last30days

Other

Research the last 30 days across Reddit, X/Twitter, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and web search. Use when: you need recent social research, company updates, person profiles, competitor comparisons, launch reactions, or trend scans. Supports AISA-powered planning, clustering, reranking, and JSON output.

Install

openclaw skills install last30days-aisa

last30days

Research recent evidence across social platforms, community forums, prediction markets, GitHub, and grounded web results, then merge everything into one brief.

When to use

Use when you need a last-30-days research brief on a person, company, product, market, tool, or trend.
Use when you want a recent competitor comparison, launch reaction summary, creator/community sentiment scan, or shipping update.
Use when you want structured JSON with query_plan, ranked_candidates, clusters, and items_by_source.

When NOT to use

Do not use for timeless encyclopedia questions with no recent evidence requirement.
Do not use when you need only one official source and do not want social/community signals.

Capabilities

AISA-hosted planning, reranking, synthesis, grounded web search, X/Twitter search, YouTube search, and Polymarket search.
Public Reddit and Hacker News retrieval with fail-soft behavior.
Official GitHub API search when GH_TOKEN or GITHUB_TOKEN is available.
Hosted discovery for TikTok, Instagram, Threads, and Pinterest when enabled in runtime config.

Setup

AISA_API_KEY is the main hosted credential.
GH_TOKEN or GITHUB_TOKEN is optional for GitHub search only.
Python 3.12+ is required.

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

Quick Reference

bash "${SKILL_ROOT}/scripts/run-last30days.sh" "$ARGUMENTS" --emit=compact
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --emit=json
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --quick
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --deep
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --search=reddit,x,grounding
"${LAST30DAYS_PYTHON}" "${SKILL_ROOT}/scripts/last30days.py" --diagnose

Inputs And Outputs

Input: a topic or comparison query such as OpenAI Agents SDK, OpenClaw vs Codex, or Peter Steinberger.
Output: synthesized research plus provider_runtime, query_plan, ranked_candidates, clusters, and items_by_source.

Example Queries

last30days OpenAI Agents SDK
last30days Peter Steinberger
last30days OpenClaw vs Codex
last30days Kanye West --quick