CLI-Anything turns software and services into command-line interfaces that AI agents can use to perform tasks and produce artifacts. It is intended for people building or using agent workflows with tools such as coding assistants, design software, and other applications. The catalogue entries are skills, commands, a plugin, and a rule for working with CLI-Anything.
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 agentmods add skills/hkuds/cli-anything/cli-anything-exanpx skills add HKUDS/CLI-Anything --skill cli-anything-exagit clone --depth 1 https://github.com/HKUDS/CLI-AnythingWrote 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/hkuds/cli-anything/cli-anything-exa)<a href="https://agentmods.dev/skills/hkuds/cli-anything/cli-anything-exa"><img src="https://agentmods.dev/badge/skills/hkuds/cli-anything/cli-anything-exa.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 | $0.00019 | $0.00854 |
| Opus 5 | $0.00010 | $0.00427 |
| Sonnet 5 | $0.00004 | $0.00171 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
cli-anything-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 5d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exa CLI Skill
Identity
- Name: cli-anything-exa
- Version: 1.0.0
- Category: search
- Entry Point:
cli-anything-exa
What This CLI Does
Provides an agent-native command-line interface to the Exa API — a neural search engine optimised for AI agent workflows. Supports web search across multiple modes (fast, deep, deep-reasoning) and fetching full-text or highlighted page contents.
Prerequisites
- Python >= 3.10
pip install cli-anything-exaexport EXA_API_KEY="your-api-key"(get one at https://dashboard.exa.ai/api-keys)
Installation
pip install git+https://github.com/HKUDS/CLI-Anything.git#subdirectory=exa/agent-harness
Command Reference
search — Web search
cli-anything-exa search "<query>" [OPTIONS]
Options:
--type auto|fast|instant|deep|deep-reasoning (default: auto)
--num-results / -n 1–100 (default: 10)
--category company|people|research-paper|news|personal-site|financial-report
--content highlights|text|summary|none (default: highlights)
--freshness smart|always|never (default: smart)
--include-domains DOMAIN (repeatable)
--exclude-domains DOMAIN (repeatable)
--from DATE ISO 8601 start published date
--to DATE ISO 8601 end published date
--location CC Two-letter country code for geo-bias
contents — Fetch page contents
cli-anything-exa contents <url> [url ...] [--content text|highlights|summary] [--freshness smart|always|never]
server status — Verify API key and connectivity
cli-anything-exa server status
JSON Output
All commands support --json at the root level for machine-readable output:
cli-anything-exa --json search "latest LLM papers" --num-results 5
Common Agent Patterns
Fast keyword lookup
cli-anything-exa --json search "site:arxiv.org transformer architectures" --type fast --content highlights
Deep research on a topic
cli-anything-exa --json search "EU AI Act compliance requirements 2024" --type deep --content text
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.
- 5d ago First seen · 108 lines · 19 tokens per session scan A a72bd2073e09
cli-anything-exa is a skill published in the GitHub repository HKUDS/CLI-Anything (48,809 stars, last pushed 14d ago), licensed Apache-2.0. It adds 19 tokens to every session and 854 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…