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/procoders/superpowers-v/v-modelsgit clone --depth 1 https://github.com/procoders/superpowers-vWhat 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 | $0.00073 | $0.05125 |
| Opus 5 | $0.00036 | $0.02563 |
| Sonnet 5 | $0.00015 | $0.01025 |
| Haiku 4.5 | $0.00007 | $0.00513 |
Grade A, and why
v-models 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are running /v:models — the Compound V model broker's refresh
surface. Compound V routes work by intent (a stable tier vocabulary —
deep / standard / light) instead of hardcoding model strings that rot every
time a provider ships a new model. The mapping from tier → concrete model lives in
a refreshable models block in .claude/compound-v.json. This command
discovers what each backend can run right now, lets you assign each tier, and
rewrites that block. Nothing else in the plugin changes — the dispatcher resolves
tiers through scripts/compound-v-resolve-model.py
at dispatch time, so refreshing the map here is the only thing you ever touch
when models churn.
Argument (optional): {{args}} may name a single backend to refresh in isolation
(claude | codex | antigravity | cursor | devin | opencode); otherwise walk
all of them. devin and opencode are worker-only backends (v1) — their model
maps drive dispatch only, never any arbiter/review panel seat.
This is the "skill picks the models and offers you the options" surface. Do the
discovery, show what you found, then let the user choose. Never silently pick a
model the user did not confirm. NEVER assign haiku to any tier on any backend.
Step 0 — Load the current map
Read .claude/compound-v.json if it exists. Remember its current models block
(seeded by /v:init) so you can show the user what is changing and
preserve any backend they don't refresh this run. The models block is per-stance
— shape {<stance>: {<backend>: {<tier>: model}}}. If the file or its models key
is absent, fall back to the built-in default (the resolver carries the same one). Only
the claude rows differ across stances — cost-aware.claude.standard is sonnet,
everywhere else standard Claude is opus:
"models": {
"balanced": {
"claude": { "deep": "opus", "standard": "opus", "light": "sonnet" },
"codex": { "deep": "gpt-5.6-sol", "standard": "gpt-5.6-terra", "light": "gpt-5.6-luna" },
"antigravity": { "deep": "Gemini 3.1 Pro (High)", "standard": "Gemini 3.1 Pro (Low)", "light": "Gemini 3.5 Flash (Low)" },
"cursor": { "deep": "auto", "standard": "auto", "light": "auto" }
},
"cost-aware": {
"claude": { "deep": "opus", "standard": "sonnet", "light": "sonnet" },
"codex": { "deep": "gpt-5.6-sol", "standard": "gpt-5.6-terra", "light": "gpt-5.6-luna" },
"antigravity": { "deep": "Gemini 3.1 Pro (High)", "standard": "Gemini 3.1 Pro (Low)", "light": "Gemini 3.5 Flash (Low)" },
"cursor": { "deep": "auto", "standard": "auto", "light": "auto" }
}
// conservative + claude-only mirror balanced
}
/v:models writes this per-stance shape; the resolver still accepts the legacy
flat shape {<backend>: {<tier>: model}} (applied to every stance) for backward-compat.
If {{args}} named one backend, only discover + reassign that backend (across every
stance's block) and leave the other backends exactly as they are.
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 · 345 lines · 73 tokens per session scan A 7901997e3e56
v-models is a command published in the GitHub repository procoders/superpowers-v (35 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 5,125 once invoked, about $0.0004 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 commands, from other repositories
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cpp-init
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add-portal
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execute
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vibe-agents
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agentlas-cloud
Staff a task only from the signed-in owner's Agent Cloud agents.