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 code2rich/agentwaker-xiaohongshu-operator --skill engagement-operationsgit clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operatorWrote 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/code2rich/agentwaker-xiaohongshu-operator/engagement-operations)<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="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 | $0.00055 | $0.00325 |
| Opus 5 | $0.00028 | $0.00162 |
| Sonnet 5 | $0.00011 | $0.00065 |
| Haiku 4.5 | $0.00006 | $0.00032 |
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 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.
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
- Use read-only commands such as
xhs comments,xhs sub-comments,xhs notifications, orxhs unread. - Classify comments by intent: question, praise, complaint, lead, spam, risk, or support need.
- Draft reply options.
- Mark sensitive or risky replies.
- 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.
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.
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 · 48 lines · 55 tokens per session scan A ad44cbc57a39
engagement-operations is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 325 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.
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