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xiaohongshu-operator-skills

xiaohongshu-operator-skills is a skill for Codex from code2rich/agentwaker-xiaohongshu-operator. It costs 82 tokens per session (1,972 once invoked), scanned A, original, MIT.

A routing guide for a complete Xiaohongshu operator toolkit. Xiaohongshu is a social platform where people publish short posts, images and recommendations.

In plain words
What is it for?
Use it to coordinate Xiaohongshu work, check required inputs and permissions, and hand tasks between the toolkit's specialised skills.
Why use it?
It helps choose the right skill for research, planning, drafting, visual creation, publishing, engagement or performance review.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

not rated 5repo 3mo ago A scan 82 tokens original MIT

Good fit Use it to coordinate Xiaohongshu work, check required inputs and permissions, and hand tasks between the toolkit's specialised skills.

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

Made for: 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 xiaohongshu-operator-skills

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/xiaohongshu-operator-skills"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/xiaohongshu-operator-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,972 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 $0.00082 $0.01972
Opus 5.5 $0.00033 $0.00789
Sonnet 5.5 $0.00016 $0.00394
Haiku 4.5 $0.00008 $0.00197

Measured 2mo ago against content hash 900613f4635b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

xiaohongshu-operator-skills 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.

The scan reads SKILL.md. This mod also ships 5 executable files (codex-visual-production/scripts/test_visual_inbox.py, codex-visual-production/scripts/visual_inbox.py, jpage-official/assets/plugin/highlight/plugin.js, …), 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.

xiaohongshu-operator-skills/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Xiaohongshu Operator Skills

Purpose

Provide a single entry point for the Xiaohongshu Operator's reusable skills. This file describes every skill in the package, defines how they chain together, and states the environment and approvals required to run them safely.

Trigger Conditions

Use this meta-skill when:

  • The user asks what this role can do or which skill owns a Xiaohongshu-related task.
  • A request could match more than one skill and needs routing.
  • A workflow must coordinate multiple skills (for example, trend research -> content planning -> note drafting -> publishing checklist).
  • You need to confirm that required environment variables and approvals are in place before invoking a skill.

Required Inputs

  • User goal or task statement.
  • Account or brand positioning and target audience when available.
  • Locally configured environment variables from env/.env.example for the skills that will run.
  • Explicit approval status for any Xiaohongshu account write, public JPage upload, overwrite, delete, visibility change, or remote skill sync.

Workflow

  1. Identify the user's primary intent against the skill catalog below.
  2. Confirm the target account state, available credentials, and required approvals.
  3. Load only the environment variables needed for the selected skill path; never load secrets into tracked files or logs.
  4. Invoke the matching specialist skill. For multi-step workflows, hand off in this order:
    • trend-research -> content-planning -> note-drafting -> xiaohongshu-visuals -> codex-visual-production -> publishing-checklist when Kimi or another non-Codex runtime requests Codex-built conceptual assets.
    • Skip xiaohongshu-visuals only when the deliverable genuinely has no visual-production requirement; do not substitute an image brief for requested finished visuals.
    • engagement-operations and performance-review can follow published notes.
    • jpage-publishing, jpage-skill-sync, and jpage-official run only when an explicit Xiaohongshu-supporting artifact or role-safe upstream synchronization is requested.
  5. Return evidence, residual risks, and the next action after each handoff or terminal step.

Read the full file on GitHub · 100 lines

Files

What ships with it

38 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. 2mo ago First seen · 100 lines · 82 tokens per session scan A 900613f4635b

Subscribe to this mod's changes

xiaohongshu-operator-skills is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 1,972 once invoked, about $0.0003 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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