/sasakiblog26-lgtm/exa-mcp-server/code-search.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 | $0.00044 | $0.00437 |
| Opus 5.5 | $0.00018 | $0.00175 |
| Sonnet 5.5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
code-search-exa 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 2mo 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.
What it actually says
Code Context (Exa)
Tool Restriction (Critical)
ONLY use web_search_exa. Do NOT use other Exa tools.
Token Isolation (Critical)
Never run Exa in main context. Always spawn Task agents:
- Agent calls
web_search_exa - Agent extracts the minimum viable snippet(s) + constraints
- Agent deduplicates near-identical results (mirrors, forks, repeated StackOverflow answers) before presenting
- Agent returns copyable snippets + brief explanation
- Main context stays clean regardless of search volume
When to Use
Use this tool for ANY programming-related request:
- API usage and syntax
- SDK/library examples
- config and setup patterns
- framework "how to" questions
- debugging when you need authoritative snippets
Query Writing Patterns (High Signal)
To reduce irrelevant results and cross-language noise:
- Always include the programming language in the query.
- Example: use "Go generics" instead of just "generics".
- When applicable, also include framework + version (e.g., "Next.js 14", "React 19", "Python 3.12").
- Include exact identifiers (function/class names, config keys, error messages) when you have them.
Output Format (Recommended)
Return:
- Best minimal working snippet(s) (keep it copy/paste friendly)
- Notes on version / constraints / gotchas
- Sources (URLs if present in returned context)
Before presenting:
- Deduplicate similar results and keep only the best representative snippet per approach.
MCP Configuration
{
"servers": {
"exa": {
"type": "http",
"url": "https://mcp.exa.ai/mcp?tools=web_search_exa"
}
}
}
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.
- 2mo ago First seen · 61 lines · 44 tokens per session scan A 29084fc73c7a
code-search-exa is a skill published in the GitHub repository sasakiblog26-lgtm/exa-mcp-server (1 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 437 once invoked, about $0.0002 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.
code-search-exa compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| code-search-exasasakiblog26-lgtm/exa-mcp-server | Skill | 1 | 7mo ago | MIT | A | 44 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |