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.
npx skills add vigolium/piolium --skill last30daysgit clone --depth 1 https://github.com/vigolium/pioliumWrote 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.
[](https://agentmods.dev/skills/vigolium/piolium/last30days)<a href="https://agentmods.dev/skills/vigolium/piolium/last30days"><img src="https://agentmods.dev/badge/skills/vigolium/piolium/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.
<a href="https://agentmods.dev/skills/vigolium/piolium/last30days"><img src="https://agentmods.dev/badge/skills/vigolium/piolium/last30days.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00056 | $0.04304 |
| Opus 5 | $0.00028 | $0.02152 |
| Sonnet 5 | $0.00011 | $0.00861 |
| Haiku 4.5 | $0.00006 | $0.00430 |
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.
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.
This is a copy
86% identical to last30days — 207 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.
How it starts
The opening of the file, as written. The whole thing — 445 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.
When to Use
- User wants to know what people are saying about a topic in the last 30 days
- User asks for recent community sentiment, recommendations, or trending discussions
- User wants to research a topic before making a decision (tools, products, techniques)
- User asks "what's new with X" or "best Y" or "what are people saying about Z"
When NOT to Use
- User wants historical data older than 30 days
- User needs official documentation or API references (use docs tools instead)
- User wants to search a specific codebase (use code search tools)
- User asks a factual question that doesn't need community sentiment
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
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 · 445 lines · 56 tokens per session scan A d1631d582dfd
last30days is a skill published in the GitHub repository vigolium/piolium (133 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 4,304 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to last30days, differing in 207 lines, and is treated as a copy.
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