{
  "step": 1,
  "name": "open_skill",
  "arguments": {
    "name": "robot-recording-review"
  },
  "receipt": {
    "route": "mcp",
    "tool": "open_skill",
    "arguments": {
      "name": "robot-recording-review"
    },
    "elapsed_ms": 13.6333810000001,
    "protocol_era": "modern",
    "raw": {
      "_meta": {
        "io.modelcontextprotocol/serverInfo": {
          "name": "dsh-skills-anywhere",
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      "content": [
        {
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          "text": "<skill_content name=\"robot-recording-review\">\n<skill_resources>\nBase directory for this skill: /home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/skill-pool/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>"
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        "name": "robot-recording-review",
        "description": "Review recorded robot motion when position, velocity, coordinate-frame, clock, or missing-sample facts must be computed from a trace.",
        "directory": "/home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/skill-pool/robot-recording-review",
        "path": "/home/dcvuser/work/robot-reel-agents/codex/artifacts/research-rollout-20260914/skill-pool/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": "c1762cbd9855189df50d4e303dc7beeacedbb0498d59ef5b6314e79e5fe50532",
          "total_bytes": 1792,
          "files": [
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              "path": "SKILL.md",
              "bytes": 1792,
              "sha256": "fefef58511b20107efb3b06e938e212f9b922f690a7c002a04af57bb17f20381"
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  "result": {
    "name": "robot-recording-review",
    "description": "Review recorded robot motion when position, velocity, coordinate-frame, clock, or missing-sample facts must be computed from a trace.",
    "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": "fefef58511b20107efb3b06e938e212f9b922f690a7c002a04af57bb17f20381",
    "bundle_sha256": "c1762cbd9855189df50d4e303dc7beeacedbb0498d59ef5b6314e79e5fe50532"
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}