"Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered brief with citations. Use when the task needs recent social evidence, competitor comparisons, launch reactions, trend scans, or person/company profiles."
Resources
2Install
npx skillscat add aisa-team/agent-skills/last30days Install via the SkillsCat registry.
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 — merged into a single ranked brief.
Compatibility
Works with any agentskills.io-compatible
harness, including:
- Claude Code and Claude (Anthropic)
- OpenAI Codex
- Cursor
- Gemini CLI (Google)
- OpenCode, Goose, OpenClaw, Hermes
- and any other harness that implements the Agent Skills specification
Requires Python 3, a POSIX shell, and AISA_API_KEY (get one at
aisa.one).
What Can You Do?
Trend scan
"last30days OpenAI Agents SDK"Competitor comparison
"last30days Claude Code vs Codex"Person / 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 {baseDir}/scripts/run-last30days.sh setup
# 3. Research a topic
bash {baseDir}/scripts/run-last30days.sh "OpenAI Agents SDK"Common Flags
# Low-latency profile (fewer candidates per source)
bash {baseDir}/scripts/run-last30days.sh "$ARGUMENTS" --quick
# Higher-recall profile
bash {baseDir}/scripts/run-last30days.sh "$ARGUMENTS" --deep
# Machine-readable output (full plan + candidates + clusters)
bash {baseDir}/scripts/run-last30days.sh "$ARGUMENTS" --emit=json
# Restrict to specific sources
bash {baseDir}/scripts/run-last30days.sh "$ARGUMENTS" --search=reddit,x,grounding
# Check provider / source availability
bash {baseDir}/scripts/run-last30days.sh --diagnoseInputs and Outputs
Input. A topic, person, company, product, or comparison — e.g.OpenAI Agents SDK, OpenClaw vs Codex, Peter Steinberger.
Output. A markdown brief (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, URLsprovider_runtime— which models + retrieval backends ranerrors_by_source— any source-level failures (fail-soft)
When to use
- You need last-30-days evidence on a person, company, product, market, tool, or trend.
- You want a ranked competitor comparison, launch-reaction summary, creator/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.
- When you only want one official source and don't want social/community signals.
Capabilities
- AISA-powered: planner (structured JSON query plan), reranker
(relevance ordering), fun-scorer (meme/quirk signal), and hosted
retrieval for X, YouTube, TikTok, Instagram, Polymarket, and grounded
Tavily web search. - Public paths (no extra credentials): Reddit, 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 vibesOr set AISA_MODEL=... for a single model across all three roles. Runlast30days 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