last-30-days-research

last-30-days-research is a skill for Claude Code from cnfeat/top-pm-skills. It costs 97 tokens per session (1,653 once invoked), scanned A, original, MIT.

A research workflow that searches Reddit, X, and the wider web for recent opinions and discussion about a topic.

In plain words
What is it for?
Use it to investigate sentiment about a product, tool, trend, company, or event within a chosen recent time period.
Why use it?
It helps replace outdated or search-optimised summaries with recurring complaints, areas of agreement, and disagreements from current community conversations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the pm-cross plugin — 7 skills shipped together

Good fit Use it to investigate sentiment about a product, tool, trend, company, or event within a chosen recent time period.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cnfeat/top-pm-skills/last-30-days-research
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 cnfeat/top-pm-skills --skill last-30-days-research
Clone the repo
git clone --depth 1 https://github.com/cnfeat/top-pm-skills

Made for: Claude Code.

Or install pm-cross, the plugin that ships this one along with the rest of its 7 skills.

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 last-30-days-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/last-30-days-research/github.svg)](https://agentmods.dev/skills/cnfeat/top-pm-skills/last-30-days-research)
Your own site
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/last-30-days-research"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/last-30-days-research/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 last-30-days-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/last-30-days-research"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/last-30-days-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,653 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 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 $0.00097 $0.01653
Opus 5 $0.00048 $0.00826
Sonnet 5 $0.00019 $0.00331
Haiku 4.5 $0.00010 $0.00165

Measured 9d ago against content hash 4e5de44cd818, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

last-30-days-research 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.

参考skill/pm-claude-skills-main/pm-claude-skills-main/plugins/pm-cross/skills/last-30-days-research/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Last 30 Days Research

The Problem

Googling gives SEO-stuffed "best of" lists written six months ago by someone who has never used the thing. Real honest takes live on Reddit threads, X replies, and niche communities — but chasing them across platforms eats your afternoon. This skill does the chase for you.

Required Inputs

Input Required Notes
Topic Yes Tool, trend, feature, product, event, company — anything with a name
Date scope No Defaults to last 30 days. Can override to last 7 days or last 90 days
Angle No e.g. "focus on developer sentiment" or "looking for pricing complaints specifically"

Output Structure

The output is a structured research report with the following sections, delivered in this exact order:

## Last 30 Days Research: [Topic]
Research window: [Date 30 days ago] → [Today's date]

---

## What People Agree On
[Consensus points that appear across multiple platforms — most reliable signal]

## Where People Disagree
[Active debates, contrasting views — include which side has more weight]

## Pain Points That Keep Coming Up
[Recurring complaints and frustrations — strongest signal of real problems]

## Positive Signals
[What people genuinely praise — not PR, but unprompted appreciation]

## Most Interesting Takes
[Contrarian, unexpected, or surprisingly insightful comments worth noting]

## Sources
[Links to the most useful threads/posts found — 5–10 links with brief labels]

## Signal Confidence
[High / Medium / Low — with a one-line rationale based on data volume and consistency]

Each section should contain substantive content, not placeholders. If a section has no findings (e.g. no positive signals found), state that explicitly rather than leaving it empty or fabricating content.

Instructions for Claude

Step 1 — Calculate the date window

Determine today's date and subtract 30 days to get the research start date. Format: YYYY-MM-DD. Use these dates explicitly in every search query.

Read the full file on GitHub · 159 lines

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. 9d ago First seen · 159 lines · 97 tokens per session scan A 4e5de44cd818

Subscribe to this mod's changes

last-30-days-research is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 1,653 once invoked, about $0.0005 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 2026-09-03.

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