Update to DEEPBOM Artifact Evidence
Snapshot Oct 24, 2026 · 13:17 UTC · version 2.0.0
Package or technical metadata updated
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Package file
Sep 30, 2026 · 23:11 UTC
181fddf4605e000034f21c3123605c762de5f86a98f79cc277d08324c5ef1c6e
Oct 24, 2026 · 13:17 UTC
53fe793f403840d2aa0b6d15907af96c814ab4aa5369968f4c9fc6bc30884e71
Package file
Sep 30, 2026 · 23:11 UTC
2569
Oct 24, 2026 · 13:17 UTC
4195
Package file
Sep 30, 2026 · 23:11 UTC
85d86c599dae62973ea92c6494fdeee1eea4a7b241210891935189988e091140
Oct 24, 2026 · 13:17 UTC
e11bd462295e91671921c733aad49f238c95c8e4123eb52db22b9771f8e67384
Package file
Sep 30, 2026 · 23:11 UTC
4837
Oct 24, 2026 · 13:17 UTC
11057
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.codex-plugin/plugin.json
− removed · + added
--- before +++ after @@ -3,18 +3,18 @@ "author": { "name": "JUNHWAN KWON" }, - "description": "Inspect attached AI model deployment files without executing model code. DEEPBOM analyzes supported TFLite, ONNX, GGUF, SafeTensors, Core ML, and ExecuTorch files in the browser and reports SHA-256, serialized structure, tensor encodings, quantization evidence, and static findings. Explore Model IR tables and visualizations, and export SVG, PNG, Word-ready bundles, CycloneDX 1.7 artifact evidence, or SPDX 2.3 artifact inventories. Use Send PNG to chat to share a selected visualization or Save via ChatGPT to obtain a download link for a generated file when supported by the host. These actions share the generated export, not the model file. Results separate artifact defects, cautions, and evidence gaps, and explain what static analysis cannot establish. Use the local CLI or local MCP for confidential, very large, sharded, or multi-file artifacts.", + "description": "Inspect attached AI model deployment files without executing model code. DEEPBOM analyzes supported TFLite, ONNX, GGUF, SafeTensors, Core ML, and ExecuTorch files in the browser and reports SHA-256, serialized structure, tensor encodings, quantization evidence, and static findings. Ask follow-up questions to inspect a layer, search and page through model evidence, investigate improvement priorities, or compare available static delegate profiles. Inspect encoded activation fusion while keeping runtime fusion unobserved. Explore Model IR tables and visualizations, and export SVG, PNG, Word-ready bundles, CycloneDX 1.7 artifact evidence, or SPDX 2.3 artifact inventories. Use Send PNG to chat to share a selected visualization or Save via ChatGPT to obtain a download link for a generated file when supported by the host. These actions share the generated export, not the model file. Results separate artifact defects, cautions, and evidence gaps, and explain what static analysis cannot establish. Use the local CLI or local MCP for confidential, very large, sharded, or multi-file artifacts. Ask for optional weight distributions, channel statistics, similarity, singular spectra, sparsity or quantization evidence with explicit decoder and budget coverage. Discover workflows for comparison, pruning investigation, BOM verification, metadata and runtime evidence; continue in the relevant deepbom.org workspace for richer interaction, or use the provided local CLI commands. Web continuation requires selecting the model again; model files and results are not transferred by the link.", "interface": { "capabilities": [], "category": "Developer Tools", "defaultPrompt": [ - "Inspect this ONNX model's quantization evidence and limits.", - "List the tensor encodings in this GGUF artifact.", - "Check this TFLite model for serialized payload defects." + "Inspect this model\u2019s structure and quantization evidence. Which layers should I examine next?", + "Analyze this model\u2019s weight distributions and sparsity, and visualize the supported results.", + "Assess this model\u2019s static compatibility with my target hardware, and