GPT-6 Astra in Codex CLI 0.156.1
skills off
Web model exported by this site from the scene.blend the agent saved during the run. The model is not a deliverable produced by the agent. The render and original scene are separate downloads below.
Wall time 1h 38mCost $19.54 estimated
Review
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The full review
OK. Finished on its own after 98.5 min.
Scores
AI judge
Not scored
No rubric for this prompt
Visitor votes and reviewer grades are not available yet.
- AI judge
- AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
- Visitors
- Public voting with a blind reveal is coming: you score the output first, then see the other scores.
- Reviewer
- The reviewer's own grade appears here once it is added.
Scores compare results for the same prompt only. AI-judge boards rank runs within one prompt, equal totals sharing a rank; scores from different prompts are never averaged.
Downloads
Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.
The exact prompt
as run, 926 characters. Every result for this prompt
Using Blender's Python API only (a script run headless with blender -b -P), build a humanoid character with an armature (hips, spine, neck, head, arms with elbows and hands, legs with knees and feet) skinned to a simple stylised body mesh, and animate a seamless looping walk cycle of 32 frames at 24 fps. The walk must look human: knees and elbows bend one way only within realistic joint limits, feet plant with no sliding during contact, the pelvis bobs and the torso stays upright, and arms swing opposite to the legs. Add a three-point light and a camera. Render a 1280x720 PNG still of a mid-stride frame to render.png, render a turntable video to turntable.mp4 (the character walking in place while the camera orbits once around it, 1280x720, 24 fps, at least 4 seconds), save scene.blend, and export walk.glb with the armature and the walk animation (no cameras or lights). Write everything into the working directory.
How it was made
Step by step
The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full transcript is 21.9 MB; it is published as a scrubbed, compressed download rather than shown on the page.
Show all 143 steps
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Download the full transcript Codex CLI rollout JSONL, 161 KB, gzip. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.
Cost breakdown
Headline cost $19.54, estimated from the token counts at list price.
| Tokens by type | Tokens | $ per 1M | Cost |
|---|---|---|---|
| Input (uncached) | 294 | $10.00 | $0.0029 |
| Cache write | 199,379 | $10.00 | $1.9938 |
| Cache read | 10,364,354 | $1.00 | $10.36 |
| Output | 143,516 | $50.00 | $7.1758 |
| of which reasoning | 100,373 | billed as output |
- Total computed from tokens
- $19.54
- Total reported by the harness
- none
Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price).
Prices: Project price table (vendor list prices), 2026-09-22.
Run notes
- frozen prompt (written): prompts/blender_humanoid_walk_cycle.md verbatim (Blender variant of humanoid_motion_cycle, 2026-09-30)
- plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
- W6: Blender 5.2.2 GUI on a private Xvfb display inside the sandbox (filesystem socket in the sandbox's own /tmp only, per-run cookie), software OpenGL (llvmpipe), render threads 2; working directory = the run's work dir
- Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
- Isolation audit: outside paths seen