← DEEPBOM Artifact EvidenceCONTENT HISTORY

Update to DEEPBOM Artifact Evidence

Snapshot Oct 24, 2026 · 13:17 UTC · version 2.0.0

WHAT CHANGED

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.

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All fields and original values.

Full description

Before

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 ...

After

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

Before

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 ...

After

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

Before

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...

After

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

Before

Sep 30, 2026 · 23:11 UTC

Not present

After

Oct 24, 2026 · 13:17 UTC

false

Compare saved observations

Download comparison JSON
Full technical diff · 8 changed fields

added /is_template_instance

BEFORE
Field was absent
AFTER
false

changed /release/description

BEFORE
"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."
AFTER
"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

BEFORE
"pluginrel_735eb51b15c0819198635720f0f0da72"
AFTER
"pluginrel_5803fa35939081918c2a7bca3ea00090"

changed /release/interface/default_prompt

BEFORE
"Inspect this ONNX model's quantization evidence and limits."
AFTER
"Inspect this model’s structure and quantization evidence. Which layers should I examine next?"

changed /release/interface/default_prompts

BEFORE
[
  "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."
]
AFTER
[
  "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

BEFORE
"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."
AFTER
"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

BEFORE
[
  {
    "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": {
      "brand_color": null,
      "default_prompt": null,
      "display_name": "deepbom-artifact-evidence",
      "icon_large_url": null,
      "icon_small_url": null,
      "iconography": "code",
      "short_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."
    },
    "name": "deepbom-artifact-evidence",
    "plugin_release_skill_id": "pluginrsk_6aab61ea56b48191b479779a62597562"
  }
]
AFTER
[
  {
    "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": {
      "brand_color": null,
      "default_prompt": null,
      "display_name": "deepbom-artifact-evidence",
      "icon_large_url": null,
      "icon_small_url": null,
      "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"
  }
]

changed /release/version

BEFORE
"1.0.0"
AFTER
"2.0.0"
Full snapshot data
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  "release": {
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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.",
    "display_name": "DEEPBOM Artifact Evidence",
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    "interface": {
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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.",
        "Assess this model’s static compatibility with my target hardware, and guide me to deeper exploration on deepbom.org."
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      "plugin_category_id": "developer tools",
      "privacy_policy_url": "https://deepbom.org/privacy",
      "screenshot_urls": [],
      "short_description": "Inspect AI model artifacts",
      "terms_of_service_url": "https://deepbom.org/terms",
      "website_url": "https://deepbom.org/"
    },
    "keywords": [],
    "mcp_servers": [],
    "onboarding_skill_name": null,
    "requires_local_executor": false,
    "skills": [
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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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          "icon_large_url": null,
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SHA-256 of public snapshot: 22c35adf85174f2850813a1b4c7d8e00ec5ff80ab3c24ccdaa55f7e83c248d64