--- name: last30days-7ff8008309b2 description: 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. license: MIT compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, bash, environment variables AISA_API_KEY and internet access to api.aisa.one. metadata: author: AIsa version: 1.0.0 homepage: https://aisa.one repository: https://github.com/baofeng-tech/agent-skills tags: x,youtube,search,research,market platforms: agentskills.io,agentskill.sh,github primary_env: AISA_API_KEY allowed-tools: Read Bash Grep --- # 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](https://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](https://agentskills.io/specification) Requires Python 3, a POSIX shell, and `AISA_API_KEY` (get one at [aisa.one](https://aisa.one)). ## Example requests ### Trend scan ```text "last30days OpenAI Agents SDK" ``` ### Competitor comparison ```text "last30days Claude Code vs Codex" ``` ### Person or company profile ```text "last30days Peter Steinberger" ``` ### Launch reaction ```text "last30days GPT-5 launch --deep" ``` ### Prediction-market angle ```text "last30days bitcoin price" ``` ## Quick start ```bash # 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 ```bash # 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 weights - `ranked_candidates` — reranked candidate pool with scores - `clusters` — semantically grouped findings - `items_by_source` — per-source item lists with dates, engagement, and URLs - `provider_runtime` — which models and retrieval backends ran - `errors_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_TOKEN` or `GITHUB_TOKEN` is 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`: ```bash 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](https://aisa.one/docs/guides/models). ## API reference last30days calls the following AIsa endpoints directly. See the [full API Reference](https://aisa.one/docs/api-reference) for the complete catalog. - [OpenAI Chat / `createChatCompletion`](https://aisa.one/docs/api-reference/chat/createchatcompletion) — planner, reranker, fun-scorer - [Twitter Advanced Search](https://aisa.one/docs/api-reference/twitter/get_twitter-tweet-advanced-search) — X retrieval - [YouTube Search](https://aisa.one/docs/api-reference/search/get_youtube-search) — YouTube retrieval - [Tavily Search](https://aisa.one/docs/api-reference/search/post_tavily-search) — grounded web - [Polymarket Markets](https://aisa.one/docs/api-reference/prediction-market/get_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](https://aisa.one). - **`GH_TOKEN` / `GITHUB_TOKEN`** — optional, enables the GitHub source. ```bash # 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 ``` --- Source attribution: baofeng-tech Original project: https://github.com/baofeng-tech/agent-skills/blob/6da0a55a3aa88f283251abe4392be1217ccb7b52/last30days/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: baofeng-tech Original project: https://github.com/baofeng-tech/agent-skills/blob/6da0a55a3aa88f283251abe4392be1217ccb7b52/last30days/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Marketing Roles: Content Marketer, Growth Marketer, Influencer Marketer, Market Research Analyst, Social Media Manager Specialties: API, Backend, Design, Frontend, Git, React Tools: GitHub, Aisa_Api_Key Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: daea1b36a47650a95fa06f61323c98c68a1196f11f690d5ce1fc06e74679f1d5