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/alrcatraz/astra-aigate/cli-chatnpx skills add alrcatraz/astra-aigate --skill cli-chatgit clone --depth 1 https://github.com/alrcatraz/astra-aigateWrote 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/alrcatraz/astra-aigate/cli-chat)<a href="https://agentmods.dev/skills/alrcatraz/astra-aigate/cli-chat"><img src="https://agentmods.dev/badge/skills/alrcatraz/astra-aigate/cli-chat.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 | $0.00036 | $0.00414 |
| Opus 5 | $0.00018 | $0.00207 |
| Sonnet 5 | $0.00007 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
cli-chat 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 4d 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.
This is a copy
100% identical to cli-chat — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Overview
Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.
Quick install
npm install -g omniroute # or: npx omniroute
omniroute --version
Subcommands
chat [prompt]
Flags:
--file <path>--stdin-s, --system <prompt>-m, --model <id>--max-tokens <n>--temperature <t>--top-p <p>--reasoning-effort <level>--thinking-budget <tokens>--combo <name>--responses-api--stream--no-history
Example:
omniroute chat [prompt]
repl
Flags:
-m, --model <id>--combo <name>-s, --system <prompt>--resume <session>
Example:
omniroute repl
stream [prompt]
Flags:
--file <path>--stdin-m, --model <id>-s, --system <prompt>--combo <name>--max-tokens <n>--responses-api--raw--debug--save <path>
Example:
omniroute stream [prompt]
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.
- 4d ago First seen · 79 lines · 36 tokens per session scan A f10cc2b18169
cli-chat is a skill published in the GitHub repository alrcatraz/astra-aigate (1 stars, last pushed 4d ago), licensed MIT. It adds 36 tokens to every session and 414 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cli-chat, differing in 0 lines, and is treated as a copy.
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…