ernie-image-monitor

ernie-image-monitor is a skill for Claude Code from AgenticAIPlan/AgenticAISkills. It costs 54 tokens per session (1,471 once invoked), scanned A, original, MIT.

A monitoring workflow for finding and analyzing online discussion about ERNIE-Image, an image-generation system, across Chinese websites and social platforms.

In plain words
What is it for?
Use it to scan Zhihu, Xiaohongshu, WeChat Official Accounts, and Baidu Search, either together or by selected platform, and save structured monitoring results.
Why use it?
It gathers mentions from several sources into consistent records instead of requiring separate searches on each platform. It also records the publisher, content, sentiment, and source link.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-ai-skills plugin — 54 skills shipped together

Good fit Use it to scan Zhihu, Xiaohongshu, WeChat Official Accounts, and Baidu Search, either together or by selected platform, and save structured monitoring results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agenticaiplan/agenticaiskills/ernie-image-monitor
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 AgenticAIPlan/AgenticAISkills --skill ernie-image-monitor
Clone the repo
git clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkills

Made for: Claude Code.

Or install agentic-ai-skills, the plugin that ships this one along with the rest of its 54 skills.

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 ernie-image-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/ernie-image-monitor/github.svg)](https://agentmods.dev/skills/agenticaiplan/agenticaiskills/ernie-image-monitor)
Your own site
<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/ernie-image-monitor"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/ernie-image-monitor/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 ernie-image-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/ernie-image-monitor"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/ernie-image-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,471 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 $0.00054 $0.01471
Opus 5 $0.00027 $0.00736
Sonnet 5 $0.00011 $0.00294
Haiku 4.5 $0.00005 $0.00147

Measured 12d ago against content hash 4e345be9c065, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ernie-image-monitor 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 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/monitor.py, scripts/xhs_detail.py, scripts/zhihu_detail.py), 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.

skills/ernie-image-monitor/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ERNIE-Image 舆情监测

Monitor mentions of ERNIE-Image across Zhihu, Xiaohongshu, WeChat Official Accounts, and Baidu Search. Collect structured data including account name, content, sentiment judgment, and source URL.

Prerequisites

  • OpenCLI installed at ~/.local/bin/opencli (v1.7.4+)
  • Chrome browser extension installed for cookie-based platforms (Zhihu, XHS)
  • Run ~/.local/bin/opencli doctor to verify browser bridge connectivity

If OpenCLI is not installed, run:

npm install -g @jackwener/opencli --prefix ~/.local

For Chrome extension: load unpacked from ~/.local/lib/node_modules/@jackwener/opencli/extension/.

Quick Start

Run a full multi-platform scan (with XHS detail fetch):

python3 scripts/monitor.py --limit 20 --save

Run without XHS detail fetch (faster):

python3 scripts/monitor.py --limit 20 --save --no-detail

Run on specific platforms:

python3 scripts/monitor.py --platforms zhihu xhs --limit 20
python3 scripts/monitor.py --platforms weixin baidu --limit 10

Output Fields

Each collected item includes:

Field Description
platform 知乎 / 小红书 / 微信公众号 / 百度搜索
account 发布者账号或公众号名称
title 标题
content_snippet 内容摘要(前 200 字)
sentiment 正面 ✅ / 负面 ❌ / 中性 ➖
url 来源链接
fetched_at 采集时间

Sentiment Analysis (Semantic — by Claude)

The script collects raw data with sentiment field left empty. Claude must fill in sentiment judgment semantically after receiving the results — do NOT use keyword matching.

For each item, read title + content_snippet and judge:

  • 正面 ✅: Content praises, recommends, expresses satisfaction, or is objectively positive toward ERNIE-Image
  • 负面 ❌: Content criticizes, complains, expresses disappointment, compares unfavorably, or raises concerns
  • 中性 ➖: Factual introduction, news report, tutorial, or neutral discussion without clear positive/negative stance

When presenting results to the user, include the sentiment label for each item and provide a summary count at the top (e.g., "共 N 条 | 正面 X ✅ 负面 Y ❌ 中性 Z ➖").

Read the full file on GitHub · 157 lines

Files

What ships with it

5 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. 12d ago First seen · 157 lines · 54 tokens per session scan A 4e345be9c065

Subscribe to this mod's changes

ernie-image-monitor is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 54 tokens to every session and 1,471 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 2026-08-30.

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