pstack: add Opus 5 to model panels (#169)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
This commit is contained in:
lauren
2026-07-26 00:56:42 +00:00
committed by GitHub
parent 04166ac891
commit d45ad028b7
7 changed files with 13 additions and 12 deletions
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{
"name": "pstack",
"displayName": "pstack",
"version": "0.11.8",
"version": "0.11.9",
"description": "if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.",
"author": {
"name": "Lauren Tan"
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new here? the [pstack guide](./docs/guide/README.md) walks you through a first real task, from setup and prompting through verification and overnight runs.
that's it. the other skills are situational; the mode skill uses them for you as needed. out of the box the mode splits work by model strength: precisely-specified code goes to sol, fast mechanical code goes to grok, and prose and judgment go to fable. the default panel is fable / sol / grok. [`/setup-pstack`](./skills/setup-pstack/SKILL.md) changes any of it.
that's it. the other skills are situational; the mode skill uses them for you as needed. out of the box the mode splits work by model strength: precisely-specified code goes to sol, fast mechanical code goes to grok, and prose and judgment go to fable. the default panel is fable / sol / grok / opus 5. [`/setup-pstack`](./skills/setup-pstack/SKILL.md) changes any of it.
## usage
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Run the **arena** skill with the design-sketch task and the Phase A grounding artifacts. Pass `references/runner-prompt.md` as each runner's prompt. Each candidate produces a design package shaped per `references/rationale-template.md`: the caller's usage written first, then the type sketch, function signatures, module map, and prose rationale derived from it.
Use your configured architect runners (defaults `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`).
Use your configured architect runners (defaults `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`, `claude-opus-5-thinking-xhigh`).
This is the **exhaust-the-design-space** principle skill made concrete. Whole-shape alternatives, not point fixes inside one shape.
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1. State the artifact each candidate is producing.
2. Derive the rubric. State what success looks like for *this* task, then turn it into 3-6 concrete gradeable criteria. Concrete: `Adds a --dry-run flag that skips writes`. Vague: `code is correct`. The rubric is the picker's tool in Phase D; candidates only see the task.
3. Pick the runners. Use `arena runners` from `~/.cursor/rules/pstack-models.mdc` when present. Otherwise default to one each on `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`. Spawn more when the arena covers multiple design directions. Same model N times when the work is generation-bound rather than judgment-sensitive.
3. Pick the runners. Use `arena runners` from `~/.cursor/rules/pstack-models.mdc` when present. Otherwise default to one each on `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`, `claude-opus-5-thinking-xhigh`. Spawn more when the arena covers multiple design directions. Same model N times when the work is generation-bound rather than judgment-sensitive.
4. Assign output paths. Each candidate writes to its own location (a git worktree where possible, otherwise `/tmp/arena-<slug>/candidate-<n>/`). N candidates writing to the same path is shared mutable state and fails the the **separate-before-serializing-shared-state** principle skill test.
## Phase B: Fan out
@@ -38,7 +38,7 @@ If a candidate fails to produce output, proceed with N-1 and note the dropout in
## Phase C: Cross-judge
After all Phase B candidates complete, choose one model from the `arena cross-judge pool` in `~/.cursor/rules/pstack-models.mdc` when present. Otherwise use `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`. Prefer a different model family from the parent's. Spawn one readonly judge subagent on that model. It sees the rubric and the candidates by path label, scores each criterion, and recommends a base with rationale. It runs in parallel with the parent's reading in Phase D, not with the candidates themselves. Spawning while candidates are still writing means the judge sees partial or empty outputs and reports them as dropouts.
After all Phase B candidates complete, choose one model from the `arena cross-judge pool` in `~/.cursor/rules/pstack-models.mdc` when present. Otherwise use `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`, `claude-opus-5-thinking-xhigh`. Prefer a different model family from the parent's. Spawn one readonly judge subagent on that model. It sees the rubric and the candidates by path label, scores each criterion, and recommends a base with rationale. It runs in parallel with the parent's reading in Phase D, not with the candidates themselves. Spawning while candidates are still writing means the judge sees partial or empty outputs and reports them as dropouts.
## Phase D: Pick a base
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### Step 2. Spawn Critics
After the explanation is complete, spawn one architectural critic per model in your configured how-critics list (defaults `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`), all in a single message.
After the explanation is complete, spawn one architectural critic per model in your configured how-critics list (defaults `claude-fable-5-thinking-max`, `gpt-5.6-sol-max`, `grok-4.5-fast-xhigh`, `claude-opus-5-thinking-xhigh`), all in a single message.
For each critic:
- `subagent_type`: `generalPurpose`
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## Step 3, Spawn Reviewers
Launch all reviewers in a single message using the Task tool. Use the `interrogate reviewers` list from `~/.cursor/rules/pstack-models.mdc` when present, one reviewer per entry, extending or shrinking the Reviewer A/B/C labels below to the configured entry count; otherwise use the table defaults.
Launch all reviewers in a single message using the Task tool. Use the `interrogate reviewers` list from `~/.cursor/rules/pstack-models.mdc` when present, one reviewer per entry, extending or shrinking the Reviewer A/B/C/D labels below to the configured entry count; otherwise use the table defaults.
| Subagent | Default model |
|----------|---------------|
| Reviewer A | `claude-fable-5-thinking-max` |
| Reviewer B | `gpt-5.6-sol-max` |
| Reviewer C | `grok-4.5-fast-xhigh` |
| Reviewer D | `claude-opus-5-thinking-xhigh` |
For each reviewer:
- `subagent_type`: `generalPurpose`
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hardest tasks: claude-fable-5-thinking-max
how explorer: grok-4.5-fast-xhigh
how explainer: claude-fable-5-thinking-max
how critics: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh
how critics: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh, claude-opus-5-thinking-xhigh
why investigators: grok-4.5-fast-xhigh
why synthesizer: claude-fable-5-thinking-max
reflect tooling: gpt-5.6-sol-max
reflect judgment, divergent, synthesizer: claude-fable-5-thinking-max
arena runners: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh
arena cross-judge pool: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh
architect runners: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh
interrogate reviewers: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh
arena runners: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh, claude-opus-5-thinking-xhigh
arena cross-judge pool: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh, claude-opus-5-thinking-xhigh
architect runners: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh, claude-opus-5-thinking-xhigh
interrogate reviewers: claude-fable-5-thinking-max, gpt-5.6-sol-max, grok-4.5-fast-xhigh, claude-opus-5-thinking-xhigh
```
### 6. Confirm