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last30days

last30days is a skill for Claude Code from AIsa-team/agent-skills. It costs 70 tokens per session (1,668 once invoked), scanned A, original, Apache-2.0.

A skill that researches what has happened around a topic during the last 30 days across social networks, news, GitHub, prediction markets, and other sources. It combines the findings into a ranked brief with citations.

In plain words
What is it for?
Use it for trend scans, competitor comparisons, launch reactions, profiles of people or companies, and recent prediction-market views on a topic.
Why use it?
It reduces the need to search each source separately and helps focus on recent evidence rather than older background information. It requires Python 3, a POSIX shell, and an AIsa API key.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions Claude Code; mentions Codex; built for openclaw.

not rated 24repo yesterday A scan SkillSpector: pass 70 tokens original Apache-2.0

Good fit Use it for trend scans, competitor comparisons, launch reactions, profiles of people or companies, and recent prediction-market views on a topic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aisa-team/agent-skills/last30days
View source ↗ AIsa-team/agent-skills
Install

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.

Any agent
npx skills add AIsa-team/agent-skills --skill last30days
Clone the repo
git clone --depth 1 https://github.com/AIsa-team/agent-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for last30days

README.md
[![agentmods](https://agentmods.dev/badge/skills/aisa-team/agent-skills/last30days/github.svg)](https://agentmods.dev/skills/aisa-team/agent-skills/last30days)
Your own site
<a href="https://agentmods.dev/skills/aisa-team/agent-skills/last30days"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/last30days/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.

agentmods 80×15 button for last30days

Your own site · 80×15
<a href="https://agentmods.dev/skills/aisa-team/agent-skills/last30days"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/last30days.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,668 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.01668
Opus 5 $0.00035 $0.00834
Sonnet 5 $0.00014 $0.00334
Haiku 4.5 $0.00007 $0.00167

Measured 12d ago against content hash 81caac63d9d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

last30days scanned grade A with 0 findings 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 12d ago.

The scan reads SKILL.md. This mod also ships 53 executable files (scripts/briefing.py, scripts/compare.sh, scripts/dev-python.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

search-research/last30days/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 --diagnose

Inputs and Outputs

Input. A topic, person, company, product, or comparison — e.g. OpenAI Agents SDK, OpenClaw vs Codex, Peter Steinberger.

Read the full file on GitHub · 191 lines

Files

What ships with it

54 files 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.

Changes

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.

  1. 12d ago First seen · 191 lines · 70 tokens per session scan A 81caac63d9d3

Subscribe to this mod's changes

last30days is a skill published in the GitHub repository AIsa-team/agent-skills (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 1,668 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Research
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