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🤖 🛡️ Agent Shield

PyPI - Version npm

A runtime firewall for every agent. Deploy a shield with each agent. Enforce permissions before actions execute, manage policies centrally, and retain an audit trail.

The Shield stands between an agent and the world. Its first shippable is the proxy: agent-shield run -- <an ACP agent's command> starts the agent as its subprocess and stands as an Agent Client Protocol agent on its own stdio, so any ACP client — Zed, vscode-acp, Marimo, Datalayer's runtimes — talks to the Shield and the Shield talks to the agent. In between it decides:

  • session/request_permission by the policy: do it is answered without the client, ask me first is forwarded with the same options and answered as the person chose, leave it to me is refused in a sentence the person sees;
  • the agent's tool_call notifications are classed (ACP kind → read, write, delete, execute; other fails closed to write) and held to the session's limits; a refusal cancels the turn and says why;
  • fs/* and terminal/* are answered by the Shield against the workspace — a path outside it is refused, a command runs with a trimmed environment — and every one is a tool row the client sees;
  • mcpServers are rewritten so the agent gets only what the policy lends;
  • every action and decision is a line of ~/.agent-shield/audit.jsonl, credentials redacted, a file's content never in it.

The first five minutes

pip install "datalayer-agent-shield[claude-code]"   # one extra per harness
agent-shield setup        # finds node, the vendor CLIs and the credentials present; installs the pinned adapter into ~/.agent-shield/harnesses/<id>@<version>; writes agent-shield.yaml beside the project
agent-shield run -- claude-agent-acp               # Claude Code behind the Shield, on this directory, with the default policy

Measured on 15 October 2026 from a clean prefix: setup took 27 s (the adapter @agentclientprotocol/claude-agent-acp@0.91.0, 325 MB, through npm install --prefix, never a global npx); run initialized the adapter and opened a session in 1.5 s; the first decision followed the first tool call. The whole, from pip install to a decision seen in the terminal, is under a minute, five times under the five minutes of SHIELD §5.3.

setup asks for nothing it finds: it says which credentials are present by name (never a value), which are missing and how to export them, and stores no secret. It refuses, in a sentence, a credential the register forbids — a Claude Code or ChatGPT subscription login where only an API key serves to third parties, a Google login on Gemini's individuals tier.

Then:

agent-shield log                 # the audit, one line per action and decision
agent-shield policy show         # every line of the policy in force, and where it came from
agent-shield policy schema       # the document's JSON Schema
agent-shield harnesses           # the register: each harness, its terms, where they were read
agent-shield upgrade --check     # a newer Shield or adapter?
agent-shield upgrade             # move the adapters to the register's pinned versions
agent-shield uninstall           # previews; --yes removes the adapters and the config, keeps the audit and the policy

Zed, settings.json:

"agent_servers": {
  "Claude Code behind the Shield": { "command": "agent-shield", "args": ["run", "--", "claude-agent-acp"] }
}

The policy

One document per scope — organization, team, session — in agent-shield.yaml beside the project (else ~/.agent-shield/agent-shield.yaml), with the schema in schema/policy.schema.json. The strictest scope decides first and the first decision wins; a scope that says nothing passes the action down; nothing a rule names falls to ask me first, never to do it.

The default setup writes: read and search inside the workspace — do it; edit and move inside it — do it, shown as diffs; delete, run a command, and any path outside the workspace — ask me first; a command naming a credential, sudo, a package install from the network, or git push — ask me first with the command shown; a fetch — through network.fetch's allow-list, which is empty, so refused; send or buy — ask me first. Limits: 100 then 200 tool calls, 4 then 8 terminals, 5 then 20 MiB written — a soft threshold asks once, a hard one refuses each call that would cross it and says what would let the session go on.

scope: session
rules:
  - name: read inside the workspace
    decision: allow
    classes: [read]
    where: inside
  - name: git push
    decision: ask
    classes: [execute]
    commands: ['\bgit\b[^;&|]*\bpush\b']
limits:
  tool_calls: {soft: 100, hard: 200}
network:
  fetch: []
mcp:
  allow: []

agent_shield.policy.decide(action, context, policies) is pure: it answers allow | ask | deny, the sentence, and the scope and rule that decided.

Three levels hold (SHIELD.md §6.3): on Datalayer the organization's document comes from IAM, the Appspec's Rules are the team's, and the session's is the default above plus what a person allows or tightens while it runs. A lower document only tightens: agent_shield.policy.widening says in sentences where it would permit more, IAM refuses a team document with them, and the runtime refuses a session rule with them. Two more limits hold the model: model_tokens (the budget) and spend (credits, 100 a USD), soft then hard; decide_budget decides the next model request against them. A harnesses section says which harnesses a scope admits and whose credentials run them.

Managed from Datalayer (agent_shield.saas), the policy is pulled from IAM at the agent's creation, kept until its expires, refreshed every 30 s or when pushed, and fails closed: with IAM unreachable and no unexpired copy, the harness is refused in a sentence naming IAM.

What is built, and what is not

Built (0.1.2, SHIELD.md Phase 0 and the policy side of Phase 2): the policy engine and its schema, the three levels with widening, the model limits and decide_budget, the harnesses section, the SaaS client pulling from IAM and failing closed; the register read from agentspecs (claude-code, codex, gemini-cli, goose, opencode, openhands, fast-agent); the stdio and WebSocket client channels on the official agent-client-protocol SDK (protocol version 1); the proxy, which passes the ACP Test Compatibility Kit in front of the test agent (VERDICT: CONFORMANT); the audit; the agent-shield command; @datalayer/agent-shield's policy types.

Not built: agent-shield serve (the proxy over WebSocket, SH-52); registration of the standalone proxy with Datalayer (SH-47: the SaaS client exists, setup --register does not use it yet); the OTEL export (SH-51); the Shield report and conformance (SH-36, SH-60); the TypeScript renderers of diffs and terminals (SH-53).

Claude Code has been run behind the proxy (claude-agent-acp 0.91.0: initialize, session, modes); a turn needs a funded Anthropic API key.

Development

pip install -e ".[test]"
pytest tests/ -q
npm install && npm test            # the TypeScript types against schema/policy.schema.json
make tck                            # the ACP TCK against the proxy (uv tool install acp-tck first)

Documentation

agent-shield.datalayer.tech

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