sf-polish

sf-polish is a skill for Claude Code from divingsbysangam/salesforce-compound-engineering-plugin. It costs 126 tokens per session (1,521 once invoked), scanned A, original, MIT.

A review-and-refinement workflow for Salesforce user interfaces, such as LWC, Aura, Experience Cloud, or React clients. Salesforce is a cloud platform for business applications; LWC and Aura are Salesforce interface technologies.

In plain words
What is it for?
Use it to polish a Salesforce front end, check accessibility against WCAG guidelines, refine layout and motion, and improve interface copy.
Why use it?
It helps improve an interface after it already works and passes review, covering visual design, accessibility, and wording without changing Apex business logic.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Persona dispatch.** This skill dispatches personas as isolated subagents — see the `dispatching-parallel-personas` skill for the mechanics (isolated subagents.

Part of the sf-compound-engineering plugin — 68 skills, 1 hook, 2 MCP servers shipped together

Good fit Use it to polish a Salesforce front end, check accessibility against WCAG guidelines, refine layout and motion, and improve interface copy.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/divingsbysangam/salesforce-compound-engineering-plugin
agentmods
npx agentmods add skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish

Made for: Claude Code.

Or install sf-compound-engineering, the plugin that ships this one along with the rest of its 68 skills, 1 hook, 2 MCP servers.

Wrote 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.

agentmods badge for sf-polish

README.md
[![agentmods](https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish/github.svg)](https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish)
Your own site
<a href="https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish"><img src="https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish/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.

agentmods 80×15 button for sf-polish

Your own site · 80×15
<a href="https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish"><img src="https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,521 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.01521
Opus 5 $0.00063 $0.00760
Sonnet 5 $0.00025 $0.00304
Haiku 4.5 $0.00013 $0.00152

Measured 9d ago against content hash b2023688caa4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

sf-polish scanned grade A with 0 findings 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 9d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/sf-polish/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/sf-polish

Persona dispatch. This skill dispatches personas as isolated subagents — see the dispatching-parallel-personas skill for the mechanics (isolated subagents, same-response parallelism, same-file-conflict check). The reviewers it dispatches (e.g. sf-lwc-accessibility-guardian, sf-aura-migration-advisor) are review personas referenced from ../sf-review/references/personas/.

Principles enforced: especially 1 (preserve the quality ceiling — the finished thing must feel right, not merely compile) and 5 (taste over typing — UX and copy are human-judgment calls). See PRINCIPLES.md.

This is the back "bread" of the compound loop. Correctness has passed /sf-review; now refine the experience: visual design, layout, accessibility, motion, and copy. It is stack-aware — it detects the front-end surface in scope and applies the right lens through a profile registry, so new Salesforce front-end stacks are added as profiles rather than rewrites.

Polish is a quality/taste pass, not a bug or governor hunt — that is /sf-review. Polish does not change Apex business logic.

Step 1: Resolve scope and detect the surface

Resolve scope: a user-named component/app, else the branch diff (git diff origin/main..., falling back to git diff HEAD), else recently edited files.

Classify the changed files into front-end surfaces:

  • *.js / *.html / *.css inside an lwc/ bundle → LWC

  • *.cmp / *.app / *Controller.js / *Helper.js inside aura/Aura

  • LWR / Experience Cloud bundles (experiences/, digitalExperiences/, themes/branding sets) → Experience Cloud (LWR)

  • A React/TS/JSX client that talks to Salesforce via UI API / GraphQL / Lightning Out / a Heroku app → React / headless

If no front-end surface is in scope, stop. Report that polish does not apply to pure Apex/Flow/metadata work and point to /sf-review.

Step 2: Select the stack profile

Each profile names the lens, the design system, and which existing personas/skills to dispatch. The registry is intentionally a table so new stacks (e.g. a future Salesforce front-end framework) drop in as one more row.

Read the full file on GitHub · 69 lines

Changes

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.

  1. 9d ago First seen · 69 lines · 126 tokens per session scan A b2023688caa4

Subscribe to this mod's changes

sf-polish is a skill published in the GitHub repository divingsbysangam/salesforce-compound-engineering-plugin (10 stars, last pushed 5d ago), licensed MIT. It adds 126 tokens to every session and 1,521 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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