v3.1.0 M3: Manually record one outcome for a skill — success
AI agents use apply_skill_outcome to create or update resources in Codevira MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Codevira MCP environment.
This tool creates or modifies skill outcome data within a shared knowledge base, which is a reversible write operation. It does not execute external code, delete data irreversibly, move money, or trigger uncontrolled side effects. The blast radius is limited to updating local skill tracking metadata. Low severity due to the bounded scope of skill outcome recording without cascading effects.
From the tool's definition Tool name 'apply_skill_outcome' and description 'Manually record one outcome for a skill — success' indicates creation or modification of skill outcome records. The verb 'record' and context of a persistent knowledge base system confirms write semantics.
Documented attack patterns abuse exactly the kind of access apply_skill_outcome gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Codevira MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_skill_outcome:
{
"version": "1",
"default": "deny",
"tools": {
"apply_skill_outcome": {
"limits": [
{
"counter": "apply_skill_outcome_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}apply_skill_outcome stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
v3.1.0 M3: Manually record one outcome for a skill — success. It is categorised as a Write tool in the Codevira MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Codevira MCP server in PolicyLayer and add a rule for apply_skill_outcome: 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 Codevira MCP. Nothing to install.
apply_skill_outcome 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 apply_skill_outcome 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 apply_skill_outcome. 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.
apply_skill_outcome is provided by the Codevira MCP server (sachinshelke/codevira). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Codevira MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
48 Codevira MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.