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-source-aggregatorgit 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-source-aggregator)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-source-aggregator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-source-aggregator/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-source-aggregator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-source-aggregator.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 | $0.00467 |
| Opus 5 | $0.00000 | $0.00234 |
| Sonnet 5 | $0.00000 | $0.00093 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
content-source-aggregator scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Python 3.10+, curl What it actually says
content-source-aggregator
统一信息源热点采集器——从 16+ 平台采集热门内容,生成结构化热点池
使用场景
- 每日多平台热点自动采集(微博/知乎/头条/抖音/B站/GitHub/YouTube/Twitter/Reddit/HackerNews 等)
- 内容管线上游数据源,为 content-factory 提供原始热点
- 海外源自动走代理(Clash),国内源直连
使用方法
# 采集所有平台
python ~/clawd/skills/content-source-aggregator/scripts/fetch_all.py
# 只采集指定平台
python fetch_all.py --source github
python fetch_all.py --source hackernews
# Dry run(只打印不保存)
python fetch_all.py --dry-run
支持平台(16+)
| 分类 | 平台 |
|---|---|
| 国内社交 | 微博、知乎、头条、抖音 |
| 国内社区 | B站、LinuxDo、小红书 |
| 海外社交 | Twitter/X、Reddit、YouTube |
| 开发者 | GitHub Trending、HackerNews、ArXiv、ProductHunt |
| 微信生态 | 微信公众号(搜狗)、微信视频号(无 API) |
配置要求
- Python 3.10+, curl
- 代理(海外源):
CONTENT_PROXY环境变量(默认http://127.0.0.1:7897) - Cookie 文件(可选):
~/.playwright-data/linuxdo/cookies.txt、xiaohongshu/cookies.txt等 - 配置文件:
scripts/config.json(账号列表、subreddit、频道 ID、优先级等) - 输出目录:
~/clawd/workspace/content-pipeline/hotpool/
相关文件
scripts/fetch_all.py— 采集主脚本scripts/config.json— 平台配置(账号、优先级等)~/clawd/workspace/content-pipeline/hotpool/— 热点池输出
What ships with it
1 file 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.
- 4d ago First seen · 42 lines · 0 tokens per session scan A aee65dbc21c4
content-source-aggregator is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 467 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
Other skills, from other repositories
deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
guidance
Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
aigon-next
Suggest the most likely next workflow action based on current context.
review-deep
Drive the deep-review phase of an automated PR review. Consumes the walkthrough, runs the deterministic deep-review workflow (parallel lenses → adversarial validation → code-enforced threshold/caps), drafts the surviving findings, and completes the review run.