Borrowing it
Nothing to install: this file belongs to himkt/cafleet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/himkt/cafleet/main/.claude/skills/cafleet-model-list-refresh/SKILL.mdgit clone --depth 1 https://github.com/himkt/cafleetWrote 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/skills/himkt/cafleet/cafleet-model-list-refresh)<a href="https://agentmods.dev/skills/himkt/cafleet/cafleet-model-list-refresh"><img src="https://agentmods.dev/badge/skills/himkt/cafleet/cafleet-model-list-refresh/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/skills/himkt/cafleet/cafleet-model-list-refresh"><img src="https://agentmods.dev/badge/skills/himkt/cafleet/cafleet-model-list-refresh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00093 | $0.02029 |
| Opus 5 | $0.00046 | $0.01014 |
| Sonnet 5 | $0.00019 | $0.00406 |
| Haiku 4.5 | $0.00009 | $0.00203 |
Grade A, and why
cafleet-model-list-refresh 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 10d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CAFleet Model List Refresh
Refresh the repository's model list — the per-backend model tables of
skills/cafleet/reference/model-list.md — from the approved official
sources, under explicit maintainer review. The repository file is the release
source: a running Director reads only its deployed skill replica, so a refresh
reaches Directors exclusively through the release/deployment transaction below.
Approved sources (exhaustive allowlist)
Fetch only these five official pages. Search results, third-party price
sites, and social posts are never model-list authority. The first four are
pricing and availability authority; the fifth is capability authority for the
claude backend's context windows and Claude Code model-string syntax, and
is never used to price a model.
| Source | What it feeds | URL |
|---|---|---|
| Anthropic pricing | claude prices |
https://platform.claude.com/docs/en/about-claude/pricing.md |
| OpenAI pricing | codex prices |
https://developers.openai.com/api/docs/pricing |
| Codex model availability | codex availability |
https://learn.chatgpt.com/docs/models.md |
| OpenCode Zen models and pricing | opencode prices and availability |
https://opencode.ai/docs/zen.md |
| Claude Code model configuration | claude context windows and [1m] applicability |
https://code.claude.com/docs/en/model-config.md |
Refresh procedure
- Fetch all five approved sources. If any source cannot be fetched or parsed, stop: leave the model list unchanged, report the error, and let it become stale rather than fabricating values.
- Extract pricing facts only: the currently effective standard input and output prices (USD per MTok) and availability/deprecation qualifiers. Do not copy long provider text into the repository, and do not present the pricing pages as benchmark evidence — they are pricing/availability sources only.
- Refresh the
claudeandcodextables from their provider pricing pages, and refresh theopencodetable with the dedicated procedure below — the Zen catalog behaves differently from the provider pages, so follow that procedure exactly. Forcodex, pricing and availability come from different pages: price each model from the OpenAI pricing page, but take Codex availability from the Codex models page (https://learn.chatgpt.com/docs/models.md) — the table carries only the models Codex currently offers in its model picker. A model absent there or demoted to a legacy model (reachable only viacodex -m/config.toml) is removed from the table even when the pricing page still prices it; legacy models remain manual pass-through--modelvalues. - Reapply the capability classes explicitly. The
Classdescriptions and the most-to-least-capable row ordering are reviewed maintainer judgment, not provider benchmark claims; changing a class or the ordering requires reviewed policy approval in the same pull request. Every row carries both prices from its approved source. Re-derive the Monitor and reviewer defaults table from the refreshed backend tables, and mirror its values into each backend section's{monitor_model}and{reviewer_model}rows (skills/cafleet/reference/coding-agent-overlays.md). - Re-verify every
clauderow's context window on every refresh, even when the prices are unchanged. Take each window from the Claude Code model configuration page's Extended context section and record it in theclaudetable'sContextcolumn. That page is also the authority for whether a row's--modelvalue carries the[1m]suffix, which is a Claude Code model-string suffix stripped before the request reaches the provider — it is meaningless for thecodexandopencodetables, whose values never carry it. Apply the suffix only where it changes the window a member actually gets:- A model the page lists as always running at 1M on the Anthropic API carries no suffix — the window is already 1M and the suffix is inert.
- A model the page gives no 1M variant carries no suffix.
- A model without 1M support carries no suffix; appending it there is a malformed value.
- Where the page shows the window is opt-in for the reader's plan, the suffix belongs in the page's note rather than the row, so the Director applies it per spawn against the operator's plan instead of every spawn inheriting a credit-billed window.
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.
- 10d ago First seen · 152 lines · 93 tokens per session scan A f37f7dafaeca
cafleet-model-list-refresh is a skill published in the GitHub repository himkt/cafleet (50 stars, last pushed today), licensed MIT. It adds 93 tokens to every session and 2,029 once invoked, about $0.0005 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.
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