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 YPares/agent-skills --skill searxng-searchgit clone --depth 1 https://github.com/YPares/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/ypares/agent-skills/searxng-search)<a href="https://agentmods.dev/skills/ypares/agent-skills/searxng-search"><img src="https://agentmods.dev/badge/skills/ypares/agent-skills/searxng-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/ypares/agent-skills/searxng-search"><img src="https://agentmods.dev/badge/skills/ypares/agent-skills/searxng-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 167 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 170 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 173 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 271 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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 | $0.00019 | $0.02200 |
| Opus 5 | $0.00010 | $0.01100 |
| Sonnet 5 | $0.00004 | $0.00440 |
| Haiku 4.5 | $0.00002 | $0.00220 |
Grade A, and why
searxng-search scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl: ">=7.0.0" How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SearXNG Search
SearXNG is a privacy-respecting metasearch engine that you can run locally. It aggregates results from multiple search engines and package repositories, returning clean JSON output.
Quick Start
Start SearXNG:
start-searxng --detach
This will:
- Auto-detect podman or docker
- Create a minimal config with JSON output enabled
- Start SearXNG on
http://localhost:8888 - Wait until ready
Stop SearXNG:
podman stop searxng # or: docker stop searxng
Custom port:
start-searxng --port 9999 --detach
Quick Reference
| Task | Command | Category |
|---|---|---|
| General web search | curl "http://localhost:8888/search?q=<query>&format=json" |
general |
| Search Cargo/crates.io | curl "http://localhost:8888/search?q=<crate>&format=json&categories=cargo" |
cargo |
| Search npm packages | curl "http://localhost:8888/search?q=<pkg>&format=json&categories=packages" |
packages |
| Search code repositories | curl "http://localhost:8888/search?q=<query>&format=json&categories=repos" |
repos |
| Search IT resources | curl "http://localhost:8888/search?q=<query>&format=json&categories=it" |
it |
| Limit results | Add &limit=N to URL |
- |
| Multiple categories | &categories=cat1,cat2 |
- |
Available Categories
Run to see all categories:
curl -s "http://localhost:8888/config" | jq '.categories'
Notable categories:
- general: General web search (default)
- cargo: Rust crates from crates.io
- packages: Multi-repo (npm, rubygems, haskell/hoogle, hex, packagist, metacpan, pub.dev, pkg.go.dev, docker hub, alpine, etc.)
- it: IT/tech resources (includes GitHub, Docker Hub, crates.io)
- repos: Code repositories
- code: Code search
- scientific publications: Academic papers
- news, videos, images, books, etc.
See package-engine-status.md for comprehensive package search testing results.
What ships with it
7 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.
- 12d ago First seen · 295 lines · 19 tokens per session scan A 1c5e86b5df19
searxng-search is a skill published in the GitHub repository YPares/agent-skills (30 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 2,200 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
agent-rig-system
A rig is a collection of riglets that provide knowledge and tools for AI agents. Rigs and riglets are packaged as Nix flake outputs, so they can both be used inside the project defining them and by other projects depending on it.
riglet-creator
Creating effective riglets means writing knowledge (SKILL.md) that agents will rely on. This guide focuses on how to write high-quality documentation for riglets, organized efficiently.
nix-module-system
Practical knowledge about lib.evalModules that's hard to find in official docs.
code-search
Fast, efficient utilities for searching code and browsing file hierarchies.
Summarize document text and identify its main claims, evidence, and unanswered questions.
agenda-management
High-fidelity scheduling and cognitive alignment via the Triangular Synaptic Flow.