Skill · Development
Performance testing review multi agent review
Use when working with performance testing review multi agent review
How to use it
- Start your plan and connect your AI once
- Ask for the task in your own words, or say it directly:
Use the Performance testing review multi agent review skill to help me with this.Without a connection: copy the SKILL.md below into your AI's project instructions.
Compatibility and maintenance
Compatibility alias of error-debugging-multi-agent-review; use that ID for new references when no existing contract requires this one. The full instructions and support files remain local so existing installations continue to work offline. This is one shared procedure, not an additional capability. Preserve the callable ID when an existing manifest or client configuration uses it. Modified in AAS on 2026-09-05; original metadata and license notices are retained.
Coordinate a bounded code review
When to Use
Review a defined diff or subsystem from several relevant perspectives, such as correctness, authorization and performance. The skill describes a review procedure; it does not install an orchestration engine or prove compliance.
Inputs and execution scope
Pin repository/base/head, the changed paths, intended behavior and available tests. Use independent agents only if the user authorizes delegation and the host supports it. Otherwise conduct the perspectives sequentially. Do not spawn agents merely because this callable ID contains “multi-agent”. Read-only review is the default; fixes, external posts and deployment stay within the user's actual task authority.
Review process
- Read the complete diff and the directly affected call paths and tests.
- Choose only perspectives relevant to the change. Give each authorized reviewer a
- Record findings with exact locations, trigger, consequence and reproduction. Keep
- Reproduce important findings centrally. Deduplicate by root cause, not wording.
- Resolve disagreement through code or tests. Weighted votes and multiple agents
- Return blockers first, then material improvements and untested areas. Preserve
bounded question, owned paths, time/effort limit and expected evidence format.
hypotheses separate from demonstrated failures; do not invent confidence scores.
repeating a claim are not evidence of correctness.
the original failing result; a rerun does not erase it.
Example
For a tenant-scoped cache change, review key construction, authorization context and invalidation. Reproduce two tenants requesting the same prompt and different prompt versions within one tenant. Expected result: a finding only if an actual cross-scope hit or stale result can occur, with the smallest case showing it. A general style opinion must not be presented as a data-exposure defect.
Limitations
No agent-routing code, compliance validator or quality-score calculator is bundled. Parallel review adds cost and can duplicate blind spots. This procedure cannot prove whole-repository safety from a diff, nor authorize production load tests or messages.