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-data-exposuregit 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-data-exposure)<a href="https://agentmods.dev/skills/orcasecurity/orca-skills/orca-data-exposure"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-data-exposure/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-data-exposure"><img src="https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-data-exposure.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 | $0.00079 | $0.04191 |
| Opus 5.5 | $0.00032 | $0.01676 |
| Sonnet 5.5 | $0.00016 | $0.00838 |
| Haiku 4.5 | $0.00008 | $0.00419 |
Grade A, and why
orca-data-exposure 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 2mo 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 — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orca Data Exposure Skill
Answers the question: "Where is our sensitive data, is it protected, and what's at risk right now?"
Provides a DSPM (Data Security Posture Management) view: discovers sensitive data across the environment (secrets, PII, credentials, API keys, financial data), identifies unprotected or exposed data stores, ranks data risks by exposure level, and generates a remediation plan to secure the most critical data first.
Usage
/orca-data-exposure
/orca-data-exposure secrets
/orca-data-exposure account 123456789012
Or natural language:
- "where's our sensitive data?"
- "find exposed API keys"
- "what PII is at risk?"
- "data exposure report"
- "show me unprotected data stores"
- "DSPM summary"
Processing Logic
Step 1: Determine Scope
Parse user input:
- All data types: no argument → full DSPM view
- Specific type: "secrets" / "PII" / "credentials" / "API keys" → filter
- Account-specific: "account 123456789012" → filter by account
- Asset-specific: "data on bastion-admin" → filter by asset
Step 2: Gather Data (run ALL in parallel)
Run 6 discovery_search queries covering different data exposure categories:
Query 1: Exposed secrets and credentials
discovery_search:
search_phrase: "exposed secrets credentials API keys passwords"
limit: 10
Query 2: PII exposure
discovery_search:
search_phrase: "sensitive data PII personally identifiable information exposed"
limit: 10
Query 3: Unencrypted data stores
discovery_search:
search_phrase: "unencrypted S3 buckets databases storage with sensitive data"
limit: 10
Query 4: Public data stores with sensitive content
discovery_search:
search_phrase: "publicly accessible storage buckets with sensitive data or secrets"
limit: 10
Query 5: Sensitive data on internet-facing assets
discovery_search:
search_phrase: "internet facing assets with sensitive data or secrets"
limit: 10
Query 6: Certificate and key exposure
discovery_search:
search_phrase: "exposed private keys certificates TLS SSL"
limit: 10
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.
- 2mo ago First seen · 506 lines · 79 tokens per session scan A e45370e08ec3
orca-data-exposure is a skill published in the GitHub repository orcasecurity/orca-skills (56 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 4,191 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
database-patterns
DB schema design and query tuning: normalization, indexing, N+1, transactions, EXPLAIN. Triggers: schema, index, slow query, N+1, PostgreSQL, MySQL, EXPLAIN, deadlock, query plan.
ddia-systems
Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID…
migration-patterns
Zero-downtime DB migrations: expand-contract, double-write, backfill, blue-green. Triggers: migration, schema change, backfill, ALTER TABLE, online DDL.
migrate
Run/create DB migrations (Alembic, Prisma, Laravel, Django, Flyway, Drizzle); checks backup. Triggers: apply migration, rollback, generate migration.
managed-db-services
Configure DigitalOcean Managed MySQL, MongoDB, Valkey, Kafka, and OpenSearch for App Platform. Use when setting up non-PostgreSQL databases, configuring trusted sources, or troubleshooting database connectivity.
postgres
Configure DigitalOcean Managed Postgres with bindable variables or schema isolation. Use when setting up databases, creating users, managing permissions, configuring multi-tenant schemas, or troubleshooting database connectivity on App Platform.