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Review an agent's logging so a production failure can be replayed without exposing secrets.
Sets the bar at replaying a real failure from the trace without leaking secrets — and catches teams logging cost but not per-step cause.
Listed for review
No verified public repo for this skill yet, so this page does not give you an install command. Skills with a verified source install in one command — or fully manual: copy the skill folder into .claude/skills/ and your agent picks it up.
Boostor Quality Score
84/100 · B
Agent Observability Reviewer reads your agent workflow, logging code, trace examples, and privacy constraints, then returns an observability review: the traces and log fields you need, a redaction policy, and a dashboard plan. The bar is being able to replay a real failure from the trace without leaking secrets — and it specifically catches the gap where teams track aggregate cost but can't see the per-step cause of a failure.
Keep long-running agents under token limits without losing critical state.
The fix for the wall every long-running agent hits — it summarizes old turns before the context window blows, instead of crashing mid-task.
Transparent + deterministic: every point above is computed from this skill's real fields plus a prompt-injection safety scan. No black box, no pay-to-rank.
Scaffold, test, and publish a Model Context Protocol server in minutes.
Writing an MCP server by hand means hours of boilerplate before the first tool runs. This validates against the spec so you skip the silent-failure stage.
Quality-gate an MCP server for schema clarity, tool risk, auth, error behavior, and smoke tests.
More than a schema check: it gates every MCP tool on inputs, failure behavior, and auth — and catches injection riding in through tool descriptions.