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.
npx skills add BanibrataChatterjee/AwesomeSalesforceSkills --skill community-engagement-strategygit clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkillsWrote 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/skills/banibratachatterjee/awesomesalesforceskills/community-engagement-strategy)<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/community-engagement-strategy"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/community-engagement-strategy/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/skills/banibratachatterjee/awesomesalesforceskills/community-engagement-strategy"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/community-engagement-strategy.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 | $0.00088 | $0.02892 |
| Opus 5 | $0.00044 | $0.01446 |
| Sonnet 5 | $0.00018 | $0.00578 |
| Haiku 4.5 | $0.00009 | $0.00289 |
Grade A, and why
community-engagement-strategy 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Community Engagement Strategy
Use this skill when designing the engagement model for an Experience Cloud community site — covering reputation gamification, ideation workflow, and content contribution strategy. This skill does NOT configure moderation rules, guest user access, or the technical site template.
Before Starting
Gather this context before working on anything in this domain:
- Confirm the Experience Cloud site is already provisioned and the domain is active; reputation and ideation cannot be enabled on a site that has not yet been activated.
- Clarify which member behaviors the community sponsor most wants to incentivize — answering questions, posting ideas, writing articles, or some combination — because point thresholds must reflect that priority.
- Understand whether content ownership has been decided: who is responsible for each content area (product, support, marketing). Undefined ownership is the most common cause of stale community content after launch.
- Note that reputation points are not retroactive: members who acted before Reputation was enabled will not receive points for historical activity.
Core Concepts
Reputation (Gamification)
Experience Cloud Reputation is a point-based system with up to 10 configurable tiers per community site. Admins assign point thresholds and meaningful tier names to each level. Points are awarded per action type:
| Action | Configurable? | Notes |
|---|---|---|
| Writing a post | Yes | Base engagement action |
| Commenting | Yes | Separate threshold from posting |
| Receiving a like | Yes | Passive recognition |
| Marking a best answer | Yes | High-value behavior to incentivize |
| Asking a question | Yes | Distinguish from answering |
Tier names matter significantly. Generic labels ("Level 1", "Level 2") generate less engagement than role-meaningful names ("Newcomer", "Trusted Advisor", "Community Expert"). Reputation level and tier name are displayed on the member profile card across all community pages. Members can see each other's levels, creating social incentive.
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.
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.
- 8d ago First seen · 200 lines · 88 tokens per session scan A 173a5a83cd94
community-engagement-strategy is a skill published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 88 tokens to every session and 2,892 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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