Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/msaad00/agent-bom/runtimenpx skills add msaad00/agent-bom --skill runtimegit clone --depth 1 https://github.com/msaad00/agent-bomWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00051 | $0.00776 |
| Opus 5 | $0.00026 | $0.00388 |
| Sonnet 5 | $0.00010 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
agent-bom-runtime scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
agent-bom-runtime — AI Runtime Security Monitoring
Context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries.
Install
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.
Verification
- Source: github.com/msaad00/agent-bom (Apache-2.0)
- 7,100+ tests with CodeQL + OpenSSF Scorecard
- No telemetry: Zero tracking, zero analytics
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 96 lines · 51 tokens per session scan A bde5546c09f3
agent-bom-runtime is a skill published in the GitHub repository msaad00/agent-bom (31 stars, last pushed 2d ago), licensed Apache-2.0. It adds 51 tokens to every session and 776 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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