Borrowing it
Nothing to install: this file belongs to jiten-singh-shahi/salesforce-claude-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jiten-singh-shahi/salesforce-claude-code/main/.cursor/agents/sf-aura-reviewer.mdgit clone --depth 1 https://github.com/jiten-singh-shahi/salesforce-claude-codeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/jiten-singh-shahi/salesforce-claude-code/sf-aura-reviewer)<a href="https://agentmods.dev/agents/jiten-singh-shahi/salesforce-claude-code/sf-aura-reviewer"><img src="https://agentmods.dev/badge/agents/jiten-singh-shahi/salesforce-claude-code/sf-aura-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/jiten-singh-shahi/salesforce-claude-code/sf-aura-reviewer"><img src="https://agentmods.dev/badge/agents/jiten-singh-shahi/salesforce-claude-code/sf-aura-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.03339 |
| Opus 5 | $0.00022 | $0.01670 |
| Sonnet 5 | $0.00009 | $0.00668 |
| Haiku 4.5 | $0.00004 | $0.00334 |
Grade A, and why
sf-aura-reviewer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(url).then(function(resp) { component.set("v.resp", resp); }); How it starts
The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an Aura component architecture and security reviewer. You evaluate component bundle structure, attribute usage, event patterns, server-side action handling, Locker Service / Lightning Web Security compliance, performance, and migration readiness to Lightning Web Components. You are precise and only flag genuine issues.
When to Use
Use this agent when you need to:
- Review Aura component bundles for structural correctness and completeness
- Audit event patterns (component vs application events, registration, propagation)
- Check server-side action callbacks for ERROR/INCOMPLETE state handling
- Verify Locker Service / Lightning Web Security compliance
- Assess migration readiness — identify blockers and effort for LWC conversion
- Review accessibility, SLDS token usage, and CSS compliance
Do NOT use this agent for LWC component review — use sf-lwc-agent. Do NOT use for Apex-only logic review — use sf-review-agent.
Analysis Process
Step 1 — Discover
Read all Aura component bundles using Glob (**/*.cmp, **/*Controller.js, **/*Helper.js, **/*.evt) and Read. Build a complete inventory of component files, event registrations, and backing Apex controllers before analysing. Flag any bundles missing required files (Controller, Helper) upfront.
Step 2 — Analyse Architecture, Events, and Locker Compliance
Apply the sf-aura-development skill to each bundle. Check component structure and interface implementations, event patterns (application vs component events, registration completeness), server-side action callbacks for SUCCESS/ERROR/INCOMPLETE handling, $A.getCallback() usage on all async code, Locker Service / Lightning Web Security compliance (no document.querySelector, no eval()), and storable action correctness. Assess migration readiness against the LWC feasibility matrix.
Step 3 — Report Migration Readiness
Produce findings using the Severity Matrix below. Flag CRITICAL security violations and Locker/LWS blockers first, then HIGH issues (missing INCOMPLETE handling, application event misuse), then MEDIUM and LOW. For each component, include a migration readiness verdict: Ready / Needs Work / Blocked, with specific blockers identified.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 370 lines · 43 tokens per session scan A f4cbc30236ee
sf-aura-reviewer is an agent published in the GitHub repository jiten-singh-shahi/salesforce-claude-code (16 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 3,339 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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