agent-bom discover gcp
Discover GCP-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived GCP credentials. Use when a user asks to inventory Vertex AI, Cloud Run, Cloud Functions, GKE, or agentic GCP infrastructure as canonical inventory.
Rank
62
Safety
84
Downloads
4.5k
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. 4.5K 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
- 4.5K 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-discover-gcp- Install using `clawhub skill install s173dmtq1jwv3yxcgnmcxnn45583ey2y:agent-bom-discover-gcp` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/msaad00/agent-bom-discover-gcp before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-msaad00-agent-bom-discover-gcp/snapshot"
Documentation
CLAWHUB
71,216 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: agent-bom-discover-gcp
description: >-
Discover GCP-hosted AI agent and MCP-relevant assets from the operator's
environment, emit canonical agent-bom inventory JSON, and scan it without
giving agent-bom long-lived GCP credentials. Use when a user asks to
inventory Vertex AI, Cloud Run, Cloud Functions, GKE, or agentic GCP
infrastructure as canonical inventory.
version: 0.108.3
license: Apache-2.0
compatibility: >-
Requires Python 3.11+, agent-bom installed from this repository or PyPI, and
operator-controlled GCP read-only credentials from ADC, workload identity, or
a scoped service account.
metadata:
author: msaad00
homepage: https://github.com/msaad00/agent-bom
source: https://github.com/msaad00/agent-bom
pypi: https://pypi.org/project/agent-bom/
openclaw:
requires:
bins:
- python
env: []
credentials: gcp-read-only
credential_policy: "Use the operator's existing Application Default Credentials, workload identity, or short-lived service account credentials. Do not ask users to paste service account JSON into chat. Do not print credential values."
optional_env:
- GOOGLE_APPLICATION_CREDENTIALS
- GOOGLE_CLOUD_PROJECT
- CLOUDSDK_CONFIG
optional_bins:
- gcloud
emoji: "search"
homepage: https://github.com/msaad00/agent-bom
source: https://github.com/msaad00/agent-bom
license: Apache-2.0
os:
- darwin
- linux
- windows
credential_handling: "Credentials stay in the operator environment. The skill invokes GCP SDK discovery locally and writes canonical inventory JSON with source_type=skill_invoked_pull. agent-bom receives sanitized inventory only when the operator explicitly scans or pushes that inventory."
data_flow: "Operator GCP project -> read-only Google API calls -> canonical inventory JSON -> optional local agent-bom inventory scan. No agent-bom-hosted service is required. Credential-like values are redacted before persistence/export."
file_reads:
- "~/.config/gcloud/configurations/config_default"
- "~/.config/gcloud/application_default_credentials.json"
- "~/.config/gcloud/credentials.db"
- "operator-selected service account JSON when GOOGLE_APPLICATION_CREDENTIALS is set"
file_writes:
- "operator-selected inventory JSON output path"
network_endpoints:
- url: "https://cloudresourcemanager.googleapis.com"
purpose: "Project and resource inventory"
auth: true
- url: "https://aiplatform.googleapis.com"
purpose: "Vertex AI inventory"
auth: true
- url: "https://run.googleapis.com"
purpose: "Cloud Run inventory"
auth: true
- url: "https://cloudfunctions.googleapis.com"
purpose: "Cloud Functions inventory"
auth: true
- url: "https://container.googleapis.com"
purpose: "GKE inventory"
auth: true
telemetry: false
persistence: false
privilege_escalation_meta.json
{
"ownerId": "kn7612j2dqa4vhvcpaygt6mcv981pft8",
"slug": "agent-bom-discover-gcp",
"version": "0.108.3",
"publishedAt": 1791497931440
}skill-card.md
## Description: Discovers GCP-hosted AI and workload assets and produces canonical agent-bom inventory JSON for optional local scanning. 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 cloud operators use this skill to inventory AI agents and related resources in approved GCP projects, then optionally scan that inventory for findings. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: GCP discovery uses the operator's authentication context. Mitigation: Use approved projects and least-privilege read-only credentials; never paste or print credential values. Risk: Generated inventory may contain sensitive resource metadata. Mitigation: Choose the output path deliberately and review the inventory before sharing it. ## Reference(s): - [agent-bom project homepage (skill metadata)](https://github.com/msaad00/agent-bom) - [agent-bom PyPI package](https://pypi.org/project/agent-bom/) - [ClawHub skill release](https://clawhub.ai/msaad00/skills/agent-bom-discover-gcp) ## Skill Output: **Output Type(s):** [Shell commands, Files] **Output Format:** [JSON inventory; optional JSON scan findings] **Output Parameters:** [1D] **Other Properties Related to Output:** [Inventory is saved to an operator-selected path; scanning occurs only on request.] ## 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 10, 2026.
