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Model Compass

NEEKHIL VATSA v0.2.0

Compare Codex tradeoffs

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From the developer

Declared capabilities

  • Compare Codex model tradeoffs
  • Visualize effort, speed, and cost
  • Run optional matched trials

Not specified in the available declarations: limitations, pricing & account requirements.

Onboarding example

Compare Codex settings for this task and show Model Compass.
Sources & dates

Developer declarations; not independently tested. Listing last checked Nov 7, 2026. Package observed Nov 7, 2026.

View package source →

Description

From the marketplace listing

Model Compass helps you choose a Codex model, reasoning effort, and Standard or Fast mode with evidence instead of intuition. It joins the live Codex catalog with official OpenAI pricing, guidance, and evaluations, clearly labels domain-specific proxies and unknowns, and offers opt-in interactive comparisons or controlled trials on your own task. Visuals stay quiet until you ask for them.

Language: English · Automatically detected from descriptions.

Matches for “no code”

Exact text from the indicated source. A mention alone does not establish support for your task.

Publisher full description

Model Compass helps you choose a Codex model, reasoning effort, and Standard or Fast mode with evidence instead of intuition. It joins the live Codex catalog with official OpenAI pricing, guidance, and evaluations, clearly labels domain-specific proxies and unknowns, and offers opt-in interactive comparisons or controlled trials on your own task. Visuals stay quiet until you ask for them.

Publisher subtitle

Compare Codex tradeoffs

Publisher capabilities · listing

Compare Codex model tradeoffs Visualize effort, speed, and cost Run optional matched trials

Publisher description

Quiet-by-default, evidence-backed Codex model, effort, and speed comparisons.

What changed

Files & skills

File archives

Plugin package16 files · 125 KBBrowse files →
Skill instructions
compare-model-tradeoffs7.58 KB

View saved version →

---
name: compare-model-tradeoffs
description: Compare Codex model, reasoning-effort, and Standard/Fast combinations using the live Codex catalog, official OpenAI pricing and evaluations, and optional matched local measurements. Use when a user asks which Codex model or effort to choose, what a setting gains or loses, whether Fast mode is worth it, which combinations are supported, asks to turn Model Compass on or off, requests its companion view, asks for an evidence-backed interactive comparison, or requests a controlled model duel on their own task.
---

# Compare Model Tradeoffs

Produce a decision receipt that separates what OpenAI establishes, what the
user's own runs establish, what is derived, and what remains unknown.

## Display state

Model Compass is quiet by default. Maintain a conversational preference named
`model_compass_visual` for the current thread:

- Default `model_compass_visual` to `off` in every new or forked thread.
- `Show Model Compass`, `Visualize this comparison`, and clear equivalents are
  one-shot requests. Render once without changing the preference.
- `Enable Model Compass for this thread`, `Turn Model Compass on`, and clear
  equivalents set the preference to `on`. Acknowledge the change; render
  immediately only when the same turn also asks for a comparison.
- `Disable Model Compass for this thread`, `Turn Model Compass off`, and clear
  equivalents set it to `off`. The latest explicit instruction wins.
- Treat a bare `turn off` as Model Compass only when no competing target is
  active in the conversation. Otherwise ask one short clarification.
- When resuming the same thread, recover the latest explicit preference from
  its history. If history does not establish a value, use `off`.
- When writing a handoff or compaction summary, preserve exactly one state
  line: `Model Compass visual: on` or `Model Compass visual: off`.

This preference is transcript-backed rather than durable host state. Never
claim stronger persistence than the available thread history establishes.

When the preference is `off`, provide an ordinary model-choice answer as a
concise text decision receipt without an inline visualization. End with one
unobtrusive sentence offering `Show Model Compass` when a visual would help.
When it is `on`, render only on relevant model, effort, speed, cost, or latency
decision turns. A one-turn `text only` request does not change the preference.
Disabling affects future responses; do not claim to remove visuals already in
the transcript.

`Open Model Compass companion view` is a one-shot request. Render the
narrow-friendly delta racetrack, then explain once that the desktop app can pop
out the active chat and optionally keep it on top. Do not change
`model_compass_visual` unless the user also explicitly enables it.

Do not persist the display preference to files or other threads. Do not
automatically open, move, resize, pin, or keep a window on top. Do not render a
visual on unrelated turns merely because the preference is on.

Pets are a separate user-controlled ChatGPT desktop feature. A plugin cannot
detect that the app was minimized, wake or tuck away a pet, replace the pet
activity tray, or put this visualization inside the pet overlay. If the user
asks for pet integration, explain that an awake pet can show cross-chat status
and return them to ChatGPT, but `/pet`, **Wake Pet**, and **Tuck Away Pet** stay
under user control.

## Workflow

1. Read `references/evidence-policy.md` and
   `references/companion-mode.md`.
2. Infer the task shape, billing surface, current choice, and hard constraints
   from the conversation. Use GPT-5.6 Sol + medium + Standard as the documented
   Power baseline when the user gives no baseline.
3. Discover valid choices from the live Codex catalog:

   ```bash
   node scripts/get-codex-catalog.mjs
   ```

   The helper starts the local Codex app server and calls only its read-only
   `model/list` method. It does not read credentials or Codex files dire

Preview of the first 4,000 characters. Read full instructions →

Referenced files: 9 — file references are metadata, not package contents.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
NEEKHIL VATSA

Declared capabilities

  • Compare Codex model tradeoffs
  • Visualize effort, speed, and cost
  • Run optional matched trials

Package observed Nov 7, 2026.

Technical details
First seen
Sep 30, 2026 · 22:02 UTC
Last seen
Nov 7, 2026 · 18:00 UTC
Collection status
Collected

plugins_6a7a0fafc7e881918b67a46ce717faa1

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