orca-data-exposure

orca-data-exposure is a skill for Claude Code from orcasecurity/orca-skills. It costs 79 tokens per session (4,191 once invoked), scanned A, original, MIT.

A security view of sensitive information across cloud environments, including personal data, passwords, credentials, API keys, and financial data. DSPM means managing the security of stored data and where it is exposed.

In plain words
What is it for?
Use it to find exposed secrets or personal data, review a cloud account or asset, assess data-store security, and create a prioritized fix plan.
Why use it?
It helps reveal sensitive data stores that are unprotected or publicly exposed and orders the risks that need attention first.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the orca-skills plugin — 19 skills shipped together

Good fit Use it to find exposed secrets or personal data, review a cloud account or asset, assess data-store security, and create a prioritized fix plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orcasecurity/orca-skills/orca-data-exposure
Install

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.

Any agent
npx skills add orcasecurity/orca-skills --skill orca-data-exposure
Clone the repo
git clone --depth 1 https://github.com/orcasecurity/orca-skills

Made for: Claude Code.

Or install orca-skills, the plugin that ships this one along with the rest of its 19 skills.

Wrote 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.

agentmods badge for orca-data-exposure

README.md
[![agentmods](https://agentmods.dev/badge/skills/orcasecurity/orca-skills/orca-data-exposure/github.svg)](https://agentmods.dev/skills/orcasecurity/orca-skills/orca-data-exposure)
Your own site
<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.

agentmods 80×15 button for orca-data-exposure

Your own site · 80×15
<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>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,191 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.04191
Opus 5 $0.00039 $0.02096
Sonnet 5 $0.00016 $0.00838
Haiku 4.5 $0.00008 $0.00419

Measured 9d ago against content hash e45370e08ec3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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 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.

skills/orca-data-exposure/SKILL.md · 506 lines

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

Read the full file on GitHub · 506 lines

Changes

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.

  1. 9d ago First seen · 506 lines · 79 tokens per session scan A e45370e08ec3

Subscribe to this mod's changes

orca-data-exposure is a skill published in the GitHub repository orcasecurity/orca-skills (49 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 4,191 once invoked, about $0.0004 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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