guide me to deeper exploration on deepbom.org." ], "developerName": "JUNHWAN KWON", "displayName": "DEEPBOM Artifact Evidence", - "longDescription": "Inspect attached AI model deployment files without executing model code. DEEPBOM analyzes supported TFLite, ONNX, GGUF, SafeTensors, Core ML, and ExecuTorch files in the browser and reports SHA-256, serialized structure, tensor encodings, quantization evidence, and static findings. Explore Model IR tables and visualizations, and export SVG, PNG, Word-ready bundles, CycloneDX 1.7 artifact evidence, or SPDX 2.3 artifact inventories. Use Send PNG to chat to share a selected visualization or Save via ChatGPT to obtain a download link for a generated file when supported by the host. These actions share the generated export, not the model file. Results separate artifact defects, cautions, and evidence gaps, and explain what static analysis cannot establish. Use the local CLI or local MCP for confidential, very large, sharded, or multi-file artifacts.", + "longDescription": "Inspect attached AI model deployment files without executing model code. DEEPBOM analyzes supported TFLite, ONNX, GGUF, SafeTensors, Core ML, and ExecuTorch files in the browser and reports SHA-256, serialized structure, tensor encodings, quantization evidence, and static findings. Ask follow-up questions to inspect a layer, search and page through model evidence, investigate improvement priorities, or compare available static delegate profiles. Inspect encoded activation fusion while keeping runtime fusion unobserved. Explore Model IR tables and visualizations, and export SVG, PNG, Word-ready bundles, CycloneDX 1.7 artifact evidence, or SPDX 2.3 artifact inventories. Use Send PNG to chat to share a selected visualization or Save via ChatGPT to obtain a download link for a generated file when supported by the host. These actions share the generated export, not the model file. Results separate artifact defects, cautions, and evidence gaps, and explain what static analysis cannot establish. Use the local CLI or local MCP for confidential, very large, sharded, or multi-file artifacts. Ask for optional weight distributions, channel statistics, similarity, singular spectra, sparsity or quantization evidence with explicit decoder and budget coverage. Discover workflows for comparison, pruning investigation, BOM verification, metadata and runtime evidence; continue in the relevant deepbom.org workspace for richer interaction, or use the provided local CLI commands. Web continuation requires selecting the model again; model files and results are not transferred by the link.", "privacyPolicyURL": "https://deepbom.org/privacy", "shortDescription": "Inspect AI model artifacts", "supportURL": "https://deepbom.org/support", @@ -23,5 +23,5 @@ }, "name": "app-6aa8935a002c8191a3b3d80407716bbb", "skills": "./skills", - "version": "1.0.0" + "version": "2.0.0" } \ No newline at end of file
Full technical diff · 4 changed fields
changed /files/.codex-plugin~1plugin.json/sha256
"181fddf4605e000034f21c3123605c762de5f86a98f79cc277d08324c5ef1c6e"
"53fe793f403840d2aa0b6d15907af96c814ab4aa5369968f4c9fc6bc30884e71"
changed /files/.codex-plugin~1plugin.json/size
2569
4195
changed /files/skills~1deepbom-artifact-evidence~1SKILL.md/sha256
"85d86c599dae62973ea92c6494fdeee1eea4a7b241210891935189988e091140"
"e11bd462295e91671921c733aad49f238c95c8e4123eb52db22b9771f8e67384"
changed /files/skills~1deepbom-artifact-evidence~1SKILL.md/size
4837
11057
Full snapshot data
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".codex-plugin/plugin.json": {
"sha256": "53fe793f403840d2aa0b6d15907af96c814ab4aa5369968f4c9fc6bc30884e71",
"size": 4195
},
"skills/deepbom-artifact-evidence/SKILL.md": {
"sha256": "e11bd462295e91671921c733aad49f238c95c8e4123eb52db22b9771f8e67384",
"size": 11057
}
}
}SHA-256 of public snapshot: d2f161141a2cecbe35abd972567d99a13601804f8dff611e64f7ef2aa1169d61