技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 161 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：arthuronai/iran-intelligence-radar
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill's code and docs largely implement a Persian‑language X monitoring tool, but there are several mismatches and operational risks (prompt-injection signal, inconsistent tool/dependency declarations, network calls to external endpoints, and plaintext credential use in the shipped config) that warrant caution before installing or running it with real credentials or production data.
目的
Name, description, and code match: the package implements Persian X/Twitter search, translation, trending detection, escalation scoring, Telegram alerts, and billing. Minor inconsistency: SKILL.md/tools list includes 'skillpay_billing' and 'telegram_api' as external tools, but the code implements billing internally (billing.py) and calls telegram via telegram_alert.py (it does not accept a 'telegram_api' tool function). The agent expects host-…
说明范围
SKILL.md and prompts/system_prompt.md describe scanning, translating, scoring, and alerting — and the code follows that flow. The runtime will perform outbound HTTP calls (SkillPay billing and Telegram API) and write logs/state files to disk. The pre-scan detected a 'system-prompt-override' pattern (the skill ships a system_prompt.md to drive behavior), which is expected for an agent but is something to review because system prompts can alter …
安装机制
No install spec; code is instruction + Python files with a minimal requirements.txt (pyyaml, requests, python-dateutil). No network-download/install step in the manifest. Risk from install is low, but running the code will write files and make network calls.
证书
The registry metadata declares no required environment variables, but the shipped config.yaml expects sensitive values (telegram.bot_token, telegram.chat_id) to be placed in the skill config file. Billing code also honors SKILLPAY_BASE_URL via environment. The mismatch (no declared secrets vs. actual config requiring secrets) is concerning: it encourages putting credentials in a repo file instead of a secured platform secret, and the skill wil…
持久
always:false (good). The skill creates/writes logs and state files (logs/, charge_cache.json, trending_history.json, daily_history.json) under the project root and skill directories. This is expected for local persistence, but it means the skill will store histories and potentially sensitive outputs on disk — check where these files will live in your environment.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Iran Intelligence Radar (Persian X Monitor)」。简介：Monitor Persian-language X (Twitter) activity related to Iran, detect high-sign…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/arthuronai/iran-intelligence-radar/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: Iran Intelligence Radar
description: Monitor Persian-language X (Twitter) activity related to Iran, detect high-signal geopolitical events, translate posts, score escalation risk, and generate actionable intelligence reports with optional Telegram alerts and daily briefings.
version: "1.0"
author: OpenClaw Skills
skill_id: "3092da48-a837-4288-94d6-458c6ef0b3e0"
price_per_call: "$0.02"
capabilities:
- Persian X/Twitter monitoring
- Keyword signal detection
- Engagement filtering and ranking
- Translation to English, Arabic, Chinese
- Escalation scoring (0-100)
- Trending narrative detection
- Telegram alert integration
- Daily intelligence briefing generation
inputs:
- user_id
- query
- since_hours (optional)
- custom keywords (optional)
- custom monitored accounts (optional)
outputs:
- ranked tweets
- multilingual translations
- alert classification
- escalation score and level
- trending signals
- markdown intelligence report
- optional daily briefing
tools:
- x_keyword_search
- x_semantic_search
- web_search
- translate_text
- send_alert
- skillpay_billing
- telegram_api
---
# Iran Intelligence Radar
## Overview
Iran Intelligence Radar is an OSINT-focused skill for detecting meaningful geopolitical signals from Persian-language discourse on X (Twitter). It scans configured keywords and accounts, filters and ranks high-engagement posts, translates content for multilingual analysis, computes escalation risk, and outputs a structured Markdown intelligence report.
This skill is designed for journalists, OSINT teams, geopolitical analysts, and monitoring operations that need a rapid understanding of Iranian online narratives.
## Capabilities
- Monitor Persian-language tweets linked to Iran-related security, policy, and protest narratives.
- Detect high-signal content using keyword matching, engagement thresholds, and relevance ranking.
