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 aAAaqwq/AGI-Super-Team --skill content-factorygit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/content-factory)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-factory"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-factory/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/aaaaqwq/agi-super-team/content-factory"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00535 |
| Opus 5 | $0.00000 | $0.00267 |
| Sonnet 5 | $0.00000 | $0.00107 |
| Haiku 4.5 | $0.00000 | $0.00053 |
Grade A, and why
content-factory 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 5d 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
content-factory
内容工厂——从热点池批量筛选评分选题，生成内容选题卡片并推送
使用场景
- 每日内容选题自动筛选（从 10+ 平台热点池中 AI 评分 Top 10）
- 选题卡片格式化推送到 Telegram
- 内容管线核心组件，衔接 content-source-aggregator（上游采集）和内容创作（下游）
使用方法
# 评分今天的热点池（默认 Top 10）
python ~/clawd/skills/content-factory/scripts/topic_scorer.py
# 指定日期 / 数量
python topic_scorer.py --date 2026-03-22 --top 5
# 不推送，只输出
python topic_scorer.py --no-send
# Dry run（不调 LLM，用随机分测试）
python topic_scorer.py --dry-run
# 只评分前 N 条热点
python topic_scorer.py --limit 20
# 推送已评分的选题到 Telegram
python ~/clawd/skills/content-factory/scripts/topic_presenter.py --date 2026-03-22 --top 5
python topic_presenter.py --dry-run
评分维度（权重可配）
| 维度 | 权重 | 说明 |
|---|---|---|
| heat | 0.35 | 热度和讨论量 |
| timeliness | 0.25 | 话题新鲜度 |
| creativity | 0.40 | 创作空间（纯新闻搬运低分） |
配置要求
- Python 3.10+, httpx
- LLM API（DeepSeek 或 ZAI，通过
pass show api/deepseek配置） ~/clawd/scripts/newsbot_send.py（推送依赖）- 热点池目录：
~/clawd/workspace/content-pipeline/hotpool/ - 选题输出目录：
~/clawd/workspace/content-pipeline/topics/
相关文件
scripts/topic_scorer.py— 核心评分脚本scripts/topic_presenter.py— 选题格式化与推送scripts/aggregator/— 内容聚合子模块data/topics/— 历史评分数据data/hotpool/— 历史热点池快照
What ships with it
11 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.
- data/hotpool/2026-03-18.json 85 KB
- data/hotpool/2026-03-19.json 85 KB
- data/hotpool/2026-03-20.json 67 KB
- data/hotpool/2026-03-21.json 87 KB
- data/hotpool/2026-03-22.json 94 KB
- data/topics/2026-03-18.json 122 KB
- data/topics/2026-03-19.json 115 KB
- data/topics/2026-03-20.json 107 KB
- data/topics/2026-03-22.json 132 KB
- scripts/topic_presenter.py 3.9 KB runs code
- scripts/topic_scorer.py 13 KB runs code
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.
- 5d ago First seen · 51 lines · 0 tokens per session scan A e13f4bfe918d
content-factory is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 535 tokens. 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 2026-09-05.
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deslop
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eldar
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memory-worktree
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