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 commands/lollipopkit/cc-plugins/multi-modelgit clone --depth 1 https://github.com/lollipopkit/cc-pluginsWhat 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 | $0.00011 | $0.00157 |
| Opus 5 | $0.00005 | $0.00078 |
| Sonnet 5 | $0.00002 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
multi-model 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 yesterday.
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
Multi-Model Command
Use the multi-model skill to run a multi-model battle where different LLMs compete and judge each other's answers.
Task
$ARGUMENTS
Instructions
Run the multi-model script with the given task:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/multi-model/scripts/multi_model.py" --prompt "$ARGUMENTS" --iters 5
Parse the output and present:
- The winning answer
- Judge scores summary
- Model rotation insights (using numeric IDs only, never disclose model names)
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.
- yesterday First seen · 28 lines · 11 tokens per session scan A 1f3d8717c6cf
multi-model is a command published in the GitHub repository lollipopkit/cc-plugins (7 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 157 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 2026-08-31.
Other commands, from other repositories
advisor
Get a second opinion from Codex (GPT-5) on your current plan, diff, or a specific question.
triage
Triage review findings one by one — present pending TODOs for user decision (approve, skip, modify).
constatar-run
Execute a constatar plan.toml and report grounded results.
constatar-audit
Audit a constatar run — conformance, health trends, cost.
constatar-verify
Verify a unit of work with grounded evidence via constatar.
remoto-status
Show the remote agent fleet: host health and all jobs with their states.