glayguo/noteflow-research-pilots

Keep the failed attempts. Check the artifact.

Versioned public development evidence from Robot Reel × Skills Anywhere × EvalArc, recorded 14 September 2026 on an NVIDIA L40S. This is an inspectable engineering casebook, not a held-out benchmark or training corpus with established efficacy.

Configuration	Actual experiment	What the result supports
skill-impact	27 Qwen3-8B trials, 3 profiles × 3 delivery conditions × 3 seeds	All failures retained. Final-profile skill discovery works, but no skill trial passes. Two final-profile no-skill trials pass. Profiles change context/discovery; do not pool them or infer causality.
composition	12 Qwen3-8B trials, fixed synthetic skills loaded through real MCP	3 correct outputs; no literal marker in public files or plain model text. Eight explicit grader controls pass; not a general leakage detector.
handoff	6 Qwen3-4B continuations of one public Qwen3-8B candidate, with/without Funes recall	All score 87.5%; no memory accuracy gain observed. Separate local sessions, not native commercial coding agents.
openenv	2 actual Blender edits through OpenEnv 0.4.2	Wrong recipe earns 0, correct recipe 1 after native readback; extra completion-claim field rejected. No RL training or aesthetic reward.
libero-plus	3 native SmolVLA runs from one paired state	Baseline success at 77 actions, camera ID609 step limit at220, light ID2124 success at87. Not the full benchmark or real hardware.

Interactive skill explorer · Composition, handoff and Harbor · Captured Scene Lab · Official Plus replay.

Files and reproduction

artifacts/research-records.zip retains all three original skill profiles, the two supplementary model pilots, Harbor native result receipts, the first import failure and successful retry, and independent Python/JavaScript fault audits. All 33 skill/handoff ATIF exports passed Harbor0.23.0's actual schema validator. evidence/skill-impact adds the source-checked interactive view and candidate/evaluation downloads.

artifacts/scene-lab-native.zip contains two packed native Blender files and their original source/edit/native-check metadata. Poly Haven Coast Rocks02 is CC0. These scenes were rendered with Blender4.5.13 Cycles OptiX; the browser surface Gaussians are mesh-derived, not trained 3DGS. The separate heightfield is not a calibrated contact model.

evidence/openenv includes exact executed harness bytes, process logs and independent native checks. evidence/libero-plus includes paired initial states, native changes, policy actions and all source frames. SHA-256 manifests check consistency, not producer authentication.

The pinned Cosmos Policy recorder is implemented in Robot Reel, but its required gated NVIDIA Video2World dependency returned403. No successful Cosmos inference or predicted future frames are included. The policy weights use NVIDIA's noncommercial research terms and are not redistributed here.

Models, consent and limitations

Qwen3-8B revision b968826d9c46dd6066d109eabc6255188de91218; Qwen3-4B revision1cfa9a7208912126459214e8b04321603b3df60c. Skill pilot uses12 turns,4096 tokens/turn,temperature0.2; exact per-experiment budgets are retained. SmolVLA revision6721902bc4d61e50a3bfdb11dfb4cb626f05d102. Model weights are not included.

Only explicitly selected, generated public development sessions are published. No customer data, private agent history, API keys, robot hardware measurements or additional training is involved. The synthetic private marker is intentional research data, not a leaked credential. The small seed counts do not support broad reliability claims.

Source projects: Robot Reel, Skills Anywhere, EvalArc. All code generation and experiment preparation were AI-assisted; this dataset is not represented as a human-authored SkillsBench submission. See LICENSES.md and per-record source attribution.