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BF agent-bom

Open security scanner for agentic infrastructure — agents, MCP, packages, blast radius, runtime, and trust across MCP discovery, CVEs, SBOMs, CIS benchmarks (AWS, Azure, GCP, Snowflake), OWASP/NIST/MITRE compliance, AISVS v1.0, MAESTRO layer tagging, and vector database security checks. Use when the user mentions vulnerability scanning, MCP server trust, compliance, SBOM generation, CIS benchmarks, blast radius, or AI supply chain risk.

ClawHub Agent Skills author: Agent Bom v0.76.4 MIT-0 12 files body ≈ 2 306 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 41/100 · Will not run — References files that are not bundled: discover/SKILL.md, scan/SKILL.md, scan-infra/SKILL.md

GeneratorAWSGoogle CloudAzureAI and agentsInfrastructureSecuritytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
73
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: discover/SKILL.md, scan/SKILL.md, scan-infra/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:285
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | `context_graph` | Agent context graph with lateral movement analysis |

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: discover/SKILL.md
  • warning missing-ref reference to a missing file: scan/SKILL.md
  • warning missing-ref reference to a missing file: scan-infra/SKILL.md
  • warning missing-ref reference to a missing file: enforce/SKILL.md
  • warning missing-ref reference to a missing file: compliance/SKILL.md
  • warning missing-ref reference to a missing file: monitor/SKILL.md
  • warning missing-ref reference to a missing file: analyze/SKILL.md
  • warning missing-ref reference to a missing file: troubleshoot/SKILL.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: discover/SKILL.md, scan/SKILL.md, scan-infra/SKILL.md
  • 0Tools and files. 8 referenced file(s) missing: discover/SKILL.md, scan/SKILL.md, scan-infra/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2306 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 440: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a disclosed security-scanner skill, but it can inspect local AI-tool configuration and should be run only with clear intent and reviewed scope.
LLM: benign (high) · VirusTotal: benign · 28 May 2026