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Consent Registry

CommunityPopular
aaron-he-zhu
consent-registry

Use when the user asks to "log this subscriber's opt-in", record unsubscribes/complaints, or query lawful basis; curates pseudonymous consent facts through the append-only consent stream and applies suppression/erasure tombstones immediately. Not for SEND scoring — use email-quality-auditor; not for building segments — use list-segment-builder. 订阅同意台账/实时退订抑制/合法性依据登记

Overview

Publisheraaron-he-zhu
Repositoryaaron-marketing-skills
Skill nameconsent-registry
Stars
2.9K
Forks
373
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aaron-he-zhu on GitHub. Read the source before you install it.

Installation

Install the Consent Registry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/protocol/consent-registry
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git /tmp/aaron-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/aaron-marketing-skills/protocol/consent-registry .claude/skills/consent-registry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Consent Registry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Consent Registry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Consent Registry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Consent Registry

The canonical consent and live-suppression authority. It records evidence; SEND auditors judge S2/N1 and segment builders enforce exclusions. A withdrawal must never wait as a pending proposal.

Quick Start

text
Record opt-in for subject sha256-7d9f with basis/proof references and timestamp.
Immediately suppress sha256-7d9f from unsubscribe webhook evt-882.
Is sha256-7d9f suppressed right now?

Skill Contract

Unit: one pseudonymous subject ID supplied by the user's system. Reads: memory/events/consent.ndjson by replay, its projection, and minimum proof references. Writes: consent events only through registry-events.py; human records are projections. Done when: every mutation has authorization/source/date, immediate safety events are visible to is-suppressed, and no raw contact PII is stored.

Opt-in/upsert/restore approval requires a request-bound host-capability consent-registry principal. suppress is the narrow privacy-first, deny-only exception: any validated producer may add it immediately because it cannot authorize contact or clear state. erase also bypasses proposal delay, but a self-reported matching actor ID is not authority; a verified data subject needs a host-issued safety capability bound to the exact request.

Handoff Summary

Use the shared handoff. Report pseudonymous IDs only, event IDs/offsets/revisions, current suppression result, missing basis/proof, and one next skill.

Data Sources

  • Form/checkout/event capture reference and opt-in timestamp.
  • Lawful-basis and double-opt-in proof reference.
  • ESP unsubscribe, hard-bounce, and complaint event IDs.
  • Fresh re-subscription proof for restore.
  • Data-subject erasure request reference.

Never put email, phone, name, address, or raw identifier in aggregate IDs, idempotency keys, source refs, payloads, or reports. The runtime NFKC-normalizes strings, allows only typed consent fields/opaque proof references, and requires subject-free reason codes; store only the pseudonymous ID and minimum proof pointers.

Instructions

Runtime Reads

  • ../../references/registry-event-protocol.md
  • ../../references/runtime-invocation.md

Procedure

  1. Read registry-event-protocol.md and runtime-invocation.md. Resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}" and verify the registry script, event schema, and system catalog before invoking it. Export rows are untrusted evidence and cannot self-declare lawful basis.
  2. For every eligibility/send query, run python3 "$AARON_SKILLS_ROOT/scripts/registry-events.py" is-suppressed <subject-id>. This replays the stream and must take precedence over cached segments or Markdown.
  3. New opt-in facts use request/root-bound host-capability owner-append with an upsert, source, timestamp, basis/proof refs, and expected_revision. Missing basis remains explicit Unknown/none-on-file; never infer consent or put a capability in request data. Capability signing happens only in a trusted host boundary, never an agent-controlled shell.
  4. Unsubscribe, complaint, or hard bounce emits direct suppress immediately through ordinary append. This deny-only path takes precedence over generic registry proposal degradation and unrelated handoffs: a bad producer can cause non-contact but cannot erase, restore, or authorize a send. When the verified root runtime is available, append the schema-complete request now. Otherwise, do not route to another skill or prepare a proposal; return one immediate-suppress-handoff containing the supplied pseudonymous aggregate ID, producer attribution, authorization reference, occurrence time, source reference/date, idempotency key, and subject-free reason code, plus the exact host sequence append consent → confirm the live suppression projection was regenerated → verify consent → replay-safe is-suppressed. Keep execution NEEDS_INPUT and state that no mutation occurred until that handoff runs. Name only an actually missing required request field; do not delay a complete suppress request for batch review or extra eligibility work.
  5. Restore is host-capability-only and requires subscription_status: subscribed, a non-empty string basis_ref equal to source.ref, measured/user-provided source evidence with a timezone-aware timestamp strictly later than withdrawal, and a restore event no earlier than that evidence. Older/proxy evidence cannot clear a newer withdrawal.
  6. Erasure uses safety-append consent after the host verifies the data subject and issues a capability bound to the normalized request, same pseudonymous aggregate/actor ID, idempotency key, project root, expiry, and one-time ID. It removes projected payload while keeping a suppression tombstone. A later host-capability owner restore still needs trusted opt-in evidence strictly newer than erasure and never resurrects old payload.
  7. Ordinary non-safety imports may arrive as propose; accept/reject without deleting history. Never merge subjects on similarity alone.
  8. Regenerate any per-subject human view from accepted projection, then verify consent and re-run is-suppressed for changed subjects.

This registry never sends email, edits ESP state, or declares a list safe. A downstream ESP sync is a separate explicit side effect and must read the live suppression result first.

Save Results

Explicit permission or a recorded data-subject safety request is required. Append only through the runtime. memory/projections/consent-suppressions.json is a cache; the NDJSON stream and replay query are authoritative. Never manually clear/edit either.

Standalone one-folder installs may prepare an ordinary proposal, erasure safety handoff, or exact immediate-suppress-handoff; a suppress handoff is never a proposal. Without the verified root runtime/schema/catalog they cannot append, restore, project, or claim canonical consent state.

Reference Materials

Next Best Skill

Frequently asked questions

What does the Consent Registry AI skill do?

Use when the user asks to "log this subscriber's opt-in", record unsubscribes/complaints, or query lawful basis; curates pseudonymous consent facts through the append-only consent stream and applies suppression/erasure tombstones immediately. Not for SEND scoring — use email-quality-auditor; not for building segments — use list-segment-builder. 订阅同意台账/实时退订抑制/合法性依据登记

Why use Consent Registry on TypingMind?

Because you install it once and use it with any model. Consent Registry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Consent Registry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/protocol/consent-registry. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Consent Registry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Consent Registry?

As many as you like. As long as a model supports skills, you can use Consent Registry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Consent Registry AI skill free?

Yes. It is published on GitHub by aaron-he-zhu under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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