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 AgenticAIPlan/AgenticAISkills --skill ernie-image-monitorgit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/ernie-image-monitor)<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.
<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>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 | $0.00054 | $0.01471 |
| Opus 5 | $0.00027 | $0.00736 |
| Sonnet 5 | $0.00011 | $0.00294 |
| Haiku 4.5 | $0.00005 | $0.00147 |
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.
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.
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 doctorto 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 ➖").
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.
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.
- 12d ago First seen · 157 lines · 54 tokens per session scan A 4e345be9c065
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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