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 ejirocodes/agent-skills --skill exa-entitiesgit clone --depth 1 https://github.com/ejirocodes/agent-skillsWrote 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/ejirocodes/agent-skills/exa-entities)<a href="https://agentmods.dev/skills/ejirocodes/agent-skills/exa-entities"><img src="https://agentmods.dev/badge/skills/ejirocodes/agent-skills/exa-entities.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.00639 |
| Opus 5 | $0.00051 | $0.00319 |
| Sonnet 5 | $0.00021 | $0.00128 |
| Haiku 4.5 | $0.00010 | $0.00064 |
Grade A, and why
exa-entities 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exa Entity Search
Quick Reference
| Topic | When to Use | Reference |
|---|---|---|
| Company Search | Finding companies, competitive research | company-search.md |
| People Search | Finding profiles, recruiting | people-search.md |
| Websets | Data collection at scale, monitoring | websets.md |
Essential Patterns
Company Search
from exa_py import Exa
exa = Exa()
results = exa.search_and_contents(
"AI startups in healthcare series A funding",
category="company",
num_results=20,
text=True
)
for company in results.results:
print(f"{company.title}: {company.url}")
People Search
results = exa.search_and_contents(
"machine learning engineers San Francisco",
category="linkedin_profile",
num_results=20,
text=True
)
for profile in results.results:
print(f"{profile.title}: {profile.url}")
Websets for Lead Generation
# Create a webset for company collection
webset = exa.websets.create(
name="AI Healthcare Companies",
search_query="AI healthcare startups",
category="company",
max_results=100
)
# Monitor for new matches
exa.websets.add_monitor(
webset_id=webset.id,
schedule="daily"
)
Category Reference
| Category | Use Case | Index Size |
|---|---|---|
company |
Company websites, about pages | Millions |
linkedin_profile |
Professional profiles | 1B+ profiles |
personal_site |
Individual blogs, portfolios | Millions |
github |
Repositories, developer profiles | Millions |
Common Mistakes
- Not using category filter - Always set
category="company"orcategory="linkedin_profile"for entity search - Expecting structured data - Exa returns web pages; parse text for structured fields
- Over-broad queries - Add location, industry, or role specifics for better results
- Ignoring rate limits - Batch requests and implement backoff for large-scale collection
- Missing domain filters - Use
include_domains=["linkedin.com"]for profile-only results
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 88 lines · 103 tokens per session scan A b24bd7c3919a
exa-entities is a skill published in the GitHub repository ejirocodes/agent-skills (6 stars, last pushed 2mo ago), licensed MIT. It adds 103 tokens to every session and 639 once invoked, about $0.0005 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…