models

A command for displaying the current DevSquad model catalog, the models selected by its tiers, project-specific model choices, and recent model changes. A model catalog is a list of available AI models and their current assignments.

In plain words
What is it for?
Use it to refresh the catalog, inspect fast or frontier model tiers, compare project settings with current resolutions, and review recent model drift.
Why use it?
It shows whether a configured model name still resolves to an available model and helps explain changes when providers rotate or remove models.

Command

Install

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.

agentmods
npx agentmods add commands/joshidikshant/devsquad/models
Clone the repo
git clone --depth 1 https://github.com/joshidikshant/devsquad
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00014 $0.00294
Opus 5 $0.00007 $0.00147
Sonnet 5 $0.00003 $0.00059
Haiku 4.5 $0.00001 $0.00029

Measured yesterday against content hash 08d7c029af43, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

plugin/commands/models.md · 27 lines

What it actually says

Present the DevSquad model catalog concisely. Run these with the Bash tool:

  1. Refresh the catalog (network call, a few seconds): bash ${CLAUDE_PLUGIN_ROOT}/lib/model-catalog.sh refresh

  2. Show what the tiers currently resolve to:

    • bash ${CLAUDE_PLUGIN_ROOT}/lib/model-catalog.sh resolve gemini fast
    • bash ${CLAUDE_PLUGIN_ROOT}/lib/model-catalog.sh resolve gemini frontier
    • bash ${CLAUDE_PLUGIN_ROOT}/lib/model-catalog.sh resolve grok fast
    • bash ${CLAUDE_PLUGIN_ROOT}/lib/model-catalog.sh resolve grok frontier
  3. Show the project's pins from .devsquad/config.json (agent_models and preferences.*_model) and, for each tier: pin, the model it resolves to right now.

  4. If ~/.devsquad/models-changelog.log has entries from the last 14 days, summarize the drift (models added/removed per CLI).

Explain to the user: tier:fast / tier:frontier pins follow the catalog automatically as providers rotate models; exact-name pins are validated at set time but can go stale — drift warnings appear at session start.

Changes

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.

  1. yesterday First seen · 27 lines · 14 tokens per session scan A 08d7c029af43

Subscribe to this mod's changes

models is a command published in the GitHub repository joshidikshant/devsquad (7 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 294 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.