A research skill for investigating a topic discussed during the past 30 days on Reddit, X, and the wider web. It can turn the findings into ready-to-copy prompts for a specified tool.

Use it for recent news, recommendations, general topic research, or prompt-writing research across those online sources.

It helps separate recent discussion and recommendations from older information, while matching the research to the user's intended task and tool.

last30days — Skill for Claude Code by AlekseiUL

Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/last30days/github.svg)](https://agentmods.dev/skills/alekseiul/sprut-agent-kit/last30days)

Your own site

<a href="https://agentmods.dev/skills/alekseiul/sprut-agent-kit/last30days"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alekseiul/sprut-agent-kit/last30days"><img src="https://agentmods.dev/badge/skills/alekseiul/sprut-agent-kit/last30days.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,212 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.

Origin 89% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.04212
Opus 5	$0.00018	$0.02106
Sonnet 5	$0.00007	$0.00842
Haiku 4.5	$0.00004	$0.00421

Measured 9d ago against content hash 45872e30c1df, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 9d ago.

The scan reads SKILL.md. This mod also ships 28 executable files (scripts/last30days.py, scripts/lib/__init__.py, scripts/lib/bird_x.py, …), 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.

Origin

This is a copy

89% identical to last30days — 110 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/last30days/SKILL.md · 426 lines

How it starts

The opening of the file, as written. The whole thing — 426 lines — stays where its author put it; the contents beside it link to each section on GitHub.

last30days: Research Any Topic from the Last 30 Days

Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now.

CRITICAL: Parse User Intent

Before doing anything, parse the user's input for:

TOPIC: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
TARGET TOOL (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
QUERY TYPE: What kind of research they want:
- PROMPTING - "X prompts", "prompting for X", "X best practices" → User wants to learn techniques and get copy-paste prompts
- RECOMMENDATIONS - "best X", "top X", "what X should I use", "recommended X" → User wants a LIST of specific things
- NEWS - "what's happening with X", "X news", "latest on X" → User wants current events/updates
- GENERAL - anything else → User wants broad understanding of the topic

Common patterns:

[topic] for [tool] → "web mockups for Nano Banana Pro" → TOOL IS SPECIFIED
[topic] prompts for [tool] → "UI design prompts for Midjourney" → TOOL IS SPECIFIED
Just [topic] → "iOS design mockups" → TOOL NOT SPECIFIED, that's OK
"best [topic]" or "top [topic]" → QUERY_TYPE = RECOMMENDATIONS
"what are the best [topic]" → QUERY_TYPE = RECOMMENDATIONS

IMPORTANT: Do NOT ask about target tool before research.

If tool is specified in the query, use it
If tool is NOT specified, run research first, then ask AFTER showing results

Store these variables:

TOPIC = [extracted topic]
TARGET_TOOL = [extracted tool, or "unknown" if not specified]
QUERY_TYPE = [RECOMMENDATIONS | NEWS | HOW-TO | GENERAL]

DISPLAY your parsing to the user. Before running any tools, output:

I'll research {TOPIC} across Reddit, X, and the web to find what's been discussed in the last 30 days.

Parsed intent:
- TOPIC = {TOPIC}
- TARGET_TOOL = {TARGET_TOOL or "unknown"}
- QUERY_TYPE = {QUERY_TYPE}

Research typically takes 2-8 minutes (niche topics take longer). Starting now.

Read the full file on GitHub · 426 lines

Files

What ships with it

44 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.

9d ago First seen · 426 lines · 37 tokens per session scan A 45872e30c1df

Subscribe to this mod's changes

last30days is a skill published in the GitHub repository AlekseiUL/sprut-agent-kit (63 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 4,212 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to last30days, differing in 110 lines, and is treated as a copy.

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last30days