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/bourbondog/amicus/sidecarnpx skills add BourbonDog/amicus --skill sidecargit clone --depth 1 https://github.com/BourbonDog/amicusWhat 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 | $0.00218 | $0.10612 |
| Opus 5 | $0.00109 | $0.05306 |
| Sonnet 5 | $0.00044 | $0.02122 |
| Haiku 4.5 | $0.00022 | $0.01061 |
Grade A, and why
sidecar 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 2d 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 — 1,038 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amicus: Multi-Model Sidecar Tool
Spawn parallel conversations with different LLMs (Gemini, GPT, ChatGPT, Codex, o3, etc.) and fold results back into your context.
Slash invocation (/amicus:sidecar <model> <prompt…>)
When invoked as a slash command with arguments:
- First argument (the model): $1
- Full argument string: $ARGUMENTS
Treat $1 as the target model alias and the remainder of $ARGUMENTS as the prompt. If $1 is not a plausible model alias (gemini, gemini-pro, gpt, codex, deepseek, qwen, grok, mistral, glm, …), treat the ENTIRE argument string as the prompt and default to gemini. Then apply the critical rules below exactly as for any other invocation (run_in_background: true, --prompt-file for long briefings, interactive by default for a single model, never o3/o3-pro unprompted).
Operating Rules
These rules are mandatory for every amicus invocation in this skill:
- ALWAYS launch amicus CLI commands with the Bash tool's
run_in_background: true. Never runamicus start/resume/continuein the foreground. - The fold summary returns on stdout when the user clicks Fold in the GUI or the headless agent finishes. Use TaskOutput to read it when the background task completes.
- For long or multi-line briefings, write them to a temp file and pass
--prompt-file <path>(mutually exclusive with--prompt; avoids shell-quoting hazards and argument-size caps). - NEVER use o3 or o3-pro unless the user explicitly asks for it by name. These models are extremely expensive ($10-60+ per request). If the user asks for o3, warn them about the cost before proceeding. Default to gemini for most tasks. The CLI enforces this in code: a built-in budget gate refuses any model above a per-$/Mtok threshold (o3-pro class) before launch unless you pass
--no-cost-gate;--max-cost <$>sets a soft estimated-total ceiling. When a run is refused withBUDGET_EXCEEDED, relay the gate's message — don't silently retry with the flag. - When the user asks to query MULTIPLE LLMs simultaneously (e.g., "ask Gemini AND ChatGPT", "compare Gemini vs GPT"), ALWAYS use
--no-ui(headless) for all of them unless the user explicitly requests interactive. Opening multiple Electron windows at once is disruptive. Launch them all in parallel withrun_in_background: true. - When the SAME prompt should go to N models, use
amicus fanout --models "a,b,c" --prompt-file <path> --json(one headless wave, one JSON result) instead of N separate start calls. Different prompts per model → separate parallelamicus start --no-uicalls. - For a SINGLE-model sidecar, DEFAULT to interactive — omit
--no-uiso the Electron UI opens and the user can watch, converse, and click Fold. Use--no-uifor a single model only when the user asks for headless/autonomous, or for unattended bulk automation. Interactive launches still userun_in_background: true. - If
amicusis not on PATH (typical for plugin-only installs), run every command in this skill asnpx -y amicus@latest <args>(e.g.npx -y amicus@latest start --model gemini --prompt "..."), or use the MCP tools (amicus_start,amicus_wait,amicus_status,amicus_read, …) instead. Do not conclude the tool is broken becauseamicusis not found.
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.
- 2d ago First seen · 1,038 lines · 218 tokens per session scan A 81d880f73b21
sidecar is a skill published in the GitHub repository BourbonDog/amicus (2 stars, last pushed 3d ago), licensed MIT. It adds 218 tokens to every session and 10,612 once invoked, about $0.0011 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.
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