Last30days
/install last30days-aisa-api
last30days 📰
30-day multi-source research brief for autonomous agents. Powered by AIsa.
One API key. Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search — merged into a single ranked brief.
Compatibility
Works with any agentskills.io-compatible harness, including:
- Claude Code and Claude
- OpenAI Codex
- Cursor
- Gemini CLI
- OpenCode, Goose, OpenClaw, Hermes
- and other harnesses that implement the Agent Skills specification
Requires Python 3, a POSIX shell, and AISA_API_KEY (get one at aisa.one).
Example requests
Trend scan
"last30days OpenAI Agents SDK"
Competitor comparison
"last30days Claude Code vs Codex"
Person or company profile
"last30days Peter Steinberger"
Launch reaction
"last30days GPT-5 launch --deep"
Prediction-market angle
"last30days bitcoin price"
Quick start
# 1. Export your AIsa key
export AISA_API_KEY=sk-...
# 2. First-run setup (interactive — picks planner / rerank / fun-scorer models)
bash scripts/run-last30days.sh setup
# 3. Research a topic
bash scripts/run-last30days.sh "OpenAI Agents SDK"
Common flags
# Low-latency profile (fewer candidates per source)
bash scripts/run-last30days.sh "$ARGUMENTS" --quick
# Higher-recall profile
bash scripts/run-last30days.sh "$ARGUMENTS" --deep
# Machine-readable output (full plan + candidates + clusters)
bash scripts/run-last30days.sh "$ARGUMENTS" --emit=json
# Restrict to specific sources
bash scripts/run-last30days.sh "$ARGUMENTS" --search=reddit,x,grounding
# Check provider / source availability
bash scripts/run-last30days.sh --diagnose
Inputs and outputs
Input. A topic, person, company, product, or comparison — for example: OpenAI Agents SDK, OpenClaw vs Codex, or Peter Steinberger.
Output. A markdown brief by default, or JSON with:
query_plan— planner-generated subqueries and source weightsranked_candidates— reranked candidate pool with scoresclusters— semantically grouped findingsitems_by_source— per-source item lists with dates, engagement, and URLsprovider_runtime— which models and retrieval backends ranerrors_by_source— any source-level failures (fail-soft)
When to use
- You need recent evidence from the last 30 days about a person, company, product, market, tool, or trend.
- You want a ranked competitor comparison, launch-reaction summary, creator or community sentiment scan, or shipping update.
- You want a structured JSON brief to feed into another agent.
When not to use
- Timeless reference questions with no recent-evidence requirement.
- Tasks where you only want one official source and do not want social or community signals.
Capabilities
- AISA-powered: planner (structured JSON query plan), reranker (relevance ordering), fun-scorer (meme or quirk signal), and hosted retrieval for X, YouTube, TikTok, Instagram, Polymarket, and grounded Tavily web search.
- Public paths (no extra credentials): Reddit and Hacker News.
- GitHub via the official API when
GH_TOKENorGITHUB_TOKENis set — optional. - Fail-soft: if one source errors or times out, the brief still renders with the others and notes the gap.
Model configuration
The skill makes three LLM calls per run. Each role is independently pinnable via ~/.config/last30days/.env:
LAST30DAYS_PLANNER_MODEL=qwen-flash # fast + reliable JSON
LAST30DAYS_RERANK_MODEL=qwen-plus-2025-12-01 # quality ranking
LAST30DAYS_FUN_MODEL=qwen-flash # cheap vibes
Or set AISA_MODEL=... for a single model across all three roles. Run last30days setup to pick interactively — the picker fetches the live catalog from aisa.one/docs/guides/models.
API reference
last30days calls the following AIsa endpoints directly. See the full API Reference for the complete catalog.
- OpenAI Chat /
createChatCompletion— planner, reranker, fun-scorer - Twitter Advanced Search — X retrieval
- YouTube Search — YouTube retrieval
- Tavily Search — grounded web
- Polymarket Markets — prediction-market retrieval
Reddit and Hacker News use their respective public APIs directly (no AISA proxy required).
Requirements
- Python 3.12+
AISA_API_KEY— required. Get one at aisa.one.GH_TOKEN/GITHUB_TOKEN— optional, enables the GitHub source.
# Pin an interpreter ≥ 3.12
for py in /usr/local/python3.12/bin/python3.12 python3.14 python3.13 python3.12 python3; do
command -v "$py" >/dev/null 2>&1 || continue
"$py" -c 'import sys; raise SystemExit(0 if sys.version_info >= (3, 12) else 1)' || continue
LAST30DAYS_PYTHON="$py"
break
done
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install last30days-aisa-api - 安装完成后,直接呼叫该 Skill 的名称或使用
/last30days-aisa-api触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Last30days 是什么?
Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。
如何安装 Last30days?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install last30days-aisa-api」即可一键安装,无需额外配置。
Last30days 是免费的吗?
是的,Last30days 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Last30days 支持哪些平台?
Last30days 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Last30days?
由 baofeng-tech(@baofeng-tech)开发并维护,当前版本 v1.0.4。