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-exposure-mapgit 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-exposure-map)<a href="https://agentmods.dev/skills/orcasecurity/orca-skills/orca-exposure-map"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-exposure-map/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-exposure-map"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-exposure-map.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 | $0.00069 | $0.03683 |
| Opus 5 | $0.00034 | $0.01842 |
| Sonnet 5 | $0.00014 | $0.00737 |
| Haiku 4.5 | $0.00007 | $0.00368 |
Grade A, and why
orca-exposure-map 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 9d 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 — 451 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orca Exposure Map Skill
Answers the question: "What can an attacker see from outside, and what's the easiest way in?"
Maps all internet-facing assets, ranks them by exploitability, groups by attack vector (exposed services, public storage, vulnerable web apps, open management ports), and presents the environment from an attacker's perspective.
Usage
/orca-exposure-map
/orca-exposure-map account 123456789012
/orca-exposure-map web services
Or natural language:
- "what's exposed to the internet?"
- "show me our attack surface"
- "what can an attacker see?"
- "public-facing assets with vulnerabilities"
- "exposed ports and services"
Processing Logic
Step 1: Determine Scope
Parse user input:
- All accounts: no argument → full environment
- Specific account: "account 123456789012" → filter
- Specific vector: "web services" → focus on that category
Step 2: Gather Data (run ALL in parallel)
Run 6 discovery_search queries to cover different exposure types:
Query 1: Internet-facing assets with critical vulns
discovery_search:
search_phrase: "internet facing assets with critical vulnerabilities"
limit: 10
Query 2: Publicly accessible storage
discovery_search:
search_phrase: "publicly accessible S3 buckets or storage with sensitive data"
limit: 10
Query 3: Exposed management interfaces
discovery_search:
search_phrase: "internet facing assets with exposed management ports SSH RDP"
limit: 10
Query 4: Exposed web applications
discovery_search:
search_phrase: "internet facing web applications with high vulnerabilities"
limit: 10
Query 5: Exposed databases
discovery_search:
search_phrase: "internet facing databases or database ports exposed"
limit: 10
Query 6: Assets with public IPs and critical alerts
discovery_search:
search_phrase: "public facing assets with critical open alerts"
limit: 10
Step 3: Enrich High-Risk Assets
For the top 5 most critical exposed assets, run in parallel:
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.
- 9d ago First seen · 451 lines · 69 tokens per session scan A 6b85a2d7aafd
orca-exposure-map is a skill published in the GitHub repository orcasecurity/orca-skills (49 stars, last pushed 3d ago), licensed MIT. It adds 69 tokens to every session and 3,683 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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