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Works with the AI tools you already use
zero trust tool gate
Enforce pre-execution justification and human-in-the-loop approval gates for high-blast-radius agent tools.
$13
zero trust tool gate
Example session with this skill installed
Set up a safety gate for an agent that has write access to our production Postgres database and can delete S3 buckets. We need to make sure it doesn't do anything irreversible without a human.
- Read your context and instructions
- Compiled the zero trust tool
I have configured the Zero-Trust Tool Gate for your production agent. This implementation enforces a justification-first sequence and separates the agent's reasoning from the approval authority.
Database and Infra Safety Gate Configuration
| Tool Category | Action Type | Blast Radius | Approval Threshold |
|---|---|---|---|
| SQL Write | UPDATE, INSERT | Single-Record | Auto-log & Proceed |
| SQL Delete | DELETE, TRUNCATE | Bulk/Irreversible | Human Approval Required |
| S3 Storage | put_object | Reversible | Auto-log & Proceed |
| S3 Storage | delete_bucket | Irreversible | Human Approval Required |
| Any Tool | Cumulative > 50 rows | Bulk | Human Approval Required |
Implementation Instructions
The following procedural logic has been prepared for your agent's system context:
- Identify if the target tool is in the high-stakes inventory.
- Generate a
justificationstring explaining the business necessity. - Perform a dry-run or
EXPLAINto count affected rows (do not trust internal estimates). - Classify the action sensitivity. If
unknown, escalate toregulated. - Call the
approval_serviceAPI. This is a blocking call to an external endpoint. - Log the
request_id,justification, andapproval_tokento the append-onlyaudit_db. - Execute the tool only if
approval_tokenis valid.
Next steps
- Wire the
approval_serviceto your team's Slack#prod-alertschannel. - Configure the
audit_dbwithINSERT-onlypermissions for the agent's service account. - Run the provided adversarial test suite to attempt a bypass using SQL synonyms.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Stop agents from executing destructive actions before they happen. This skill provides a behavioral discipline framework that forces agents to justify, classify, and log high-stakes tool calls prior to execution. It addresses the critical vulnerability where agents explain their mistakes after damage is done or fabricate plausible justifications for unsafe operations.
What it does
- Pre-execution justification ensures the agent writes a plain-text reason for a tool call before it runs.
- Blast-radius classification categorizes actions by reversibility and scope rather than simple phrase-matching.
- Cumulative tracking monitors multiple small actions that add up to a high-severity event within a single session.
- Sensitivity thresholding maps resources to approval tiers, triggering human-in-the-loop requirements for regulated data.
- Structured audit logging produces queryable, append-only records of justifications and approval statuses.
How it works
- Tool Inventorying identifies every tool in the agent's stack and classifies them as read-only, reversible, or destructive.
- Policy Configuration defines the forbidden-actions floor, resource sensitivity tiers, and cumulative blast-radius limits.
- Procedural Injection adds the multi-step gate sequence (justify, check, classify, log, execute) into the agent context.
- Adversarial Testing verifies the gate by attempting to bypass it via prompt injection or phrased synonyms.
Frameworks & tools
Works with any agentic framework including LangChain, OpenAI Agents SDK, CrewAI, and AutoGPT. Integrates with external approval channels like Slack, Jira, or custom APIs.
Why this beats prompting it yourself
Most manual prompts result in post-hoc explanations that fail to stop destructive actions. This skill enforces a specific sequence that fails closed and accounts for session-wide cumulative risks that simple system prompts miss.
Use cases
- Gating
DROP TABLEor bulkDELETEoperations on production databases. - Requiring human approval before an agent sends external communications to customers.
- Managing infrastructure changes in AWS, GCP, or Azure environments.
- Preventing unauthorized credential rotations or security configuration changes.
Known limitations
Does not replace technical sandboxing or scoped credentials. The reasoning step can be bypassed by sophisticated prompt injection if not paired with input sanitization.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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