- Translate Persian posts into:
- English (`en`)
- Arabic (`ar`)
- Chinese (`zh`)
- Classify tweet-level alert intensity (`LOW`, `MEDIUM`, `HIGH`).
- Detect trend spikes using keyword volume ratio (`current_count / historical_average`).
- Compute an Iran escalation score (`0-100`) with severity levels:
- `LOW` (0-30)
- `MEDIUM` (31-60)
- `HIGH` (61-80)
- `CRITICAL` (81-100)
- Trigger automatic Telegram alerts when escalation conditions are met.
- Generate daily 24-hour intelligence briefings.
Default high-priority keywords include:
- حمله
- موشک
- تحریم
- غنی سازی
- اعتراض
- زن زندگی آزادی
- هسته ای
## Invocation
Use any of the following command patterns:
- `run persian radar`
- `scan iran tweets`
- `monitor iran signals`
Programmatic entrypoint:
```python
from skills.persian_x_radar.agent import run_radar
result = run_radar(
user_id="demo_user",
query="run persian radar",
since_hours=6,
)
```
Typical execution flow:
1. Billing and cooldown check
2. X search and fallback retrieval
3. Filtering and deduplication
4. Translation and per-item alert classification
5. Trending signal detection
6. Escalation scoring
7. Alert dispatch (Telegram/channel hooks)
8. Markdown report generation
9. Optional daily briefing assembly
## Example Output
### Intelligence Table (sample)
| # | Author | Time | Persian | English | Arabic | Chinese | Engagement | Link | Alert |
|---|---|---|---|---|---|---|---|---|---|
| 1 | @user123 | 2h ago | بحث درباره موشک... | Discussion about missiles... | نقاش حول الصواريخ... | 关于导弹的讨论... | 530 likes / 120 RT | https://x.com/... | HIGH |
| 2 | @iran_watch | 3h ago | گزارش هایی از اعتراض... | Reports of protests... | تقارير عن احتجاجات... | 有关抗议的报告... | 180 likes / 42 RT | https://x.com/... | MEDIUM |
### Radar Summary (sample)
- Escalation score: `72 (HIGH)`
- Top signal: `missile discussion spike`
- Trending signals:
1. `موشک` spike detected
2. `اعتراض` volume increase
## Pricing
- Skill ID: `3092da48-a837-4288-94d6-458c6ef0b3e0`
- Price per call: `$0.02`
- Billing provider: SkillPay
Billing behavior:
- Each scan call is billable.
- Cooldown protection avoids duplicate charges within configured window.
- If balance is insufficient, the skill returns a payment link response:
```json
{
"status": "payment_required",
"message": "Insufficient balance to run Persian X Radar.",
"price": 0.02,
"payment_link": "https://skillpay.me/pay/..."
}
```
## Use Cases
- Real-time monitoring of missile, nuclear, sanctions, or protest narratives.
- Editorial intelligence support for breaking Iran-related developments.
- Geopolitical risk escalation tracking for operations/security teams.
- Multilingual situational awareness for non-Persian analysts.
- Daily strategic briefing generation from rolling social signal history.
## Configuration
Primary configuration file:
- `skills/persian_x_radar/config.yaml`
Key sections:
- `monitoring`
- `default_since_hours`
- `heartbeat_minutes`
- `keywords`
- `accounts`
- `thresholds`
- `min_faves`
- `min_retweets`
- `translation`
- `languages` (`en`, `ar`, `zh`)
- `trending`
- `spike_threshold`
- `min_volume`
- `keywords`
- `alerts`
- channel and engagement thresholds
- `telegram`
- `enabled`
- `bot_token`
- `chat_id`
- `billing`
- `skill_id`
- `price_per_call`
- `charge_cooldown_minutes`
Common customization commands:
- Add keyword: `add keyword "سپاه"`
- Monitor account: `monitor account @BBCPersian`
- Change thresholds: `change alert threshold retweets > 200`
This skill is suitable for deployment in AI skill marketplaces and agent orchestration platforms requiring deterministic billing, structured outputs, and operational alerting.