agent-bom-ingest
Validate and ingest operator-pushed agent-bom inventory JSON from AWS, Azure, GCP, Snowflake, CMDB, or endpoint collectors. Use when a user has canonical inventory JSON and wants local findings, graph, policy, provenance, or auditor-ready exports without giving agent-bom direct cloud credentials.
Best use case
agent-bom-ingest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Validate and ingest operator-pushed agent-bom inventory JSON from AWS, Azure, GCP, Snowflake, CMDB, or endpoint collectors. Use when a user has canonical inventory JSON and wants local findings, graph, policy, provenance, or auditor-ready exports without giving agent-bom direct cloud credentials.
Teams using agent-bom-ingest should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ingest/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-bom-ingest Compares
| Feature / Agent | agent-bom-ingest | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Validate and ingest operator-pushed agent-bom inventory JSON from AWS, Azure, GCP, Snowflake, CMDB, or endpoint collectors. Use when a user has canonical inventory JSON and wants local findings, graph, policy, provenance, or auditor-ready exports without giving agent-bom direct cloud credentials.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# agent-bom-ingest Use this skill when the operator already produced canonical inventory JSON with an operator-pull adapter, endpoint collector, CMDB export, or AI-agent workflow. The default path is local validation plus local scan/export. ## Guardrails - Validate inventory with the packaged schema before treating it as evidence. - Require `discovery_provenance` and `permissions_used` where the source claims cloud/operator-pushed discovery. - Require a trustworthy `discovery_provenance.source_type` such as `operator_pushed_inventory` or `skill_invoked_pull`; do not infer it from prose. - Do not invent provenance, permissions, cloud scopes, or credential posture. - Do not push to a control plane unless the operator provides the destination URL and auth method explicitly. - Do not print raw tokens, URL credentials, private keys, or env var values. ## Workflow Validate first: ```bash agent-bom mcp validate inventory.json ``` Scan locally: ```bash agent-bom agents --inventory inventory.json --format json --output agent-bom-findings.json ``` Choose output by consumer: - SARIF for CI/code-scanning gates - JSON for graph, API, and automation - HTML or Markdown for human review - CycloneDX/SPDX for SBOM consumers ## Evidence Contract Valid inventory preserves `discovery_provenance`, `permissions_used`, `cloud_origin`, redaction state, package identity, server identity, tools, and security intelligence. If the inventory is malformed or missing required trust fields, stop and ask the operator to regenerate it rather than scanning a best-effort summary.
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