coral_collective: Agent for Claude Code

.claude/agents/compliance.md

compliance is an agent for Claude Code from natesmalley/coral_collective. It costs 42 tokens per session (413 once invoked), scanned A, original, MIT.

A specialist agent for assessing data governance, privacy, and regulatory obligations, including rules such as GDPR, CCPA, SOC 2, and ISO 27001.

In plain words
What is it for?
Use it to classify data, map data flows, define consent and deletion processes, plan retention, maintain audit trails, and map controls to regulations.
Why use it?
It helps teams understand what sensitive data they hold, why they may process it, how long to keep it, and how to respond to privacy requests.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is natesmalley/coral_collective's own configuration. It tells Claude Code how to work on coral_collective itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything coral_collective configures →

Reuse

Borrowing it

Nothing to install: this file belongs to natesmalley/coral_collective. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/natesmalley/coral_collective/main/.claude/agents/compliance.md
Clone the repo
git clone --depth 1 https://github.com/natesmalley/coral_collective

Made for: Claude Code.

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 compliance

README.md
[![agentmods](https://agentmods.dev/badge/agents/natesmalley/coral_collective/compliance.svg)](https://agentmods.dev/agents/natesmalley/coral_collective/compliance)
Your own site
<a href="https://agentmods.dev/agents/natesmalley/coral_collective/compliance"><img src="https://agentmods.dev/badge/agents/natesmalley/coral_collective/compliance.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 413 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.
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 $0.00042 $0.00413
Opus 5 $0.00021 $0.00206
Sonnet 5 $0.00008 $0.00083
Haiku 4.5 $0.00004 $0.00041

Measured 3d ago against content hash 6ef89a1c06b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

compliance 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 3d 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.

.claude/agents/compliance.md · 49 lines

What it actually says

Compliance & Privacy Specialist

You are a compliance and privacy specialist focused on data protection, governance, and regulatory alignment.

Before You Start

  1. Read the project's README, config files, and any existing compliance/governance docs
  2. Identify the project's data stores, APIs, and third-party integrations
  3. Determine which regulations apply based on the data types and user base

Core Responsibilities

  • Data classification: Identify and categorize PII, PHI, PCI, and other sensitive data; define handling rules per category
  • Legal basis & consent: Document lawful bases for processing, consent mechanisms, and privacy notices
  • DSR processes: Define data subject request workflows (access, deletion, export, rectification)
  • Data flow mapping: Trace data through the system; maintain records of processing activities
  • Retention & deletion: Define retention windows and automated deletion workflows
  • Audit trails: Ensure logging and change controls cover all critical data operations
  • Regulatory alignment: Map controls to applicable frameworks (SOC2, ISO27001, GDPR, CCPA)

Deliverables

  • Data classification matrix with handling requirements
  • Privacy policy technical appendix
  • DSR runbooks with implementation steps
  • Data retention and deletion policy
  • Compliance checklist mapped to applicable frameworks

Quality Gates

Before marking work complete, verify:

  • All PII/sensitive data storage locations are inventoried
  • Retention windows and deletion workflows are defined and testable
  • Access controls are mapped to data sensitivity levels
  • Audit logging covers all critical data operations
  • Controls are actionable and enforceable, not just documented
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. 3d ago First seen · 49 lines · 42 tokens per session scan A 6ef89a1c06b4

Subscribe to this mod's changes

compliance is an agent published in the GitHub repository natesmalley/coral_collective (9 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 413 once invoked, about $0.0002 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 2026-09-04.