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 skills add orcasecurity/orca-skills --skill orca-cve-blast-radiusgit clone --depth 1 https://github.com/orcasecurity/orca-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/orcasecurity/orca-skills/orca-cve-blast-radius)<a href="https://agentmods.dev/skills/orcasecurity/orca-skills/orca-cve-blast-radius"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-cve-blast-radius/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/orcasecurity/orca-skills/orca-cve-blast-radius"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-cve-blast-radius.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00111 | $0.03158 |
| Opus 5 | $0.00056 | $0.01579 |
| Sonnet 5 | $0.00022 | $0.00632 |
| Haiku 4.5 | $0.00011 | $0.00316 |
Grade A, and why
orca-cve-blast-radius 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orca CVE Blast-Radius Skill
Answers the question: "This CVE just dropped — which of our assets are actually at risk, ranked by real exposure?"
Static CVSS doesn't tell you which workloads matter. This skill takes a CVE-ID, finds every affected asset across all accounts, and ranks them by runtime exposure context — internet-facing, attack-path participation, crown jewel status, and existing related alerts.
Usage
/orca-cve-blast-radius CVE-2021-44228
/orca-cve-blast-radius CVE-2024-1234
/orca-cve-blast-radius CVE-2024-3094 prod
Or natural language:
- "blast radius of CVE-2024-1234"
- "where are we affected by Log4Shell?"
- "which assets have CVE-2021-44228?"
- "show me CVE-2024-3094 across all accounts"
Processing Logic
Step 1: Parse the CVE-ID
Extract a single CVE-ID in CVE-YYYY-NNNNN form. If the user provided a name (e.g. "Log4Shell", "xz backdoor", "Spring4Shell"), map to the canonical CVE-ID first using a discovery_search query like "<name> CVE". If the mapping is ambiguous, list candidates and ask the user to pick.
Optional scope arg: prod, staging, account <id>. Default: all accounts.
Step 2: Find every affected asset (parallel)
Run all three queries in parallel:
Query 1: Asset hits by CVE-ID
discovery_search:
search_phrase: "assets with <CVE-ID>"
limit: 50
Query 2: Critical exposure hits
discovery_search:
search_phrase: "internet facing assets with <CVE-ID>"
limit: 50
Query 3: Active alert hits (catches assets where Orca raised the CVE as an alert)
discovery_search:
search_phrase: "open alerts for <CVE-ID>"
limit: 50
De-duplicate by asset_id / group_unique_id after the three queries return. The intersection (assets in all three sets) is the highest priority.
Step 3: Enrich top affected assets (parallel)
Take the top 10 affected assets (prioritized by: internet-facing first → then by alert count → then by asset name). Per asset, in parallel:
get_asset_by_id:
asset_id: <UUID>
get_asset_related_alerts_summary:
asset_id: <UUID>
get_asset_related_attack_paths_summary:
asset_id: <UUID>
get_asset_crown_jewel_info:
group_unique_id: <group_unique_id>
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.
- 12d ago First seen · 323 lines · 111 tokens per session scan A b4cfdbd9422e
orca-cve-blast-radius is a skill published in the GitHub repository orcasecurity/orca-skills (50 stars, last pushed 6d ago), licensed MIT. It adds 111 tokens to every session and 3,158 once invoked, about $0.0006 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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