STEP 3 of ATOMIC ACTION 2 (install safely into this repo). Safely install a TokRepo asset into local Codex. Defaults to dry_run=true. To write files, set dry_run=false and confirm=true. Risky assets require stage=true or approve_risk=true. Always call tokrepo_install_plan + tokrepo_verify first. ...
AI agents use tokrepo_codex_install to create or update resources in TokRepo — AI Asset Registry — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TokRepo — AI Asset Registry environment.
The tool modifies the local Codex by installing assets (skills, prompts, configs, workflows). While primarily a Write operation (creates/installs files), the ability to install arbitrary AI assets—especially those flagged as 'risky'—combined with the context of installing executable workflows and the existence of a rollback mechanism (suggesting potential side effects) elevates this to high severity.
From the tool's definition 'Safely install a TokRepo asset into local Codex' and 'To write files, set dry_run=false and confirm=true' indicate creation/modification of files.
Attacks that exploit this kind of access
STEP 3 of ATOMIC ACTION 2 (install safely into this repo). Safely install a TokRepo asset into local Codex. Defaults to dry_run=true. To write files, set dry_run=false and confirm=true. Risky assets require stage=true or approve_risk=true. Always call tokrepo_install_plan + tokrepo_verify first. On any failure call tokrepo_rollback (STEP 4 — the escape). It is categorised as a Write tool in the TokRepo — AI Asset Registry MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TokRepo — AI Asset Registry MCP server in PolicyLayer and add a rule for tokrepo_codex_install: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches TokRepo — AI Asset Registry. Nothing to install.
tokrepo_codex_install is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the tokrepo_codex_install rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for tokrepo_codex_install. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
tokrepo_codex_install is provided by the TokRepo — AI Asset Registry MCP server (tokrepo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →