Update to DEEPBOM Artifact Evidence
Snapshot Oct 24, 2026 · 13:17 UTC · version 2.0.0
Declared capabilities changed
Full description — Now says: Ask follow-up questions to inspect a layer, search and page through model evidence, investigate improvement priorities, or compare available static delegate...
Observed in instructions or declared skills. Runtime behavior has not been tested.
Up to 3 plugins free · no card required.
All fields and original values.
Full description
Sep 30, 2026 · 23:11 UTC
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 ...
Oct 24, 2026 · 13:17 UTC
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 unobser...
Long description
Sep 30, 2026 · 23:11 UTC
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 ...
Oct 24, 2026 · 13:17 UTC
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 unobser...
Declared skills
Sep 30, 2026 · 23:11 UTC
[{"description":"Inspect attached AI deployment artifacts with the DEEPBOM ChatGPT plugin. Use for static model structure, tensor encodings, quantization evidence, Model IR visualizations, and CycloneDX or SPDX artifact exports from supp...
Oct 24, 2026 · 13:17 UTC
[{"description":"Inspect attached AI deployment artifacts and follow up with layer, finding, optimization-investigation, static delegate, optional weight, and serialized activation-fusion queries. Use DEEPBOM Evidence IR, Model IR visual...
Is template instance
Sep 30, 2026 · 23:11 UTC
Not present
Oct 24, 2026 · 13:17 UTC
false
Compare saved observations
Download comparison JSONFull technical diff · 8 changed fields
added /is_template_instance
Field was absent
false
changed /release/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."
"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."
changed /release/id
"pluginrel_735eb51b15c0819198635720f0f0da72"
"pluginrel_5803fa35939081918c2a7bca3ea00090"
changed /release/interface/default_prompt
"Inspect this ONNX model's quantization evidence and limits."
"Inspect this model’s structure and quantization evidence. Which layers should I examine next?"
changed /release/interface/default_prompts
[ "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’s structure and quantization evidence. Which layers should I examine next?", "Analyze this model’s weight distributions and sparsity, and visualize the supported results.", "Assess this model’s static compatibility with my target hardware, and guide me to deeper exploration on deepbom.org." ]
changed /release/interface/long_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."
"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."
changed /release/skills
[
{
"description": "Inspect attached AI deployment artifacts with the DEEPBOM ChatGPT plugin. Use for static model structure, tensor encodings, quantization evidence, Model IR visualizations, and CycloneDX or SPDX artifact exports from supported TFLite, ONNX, GGUF, SafeTensors, Core ML, or ExecuTorch files. This workflow does not execute models or establish measured performance, accuracy, or regulatory compliance.",
"interface": {
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},
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"plugin_release_skill_id": "pluginrsk_6aab61ea56b48191b479779a62597562"
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][
{
"description": "Inspect attached AI deployment artifacts and follow up with layer, finding, optimization-investigation, static delegate, optional weight, and serialized activation-fusion queries. Use DEEPBOM Evidence IR, Model IR visualizations, and CycloneDX or SPDX exports for supported TFLite, ONNX, GGUF, SafeTensors, Core ML, or ExecuTorch files. Does not execute models or establish measured performance, accuracy, or regulatory compliance.",
"interface": {
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"display_name": "deepbom-artifact-evidence",
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"iconography": "radar",
"short_description": "Inspect attached AI deployment artifacts and follow up with layer, finding, optimization-investigation, static delegate, optional weight, and serialized activation-fusion queries. Use DEEPBOM Evidence IR, Model IR visualizations, and CycloneDX or SPDX exports for supported TFLite, ONNX, GGUF, SafeTensors, Core ML, or ExecuTorch files. Does not execute models or establish measured performance, accuracy, or regulatory compliance."
},
"name": "deepbom-artifact-evidence",
"plugin_release_skill_id": "pluginrsk_6abb8499a9448191bf34d4344be1ad01"
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]changed /release/version
"1.0.0"
"2.0.0"
Full snapshot data
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"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.",
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"default_prompt": "Inspect this model’s structure and quantization evidence. Which layers should I examine next?",
"default_prompts": [
"Inspect this model’s structure and quantization evidence. Which layers should I examine next?",
"Analyze this model’s weight distributions and sparsity, and visualize the supported results.",
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"description": "Inspect attached AI deployment artifacts and follow up with layer, finding, optimization-investigation, static delegate, optional weight, and serialized activation-fusion queries. Use DEEPBOM Evidence IR, Model IR visualizations, and CycloneDX or SPDX exports for supported TFLite, ONNX, GGUF, SafeTensors, Core ML, or ExecuTorch files. Does not execute models or establish measured performance, accuracy, or regulatory compliance.",
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