agentmods.dev

sf-agent-native-audit

sf-agent-native-audit is a skill for Claude Code from divingsbysangam/salesforce-compound-engineering-plugin. It costs 59 tokens per session (514 once invoked), scanned A, original, MIT.

A Salesforce review guide for checking whether agents can perform the same actions as people using Salesforce screens or Setup. Salesforce is a business platform for managing data, workflows, and customer operations.

In plain words
What is it for?
Use it to review Salesforce features by matching each screen action with an API, command-line, or MCP route and checking access controls.
Why use it?
It exposes gaps where an agent has fewer options than a human, or where permissions behave differently through APIs and user interfaces.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions Claude Code.

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

not rated 10repo 5d ago A scan 59 tokens original MIT

Good fit Use it to review Salesforce features by matching each screen action with an API, command-line, or MCP route and checking access controls.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-agent-native-audit
View source ↗ divingsbysangam/salesforce-compound-engineering-plugin
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add divingsbysangam/salesforce-compound-engineering-plugin --skill sf-agent-native-audit
Clone the repo
git clone --depth 1 https://github.com/divingsbysangam/salesforce-compound-engineering-plugin

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-agent-native-audit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-agent-native-audit"><img src="https://agentmods.dev/badge/skills/divingsbysangam/salesforce-compound-engineering-plugin/sf-agent-native-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 514 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 $0.00059 $0.00514
Opus 5 $0.00030 $0.00257
Sonnet 5 $0.00012 $0.00103
Haiku 4.5 $0.00006 $0.00051

Measured 9d ago against content hash 1e2dee610c1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

sf-agent-native-audit 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-agent-native-audit/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sf-agent-native-audit

Verify human/agent affordance parity on a Salesforce surface; flag gaps where agents have less power than UI users.

<feature_description> #$ARGUMENTS </feature_description>

Salesforce Angle

  • Map each UI action to its API/CLI/MCP counterpart.
  • Flag UI-only paths (e.g., setup gestures with no Metadata API equivalent) as parity gaps.
  • Verify FLS/CRUD enforcement is identical across channels.

Interaction Method

When asking the user a question, use the platform's blocking question tool (AskUserQuestion in Claude Code, request_user_input in Codex, ask_user in Gemini). Fall back to numbered options in chat when no blocking tool is available. Ask one question at a time. Prefer concise single-select choices when natural options exist.

Procedure

This skill follows the standard sf-compound-engineering execution discipline:

  1. Understand the input — read the <feature_description> block above and any referenced files, plans, or issues.
  2. Plan a small set of phases — break the work into 2-5 ordered steps that an implementer (or another skill) can verify.
  3. Apply the Salesforce Angle notes above — these encode the platform-specific considerations (governor limits, sharing context, deploy ordering, FLS, metadata semantics) that distinguish this skill from generic counterparts.
  4. Use Salesforce-aware contexts and commands — file paths under force-app/main/default/..., test commands like sf apex run test, deploy commands like sf project deploy validate and sf project deploy start, query the org with sf data query when state inspection is needed.
  5. Surface decisions back to the user — when a step requires a choice that materially affects scope or risk, ask using the platform's blocking question tool rather than guessing.
  • Salesforce knowledge: docs/solutions/ (search via the sf-learnings-researcher agent).
  • Plugin conventions: see CLAUDE.md for frontmatter, naming, and protected-artifact rules.

Read the full file on GitHub · 39 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 · 39 lines · 59 tokens per session scan A 1e2dee610c1f

Subscribe to this mod's changes

sf-agent-native-audit is a skill published in the GitHub repository divingsbysangam/salesforce-compound-engineering-plugin (10 stars, last pushed 5d ago), licensed MIT. It adds 59 tokens to every session and 514 once invoked, about $0.0003 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.

Building agentsCode review
Related

Other skills, from other repositories

autoreview

Pre-commit/ship code review: Codex default; optional Claude or Pi.

openclaw/clawhub · 20 tokens

rework-rate

Measure and interpret PR rework rate — the emerging 5th DORA metric.

bradygaster/squad · 20 tokens

omh-code-review

This is a Hermes-native code-review workflow skill.

rlaope/oh-my-hermes · 46 tokens

revdiff-plan

Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…

umputun/revdiff · 84 tokens

code-reviewer

Code review specialist focused on patterns, bugs, security, and performance.

RightNow-AI/openfang · 17 tokens

agent-teams-simplify-and-harden

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…

LeoYeAI/openclaw-master-skills · 115 tokens