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 agentmods add skills/brainrot-creations/claude-plugins/engagenpx skills add Brainrot-Creations/claude-plugins --skill engagegit clone --depth 1 https://github.com/Brainrot-Creations/claude-pluginsWrote 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/brainrot-creations/claude-plugins/engage)<a href="https://agentmods.dev/skills/brainrot-creations/claude-plugins/engage"><img src="https://agentmods.dev/badge/skills/brainrot-creations/claude-plugins/engage.svg" alt="Measured on agentmods" 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 | $0.00008 | $0.00474 |
| Opus 5 | $0.00004 | $0.00237 |
| Sonnet 5 | $0.00002 | $0.00095 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
engage 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- engage — 100% identical, 0 lines differ
What it actually says
Engage with Posts
Find relevant conversations and craft valuable replies to grow your presence.
Workflow
-
Check connection
socials_check_access -
Get targeting info Ask if not provided:
- Platform: X, LinkedIn, or Reddit?
- Topics/keywords to search for
- Niche or expertise area
- Time available (quick session or deep engagement?)
-
Find opportunities
On X:
socials_open_tab({ url: "https://x.com/home" }) socials_x_search({ query: "[keywords]", type: "Latest" }) socials_get_feed({ platform: "x" })On LinkedIn:
socials_open_tab({ url: "https://linkedin.com/feed" }) socials_linkedin_posts_search({ query: "[keywords]" }) socials_get_feed({ platform: "linkedin" })On Reddit:
socials_open_tab({ url: "https://reddit.com/r/[subreddit]/new" }) socials_get_feed({ platform: "reddit" }) -
Qualify posts Look for:
- Recent posts (< 24 hours)
- Relevant to user's expertise
- Not already saturated with replies
- Genuine opportunity to add value
-
Get full context
socials_get_post_context({ post_url: "..." }) -
Craft replies Use
socials_generate_replywith appropriate persona, or draft directly.Good replies:
- Add unique insight or experience
- Answer questions helpfully
- Extend the conversation
Bad replies:
- Generic ("Great post!")
- Pure self-promotion
- Off-topic
-
Get approval and post Always confirm exact text before posting:
socials_quick_reply({ post_url: "...", reply_text: "..." })
Arguments
If the user provides text after /socials:engage, use it as the topic focus.
Example: /socials:engage with AI startup discussions on X
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.
- 6d ago First seen · 82 lines · 8 tokens per session scan A 2df169113140
engage is a skill published in the GitHub repository Brainrot-Creations/claude-plugins (22 stars, last pushed 2mo ago), licensed MIT. It adds 8 tokens to every session and 474 once invoked, about $0.0000 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 2026-08-30.
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