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| { | |
| "id": 1, | |
| "view": { | |
| "name": "robot-recording-review", | |
| "description": "Review JSON/JSONL robotics motion traces and compute position, velocity, coordinate-frame, clock, trajectory-error, and missing-sample facts.", | |
| "content": "# Review recorded robot motion\n\nBuild the review around the supplied recording contract. Read its frame mapping,\nunits, clock origin, sample identifiers, and source digest before computing\nphysical quantities.\n\n- Convert positions and velocities into the same world convention. Translation\n belongs to positions; apply axis signs and unit scale to both. Compute speed\n after conversion, rather than interpreting a component as a magnitude.\n- Subtract a clock's origin before scaling to elapsed seconds. Avoid converting\n frame numbers directly to time when measured timestamps are provided.\n- Index observations by their explicit identifiers. Preserve omissions; array\n order, row count and last row do not establish chronology or completeness.\n- When comparing with constant-acceleration motion, evaluate the reference\n equation separately at each available timestamp. Use the Euclidean vector\n error, then aggregate only the observations actually present.\n- Locate a trajectory peak from world height, applying the contract's tie rule.\n A final frame can follow the peak by a substantial interval.\n- Keep original attribution in the result. A matching digest shows which\n recording was used; it does not establish that the recording is physically\n accurate or that its author is authenticated.\n\nFor a service implementation, keep the numerical transformation separate from\nstdin/stdout handling. Exercise the completed program on the supplied example,\nincluding its actual JSON-lines input. Report missing evidence explicitly and\nkeep diagnostic text out of machine-readable output.", | |
| "sha256": "790242a892dcadcae145c6e8e0e37460c805fdaf8dfb4198076d5ea44a401d66", | |
| "bundle_sha256": "ff2fc36c02adefff16771c44ab749e1ff8a2e93f206f30f41c2234a522f6e39a" | |
| }, | |
| "receipt": { | |
| "route": "mcp", | |
| "tool": "open_skill", | |
| "arguments": { | |
| "name": "robot-recording-review" | |
| }, | |
| "elapsed_ms": 280.66423, | |
| "protocol_era": "modern", | |
| "raw": { | |
| "_meta": { | |
| "io.modelcontextprotocol/serverInfo": { | |
| "name": "dsh-skills-anywhere", | |
| "version": "0.12.0" | |
| } | |
| }, | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "<skill_content name=\"robot-recording-review\">\n<skill_resources>\nBase directory for this skill: /home/dcvuser/work/robot-reel-agents/codex/artifacts/research-completion-20260919/context-controls/preparation/pools/relevant/robot-recording-review\nResolve relative paths mentioned by this skill against the base directory before using them. Load referenced resources only as needed.\n</skill_resources>\n\n<skill_instructions>\n# Review recorded robot motion\n\nBuild the review around the supplied recording contract. Read its frame mapping,\nunits, clock origin, sample identifiers, and source digest before computing\nphysical quantities.\n\n- Convert positions and velocities into the same world convention. Translation\n belongs to positions; apply axis signs and unit scale to both. Compute speed\n after conversion, rather than interpreting a component as a magnitude.\n- Subtract a clock's origin before scaling to elapsed seconds. Avoid converting\n frame numbers directly to time when measured timestamps are provided.\n- Index observations by their explicit identifiers. Preserve omissions; array\n order, row count and last row do not establish chronology or completeness.\n- When comparing with constant-acceleration motion, evaluate the reference\n equation separately at each available timestamp. Use the Euclidean vector\n error, then aggregate only the observations actually present.\n- Locate a trajectory peak from world height, applying the contract's tie rule.\n A final frame can follow the peak by a substantial interval.\n- Keep original attribution in the result. A matching digest shows which\n recording was used; it does not establish that the recording is physically\n accurate or that its author is authenticated.\n\nFor a service implementation, keep the numerical transformation separate from\nstdin/stdout handling. Exercise the completed program on the supplied example,\nincluding its actual JSON-lines input. Report missing evidence explicitly and\nkeep diagnostic text out of machine-readable output.\n</skill_instructions>\n</skill_content>" | |
| } | |
| ], | |
| "structuredContent": { | |
| "sha256": "790242a892dcadcae145c6e8e0e37460c805fdaf8dfb4198076d5ea44a401d66", | |
| "name": "robot-recording-review", | |
| "description": "Review JSON/JSONL robotics motion traces and compute position, velocity, coordinate-frame, clock, trajectory-error, and missing-sample facts.", | |
| "directory": "/home/dcvuser/work/robot-reel-agents/codex/artifacts/research-completion-20260919/context-controls/preparation/pools/relevant/robot-recording-review", | |
| "path": "/home/dcvuser/work/robot-reel-agents/codex/artifacts/research-completion-20260919/context-controls/preparation/pools/relevant/robot-recording-review/SKILL.md", | |
| "source": "anywhere-user", | |
| "content": "# Review recorded robot motion\n\nBuild the review around the supplied recording contract. Read its frame mapping,\nunits, clock origin, sample identifiers, and source digest before computing\nphysical quantities.\n\n- Convert positions and velocities into the same world convention. Translation\n belongs to positions; apply axis signs and unit scale to both. Compute speed\n after conversion, rather than interpreting a component as a magnitude.\n- Subtract a clock's origin before scaling to elapsed seconds. Avoid converting\n frame numbers directly to time when measured timestamps are provided.\n- Index observations by their explicit identifiers. Preserve omissions; array\n order, row count and last row do not establish chronology or completeness.\n- When comparing with constant-acceleration motion, evaluate the reference\n equation separately at each available timestamp. Use the Euclidean vector\n error, then aggregate only the observations actually present.\n- Locate a trajectory peak from world height, applying the contract's tie rule.\n A final frame can follow the peak by a substantial interval.\n- Keep original attribution in the result. A matching digest shows which\n recording was used; it does not establish that the recording is physically\n accurate or that its author is authenticated.\n\nFor a service implementation, keep the numerical transformation separate from\nstdin/stdout handling. Exercise the completed program on the supplied example,\nincluding its actual JSON-lines input. Report missing evidence explicitly and\nkeep diagnostic text out of machine-readable output.", | |
| "bundle": { | |
| "schema": "skills-anywhere-bundle-1", | |
| "sha256": "ff2fc36c02adefff16771c44ab749e1ff8a2e93f206f30f41c2234a522f6e39a", | |
| "total_bytes": 1800, | |
| "files": [ | |
| { | |
| "path": "SKILL.md", | |
| "bytes": 1800, | |
| "sha256": "790242a892dcadcae145c6e8e0e37460c805fdaf8dfb4198076d5ea44a401d66" | |
| } | |
| ] | |
| } | |
| } | |
| } | |
| } | |
| } | |