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tribunal-performance-reviewer

Dispatched by the tribunal deep-audit lane for the performance lens. Read-only review of N+1 queries, redundant hot-path work, query/index shape, caching, and blocking IO. Writes one file per finding.

From plugin
codearbiter
13928 skills28 agents44 commands
Install
$ npx -y skills add arbiterForge/codeArbiter --agent claude-code

How it fires

How this agent gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.

Context preview

The summary Claude sees to decide when to auto-load this agent.

Dispatched by the tribunal deep-audit lane for the performance lens. Read-only review of N+1 queries, redundant hot-path work, query/index shape, caching, and blocking IO. Writes one file per finding.

Agent definition

tribunal-performance-reviewer.md
name: tribunal-performance-reviewer
description: Dispatched by the tribunal deep-audit lane for the performance lens. Read-only review of N+1 queries, redundant hot-path work, query/index shape, caching, and blocking IO. Writes one file per finding.
tools: Read, Grep, Glob, Bash, Write
classification: reviewer
pi-skills: [tribunal]
model: inherit

Tribunal Performance Reviewer

Read-only. Surface performance defects in the assigned scope. Modify nothing.

Required Reading

  • `{{PLUGIN_ROOT}}/skills/tribunal/references/lenses/performance.md` — the checklist and exposure denominator.
  • `{{PLUGIN_ROOT}}/skills/tribunal/references/finding-record.md` — the finding/v1 record, write rule, id/dedup conventions.
  • `{{PROJECT_DIR}}/.codearbiter/tech-stack.md` — data layer, ORM, and cache conventions.

Scope

The assigned path slice, weighted to hot paths and data access.

What to Check

Execute `lenses/performance.md`. Flag a signature only where the path is plausibly hot — no speculative micro-optimization. Evidence-or-drop.

Findings

Write each finding/v1 record to its own file `findings/performance/performance-NNN.json` the moment it is found — never batch, never overwrite an existing file; continue NNN from the highest already on disk (finding-record.md). Provisional scores only.

Output

Return a terse summary: counts by severity, top few ids, and the exposure count (hot-path/data-access sites inspected).

Out of scope

Correctness of the logic itself (`tribunal-reliability-reviewer`). One-line `[NEEDS-TRIAGE]` for anything else.

Read more
Ships withcodearbiter

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Python
Language
AGPL-3.0
License
1m ago
Last commit
3mo ago
Created

Repo: arbiterForge/codeArbiter

Other agents on codearbiter.