Commerce Trust Safety logo

Commerce Trust Safety

OrganizationPopular
anthropics
commerce-trust-safety

The rules the reference agents enforce in code for third-party content, writes, grounding, identity, and memory, each with its module, plus two adversarial-eval rules. Load when handling untrusted tool results, guarding a write tool, or scoping what an agent remembers.

Overview

Publisheranthropics
Repositorycommerce-agents
Skill namecommerce-trust-safety
Stars
3K
Forks
574
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Commerce Trust Safety 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.
  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/anthropics/commerce-agents.git /tmp/commerce-agents
mkdir -p .claude/skills
cp -r /tmp/commerce-agents/plugins/commerce-builder/skills/commerce-trust-safety .claude/skills/commerce-trust-safety
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Commerce Trust Safety 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 Commerce Trust Safety 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 Commerce Trust Safety 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.

Trust and safety rules

commerce_common/ is commerce-common/commerce_common/, shopping_agent/ is shopping-agent/core/shopping_agent/, and merchant_agent/ is merchant-agent/core/merchant_agent/; docs/safety.md lists the same rules. A rule inside a tool call holds on all three paths, which share one executor (commerce-architecture); rules 10 and 15 name the paths they run on. Merchant staging, guardrails, approval, and marketplace posture are in commerce-merchant-operations.

Fence third-party content

  1. Every tool result from catalog, review, policy, order, metric, message, or web content goes through Fence.fence_payload (commerce_common/fencing.py): NFKC-normalized, invisible and control characters removed, fence markers, forged turn markers, and special tokens replaced, wrapped in the role's label, and cut at max_fenced_chars. The executor's _fenced applies it to every handler.
  2. The label and the notice are per-role constants (STOREFRONT_FENCE in shopping_agent/fencing.py, MERCHANT_FENCE in merchant_agent/fencing.py); the notice appears once, in the static prompt, with nothing untrusted in it.
  3. The per-request block (profile, cart, memory facts, page, store context) sits inside the same fence after the cache breakpoint (build_dynamic_context in each role's prompt.py); backend context blocks have their own cap.
  4. A model-supplied result count is clamped to max_search_results (clamp_limit in commerce_common/execution.py).

Gate writes on provenance and caps

  1. A cart write accepts only ids in ShoppingSessionState.seen_products, filled by the session's catalog and order reads (check_provenance and remember_order_items in shopping_agent/gates.py); update and remove also accept a line already in the cart. Merchant staging accepts only ids in seen_listings and read_listings, apply and discard only ids in seen_changes (merchant_agent/gates.py; commerce-merchant-operations).
  2. max_quantity_per_item caps the line after the write and max_cart_lines the cart, under a session lock (gated_add_to_cart in shopping_agent/gates.py; caps in shopping_agent/config.py). The lock is per process, so StorefrontBackend cart methods enforce them too; eligibility, pricing, and inventory are the backend's in both roles.
  3. Nothing in either interface charges or places an order: checkout renders the cart (enrich_checkout in shopping_agent/enrichment.py) and the host completes it; post-purchase care is reads, with no cancel or refund tool.
  4. Provenance lives on the session state (ShoppingSessionState, MerchantSessionState), saved with the session when the request or turn ends (SessionStore in examples/demo_common/sessions.py, a versioned state document beside the transcript), so a request on another process loads it. Each map keeps its newest PROVENANCE_CAP records (remember in commerce_common/types.py); a dropped id needs a fresh read.
  5. A component is validated, its products, orders, metrics, or changes are joined from those records, and ids without provenance are dropped and reported (run_presentation in commerce_common/presentation.py; each role's enrichment.py; commerce-ui-tools).

Ground the answers that are figures or terms

  1. A terms question, an order question, or an unseen product id (GROUNDING_RULES in shopping_agent/grounding.py), or a performance question or an apply request with nothing staged (merchant_agent/grounding.py), starts from the matching read: first_forced_tool in commerce_common/grounding.py picks it, the Messages API runtimes force it with tool_choice, and the SDK runtimes prefetch it when the rule has a prefetch form (ground in commerce_common/agent_sdk.py; the terms rule has none); the hosted path has the prompt only.
  2. The lexicons are config tuples (policy_intent_terms, order_intent_terms, product_id_patterns, metrics_intent_terms, and their cues); a deployment appends its own words, a gate flag turns a rule off, and neither changes prompt bytes.

Hold identity on the server

  1. Session start binds the authenticated principal to an unguessable session id; later requests carry only that id, and routes read the principal from the record (SessionStore.start and session_dependency in examples/demo_common/sessions.py). No request field or tool argument names a user, merchant, or operator; the MCP servers take the principal from their environment, a production server from its request.
  2. Whether the principal owns a record (order, ticket, listing), and whether the step a call depends on has happened, is the backend's check against its store; an id having provenance does not make it theirs or ready.

Bound what is remembered

  1. Every fact on both write paths (save_memory and post-turn extraction) passes validate_fact in commerce_common/memory.py: key of at most 64 characters, value of at most 200, one of the three MemoryCategory values, and the MemoryWriteFilter, which refuses identifier-shaped values by default; memory_blocked_patterns adds patterns, and a filter with checks replaces it (MemoryRuntime.build).
  2. Extraction reads the last exchange's user and assistant text (transcript_text in commerce_common/turn.py), and extract_and_store drops its batch when the subject was purged meanwhile; the Messages API runtimes run it (update_memory), the SDK host calls the runtime, and the hosted path writes through save_memory only.
  3. memory_retention_days (with_retention), MemoryStore.delete_fact, MemoryStore.clear, and enable_memory hold on every path without changing prompt or tool bytes; the examples expose read and delete routes (install_memory_routes in examples/demo_common/memory.py), and clear belongs in account deletion.
  4. The subject is the shopper's user_id or the operation's merchant_id (memory_subject in each role's executor.py).

Refuse in the result, and keep the surface fixed

  1. A held call returns a normal result naming its gate (ToolOutcome.held in commerce_common/streaming.py; the host's tool_result event carries status: blocked), a failure returns an error result, and execute never raises.
  2. The tool list is a function of the config: enable_web_search (default off) adds the tool, the SDK runtimes allow-list the registered names, and the manifests enable tools one by one.
  3. The reference MCP servers bind to loopback unless an environment variable states that an authenticating gateway is in front (enforce_local_only_bind in commerce_common/mcp_server.py).

Two rules for adversarial evals

  • Poisoned listings, reviews, and messages live in eval fixtures merged in for a run, outside demo and catalog data.
  • Every refusal case has a should-serve counterpart in the same niche, so a suite catches over-refusal too (commerce-evals).

Frequently asked questions

What does the Commerce Trust Safety AI skill do?

The rules the reference agents enforce in code for third-party content, writes, grounding, identity, and memory, each with its module, plus two adversarial-eval rules. Load when handling untrusted tool results, guarding a write tool, or scoping what an agent remembers.

Why use Commerce Trust Safety on TypingMind?

Because you install it once and use it with any model. Commerce Trust Safety 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 Commerce Trust Safety in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/commerce-agents/tree/main/plugins/commerce-builder/skills/commerce-trust-safety. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Commerce Trust Safety?

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 Commerce Trust Safety?

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

Is the Commerce Trust Safety AI skill free?

Yes. It is published on GitHub by anthropics 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