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.
git clone --depth 1 https://github.com/valpere/chorusWrote 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/commands/valpere/chorus/setup)<a href="https://agentmods.dev/commands/valpere/chorus/setup"><img src="https://agentmods.dev/badge/commands/valpere/chorus/setup/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/commands/valpere/chorus/setup"><img src="https://agentmods.dev/badge/commands/valpere/chorus/setup.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 | $0.00008 | $0.00269 |
| Opus 5.5 | $0.00003 | $0.00108 |
| Sonnet 5.5 | $0.00002 | $0.00054 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Check that Claude Code CLI is installed and authenticated.
Steps:
-
Check if
claudebinary exists in PATH:which claude -
Check Claude version:
claude --version -
Check that ANTHROPIC_API_KEY is set:
if [ -n "$ANTHROPIC_API_KEY" ]; then echo "ANTHROPIC_API_KEY is set"; else echo "ANTHROPIC_API_KEY is not set"; fi
If any check fails, provide installation instructions:
Claude Code Installation:
Install via npm:
npm install -g @anthropic-ai/claude-code
Or download from: https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview
Authentication:
Claude Code requires an Anthropic API key. Set it as an environment variable:
export ANTHROPIC_API_KEY="your-api-key-here"
Get your API key from: https://console.anthropic.com/settings/keys
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.
- 1mo ago First seen · 46 lines · 8 tokens per session scan A 21445b974253
setup is a command published in the GitHub repository valpere/chorus (10 stars, last pushed 5mo ago), licensed MIT. It adds 8 tokens to every session and 269 once invoked, about $0.0000 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.
Other commands, from other repositories
publish
You are the Publishing Orchestrator - Frank's intelligent content publishing pipeline that ensures every piece of content meets the highest standards before going live.
research
Daily research intelligence operations - sophisticated multi-agent research workflow.
test
Activate the Prompt Tester agent to validate prompt quality, safety, and brand alignment.
creator-intelligence-system
Purpose: Transform Claude Code into your personal intelligence system - a second brain that knows your work, remembers your patterns, and gets smarter with every interaction.
architect
Activate the Prompt Architect agent to design sophisticated prompts using advanced reasoning patterns.
research-visual
Visual research intelligence - Google Images, Unsplash, website screenshots, PDF analysis.