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engagement-operations

engagement-operations is a skill for Claude Code, Codex from code2rich/agentwaker-xiaohongshu-operator. It costs 55 tokens per session (325 once invoked), scanned A, original, MIT.

A review-and-reply workflow for Xiaohongshu, a Chinese social platform for user posts and comments. It reads comments and notifications, groups them by intent, and prepares responses for approval.

In plain words
What is it for?
Reviewing audience comments and notifications, drafting replies, identifying sensitive messages, and preparing approved replies, likes, follows, or comments.
Why use it?
It helps separate useful questions, complaints, leads, spam, and risky messages without sending account actions automatically.

Skill for Claude CodeCodex

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

not rated 5repo 3mo ago A scan 55 tokens original MIT

Good fit Reviewing audience comments and notifications, drafting replies, identifying sensitive messages, and preparing approved replies, likes, follows, or comments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations
View source ↗ code2rich/agentwaker-xiaohongshu-operator
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 code2rich/agentwaker-xiaohongshu-operator --skill engagement-operations
Clone the repo
git clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operator

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 engagement-operations

README.md
[![agentmods](https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations/github.svg)](https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations)
Your own site
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations/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 engagement-operations

Your own site · 80×15
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/engagement-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 325 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 $0.00055 $0.00325
Opus 5.5 $0.00022 $0.00130
Sonnet 5.5 $0.00011 $0.00065
Haiku 4.5 $0.00006 $0.00032

Measured 2mo ago against content hash ad44cbc57a39, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engagement-operations 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 2mo 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.

xiaohongshu-operator-skills/engagement-operations/SKILL.md · 48 lines

What it actually says

Engagement Operations

Purpose

Review comments and notifications, classify audience intent, and draft safe replies or interaction actions.

Trigger Conditions

Use this skill when the user asks to check comments, reply to users, triage notifications, or manage Xiaohongshu engagement.

Required Inputs

  • Note URL or note ID when comments are note-specific.
  • Reply tone and boundaries.
  • Any prohibited topics or claims.

Workflow

  1. Use read-only commands such as xhs comments, xhs sub-comments, xhs notifications, or xhs unread.
  2. Classify comments by intent: question, praise, complaint, lead, spam, risk, or support need.
  3. Draft reply options.
  4. Mark sensitive or risky replies.
  5. Ask approval before xhs reply, xhs comment, xhs like, xhs follow, or other account writes.

Outputs

  • Engagement summary.
  • Comment categories.
  • Reply drafts.
  • Risk notes and approval request.

Approval Gates

All replies and account interactions require approval.

Failure Handling

If comments cannot be fetched, ask for screenshots, note URL, or pasted comments.

Handoff Rules

Handoff to ProductManager when replies require product policy, pricing, offer, or official positioning decisions.

Files

What ships with it

1 file 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. 2mo ago First seen · 48 lines · 55 tokens per session scan A ad44cbc57a39

Subscribe to this mod's changes

engagement-operations is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 325 once invoked, about $0.0002 per session on Opus 5.5. 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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engagement-operations compared with skills from other repositories

engagement-operations next to 6 skills from other repositories
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engagement-operationscode2rich/agentwaker-xiaohongshu-operatorSkill53mo agoMITA55Claude Code, Codex
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