agent-bom runtime
AI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the user mentions runtime monitoring, context graphs, lateral movement analysis, audit log correlation, or vulnerability analytics. Skill: agent-bom runtime Owner: msaad00 Summary: AI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the user mentions runtime monitoring, context graphs, lateral movement analysis, audit log correlation, or vulnerability analytics. Tags: latest:0.108.3 Version history: v0.108.3 | 2026-10-08T22:18:13.720Z | user Releas
Rank
62
Safety
84
Downloads
5.7k
Updated
Oct 9, 2026
Version
0.108.3
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 5.7K downloads reported by the source. Last updated 10/9/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 9, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 9, 2026
- Adoption signal
- 5.7K downloadsadoption · observed Oct 9, 2026
- Latest release
- 0.108.3release · observed Oct 8, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s173dmtq1jwv3yxcgnmcxnn45583ey2y:agent-bom-runtime- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-msaad00-agent-bom-runtime/snapshot"
Documentation
CLAWHUB
58,765 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: agent-bom-runtime
description: >-
AI runtime security monitoring — context graph analysis, runtime audit log
correlation with CVE findings, and vulnerability analytics queries. Use when
the user mentions runtime monitoring, context graphs, lateral movement analysis,
audit log correlation, or vulnerability analytics.
version: 0.108.3
license: Apache-2.0
compatibility: >-
Requires Python 3.11+. Install via pipx or pip. Optional: kubectl for
Kubernetes context, ClickHouse for analytics storage. No API keys required.
metadata:
author: msaad00
homepage: https://github.com/msaad00/agent-bom
source: https://github.com/msaad00/agent-bom
pypi: https://pypi.org/project/agent-bom/
scorecard: https://securityscorecards.dev/viewer/?uri=github.com/msaad00/agent-bom
tests: 7239
install:
pipx: agent-bom
pip: agent-bom
openclaw:
requires:
bins: []
env: []
credentials: none
credential_policy: "Zero credentials required. Optional ClickHouse URL enables analytics storage. Never auto-discovered or inferred."
credential_handling: "Runtime audit data may include credential environment variable names but must not include raw values. Optional analytics credentials are operator-supplied and must not be displayed or inferred."
optional_env: []
optional_bins:
- kubectl
emoji: "\U0001F4CA"
homepage: https://github.com/msaad00/agent-bom
source: https://github.com/msaad00/agent-bom
license: Apache-2.0
os:
- darwin
- linux
- windows
data_flow: "Operates on scan results in memory and user-provided audit log files. Optional ClickHouse connection for persistent analytics (user-configured, not auto-discovered)."
file_reads:
- "user-provided audit log files (JSONL format from agent-bom proxy)"
file_writes: []
network_endpoints: []
telemetry: false
persistence: false
privilege_escalation: false
always: false
autonomous_invocation: restricted
---
# agent-bom-runtime — AI Runtime Security Monitoring
Context graph analysis, runtime audit log correlation with CVE findings, and
vulnerability analytics queries.
## Install
```bash
pipx install agent-bom
```
## Tools (3)
| Tool | Description |
|------|-------------|
| `context_graph` | Agent context graph with lateral movement analysis |
| `analytics_query` | Query vulnerability trends, posture history, and runtime events |
| `runtime_correlate` | Cross-reference runtime audit logs with CVE findings |
## Example Workflows
```
# Build context graph from scan results
context_graph()
# Correlate runtime audit with CVE data
runtime_correlate(audit_file="proxy-audit.jsonl")
# Query analytics
analytics_query(query="top_cves", days=30)
```
## Privacy & Data Handling
Operates on scan results already in memory and user-provided audit log files.
No automatic file discovery. No network calls unless you configure an optional
ClickHouse endpoint for persistent analytics.
## _meta.json
{
"ownerId": "kn7612j2dqa4vhvcpaygt6mcv981pft8",
"slug": "agent-bom-runtime",
"version": "0.108.3",
"publishedAt": 1791497893720
}skill-card.md
## Description: Analyzes agent context graphs, correlates runtime audit logs with CVE findings, and queries vulnerability trends. This skill is ready for commercial/non-commercial use. ## Publisher: [msaad00](https://clawhub.ai/user/msaad00) ### License/Terms of Use: MIT-0 ## Use Case: Developers and security teams use this skill to inspect agent context graphs, correlate user-supplied runtime audit logs with CVEs, and review vulnerability trends. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Installing a third-party CLI introduces package supply-chain risk. Mitigation: Review the PyPI package and project before installing, as recommended by the release security guidance. Risk: Optional ClickHouse or kubectl access can expose analytics data or cluster resources. Mitigation: Configure those connections only when needed and limit access to the intended environment. ## Reference(s): - [ClawHub skill release](https://clawhub.ai/msaad00/skills/agent-bom-runtime) - [Project homepage listed in skill metadata](https://github.com/msaad00/agent-bom) - [agent-bom package on PyPI](https://pypi.org/project/agent-bom/) - [Project OpenSSF Scorecard](https://securityscorecards.dev/viewer/?uri=github.com/msaad00/agent-bom) ## Skill Output: **Output Type(s):** [Text, Analysis, Guidance] **Output Format:** [Text or Markdown] **Output Parameters:** [1D] **Other Properties Related to Output:** [Context graph analysis, audit-to-CVE correlation, and vulnerability trend results; no fixed output schema is specified.] ## Skill Version(s): 0.108.3 (source: release metadata and skill frontmatter) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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}Record generated Oct 9, 2026.
