coding_overseer
Ask the cross-repo Overseer agent. It sees all repos, their live sessions, and recent terminal output. Can answer questions and drive Claude Code on specific repos.
This record as markdown: /tools/io-github-proagentstore-platform/coding-overseer.md
What coding_overseer does on ProAgentStore
AI agents invoke coding_overseer to trigger actions in ProAgentStore. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why coding_overseer is rated High
This tool goes beyond read access: it can 'drive Claude Code on specific repos', meaning it can trigger code execution, terminal commands, and modifications across repositories. The cross-repo scope and live session access amplify the blast radius significantly. It is classified as Execute because it can initiate actions in external environments, not merely read data.
From the tool's definition 'drive Claude Code on specific repos' and 'sees all repos, their live sessions, and recent terminal output' — the tool can actively trigger code execution across multiple repositories via an overseer agent
Attacks that exploit this kind of access
The rule that runs coding_overseer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For coding_overseer, this is the rule to start with:
coding_overseer stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every coding_overseer call is checked against it from then on.
Questions about coding_overseer
Ask the cross-repo Overseer agent. It sees all repos, their live sessions, and recent terminal output. Can answer questions and drive Claude Code on specific repos. It is categorised as a Execute tool in the ProAgentStore MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for coding_overseer: 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 ProAgentStore. Nothing to install.
coding_overseer is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the coding_overseer 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 coding_overseer. 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.
coding_overseer is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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