experience-cloud-moderation

experience-cloud-moderation is a skill for Claude Code, Codex from BanibrataChatterjee/AwesomeSalesforceSkills. It costs 85 tokens per session (2,854 once invoked), scanned A, original, Apache-2.0.

A guide to moderating content in a Salesforce Experience Cloud community. It covers automatic rules, member reputation levels, and a queue where moderators review flagged content.

In plain words
What is it for?
Use it to configure keyword or criteria-based filtering, reputation points and levels, moderation actions, and the human review queue.
Why use it?
It helps control inappropriate posts and define what happens when content matches a rule. It also gives moderators a consistent process for reviewing content held for approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to configure keyword or criteria-based filtering, reputation points and levels, moderation actions, and the human review queue.

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Install with agentmods
npx agentmods add skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation
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 BanibrataChatterjee/AwesomeSalesforceSkills --skill experience-cloud-moderation
Clone the repo
git clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkills

Made for: Claude Code, Codex.

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 experience-cloud-moderation

README.md
[![agentmods](https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation/github.svg)](https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation)
Your own site
<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation/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 experience-cloud-moderation

Your own site · 80×15
<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/experience-cloud-moderation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,854 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 $0.00085 $0.02854
Opus 5 $0.00043 $0.01427
Sonnet 5 $0.00017 $0.00571
Haiku 4.5 $0.00009 $0.00285

Measured 7d ago against content hash dad7c4b5f982, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

experience-cloud-moderation 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_experience_cloud_moderation.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/admin/experience-cloud-moderation/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Experience Cloud Moderation

Use this skill to configure the three-layer moderation system for an Experience Cloud community: automated rule-based content filtering, a reputation system that assigns levels and points to members, and a moderation queue where human moderators review flagged or held content. Activate when a practitioner needs to control what community members can post, build trust through member reputation, or establish a review workflow before content goes live.


Before Starting

Gather this context before working on anything in this domain:

  • Confirm the Experience Cloud site exists and is in a sandbox or scratch org. Moderation rules are site-specific; confirm which site(s) are in scope.
  • Identify who will moderate: one or more users need the "Moderate Experiences Feeds" permission (via permission set or profile). Without this permission, users cannot access the moderation queue.
  • Understand the desired content actions — Block (prevents post), Replace (substitutes offending text), Flag (marks for human review without hiding), Review (hides content from everyone except the author and moderators until approved). Each has a different user-facing impact.
  • Reputation points are not retroactive. Any levels configured after member activity begins will not credit historical actions. Clarify whether a migration plan is needed.
  • The site must have Chatter/feeds enabled. Reputation and rules apply to feed posts and comments, not CMS content pages.

Core Concepts

Rule-Based Automated Moderation

Moderation rules are created in Setup > Experience Cloud Sites > Moderation. Each rule defines:

  • Criteria type: Keyword list (matches text content) or Member criteria (targets members by join date, post count, or reputation level — useful for throttling new members).
  • Content type: Posts, comments, files, or all feed items.
  • Action: Block, Replace, Flag, or Review.

Rules are evaluated in the order they appear in Setup. The first matching rule wins; subsequent rules are not evaluated for the same content item. Order matters and should be intentional — place high-priority Block rules above lower-priority Flag rules.

Read the full file on GitHub · 209 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 209 lines · 85 tokens per session scan A dad7c4b5f982

Subscribe to this mod's changes

experience-cloud-moderation is a skill published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 85 tokens to every session and 2,854 once invoked, about $0.0004 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 2026-09-03.

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