chore: bump version to 3.4.0 (#605)
Releases the Digg first-run NUX (#590) and crowd-vote weighting in the fun judge (#592). Both merged at the 3.3.2 version, so auto-update never distinguished them — this minor bump makes the update clean for everyone. Bumps pyproject, plugin.json, marketplace.json, gemini-extension.json, and SKILL.md (frontmatter + display header + cache-path examples); converts CHANGELOG [Unreleased] to [3.4.0]. Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
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Matt Van Horn
@@ -11,7 +11,7 @@
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{
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"name": "last30days",
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"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.",
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"version": "3.3.2",
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"version": "3.4.0",
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"author": {
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"name": "Matt Van Horn",
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"url": "https://github.com/mvanhorn"
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@@ -1,6 +1,6 @@
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{
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"name": "last30days",
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"version": "3.3.2",
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"version": "3.4.0",
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"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.",
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"author": {
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"name": "Matt Van Horn",
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@@ -7,8 +7,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [3.4.0] - 2026-06-18
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### Added
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- **Crowd-vote weighting in the fun judge (Best Takes).** The fun judge now factors how many upvotes/likes each top comment earned. Comment vote counts are fed into the LLM prompt (as traction, not funniness), and Best-Takes selection ranks by an effective score — `fun_score` plus a bounded, per-platform-normalized, relevance-confidence-scaled crowd nudge — so genuinely funny, crowd-loved, on-topic comments surface while off-topic virality and high-voted-but-unfunny rants are excluded. `FUN_LEVEL=medium` stays the default and applies the signal as a meaningful factor ([#592](https://github.com/mvanhorn/last30days-skill/pull/592)).
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- **Digg added to first-run setup.** The free, keyless `digg-pp-cli` is now auto-installed during the first-run wizard (best-effort via the Printing Press installer, with a recommend-only fallback), so the already-built Digg AI-news source activates automatically for new users instead of silently never appearing ([#590](https://github.com/mvanhorn/last30days-skill/pull/590)).
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- **`LAST30DAYS_YOUTUBE_SSH_HOST` transcript routing** — yt-dlp transcript fetch runs on the remote SSH host via a mktemp + cat pipeline ([#422](https://github.com/mvanhorn/last30days-skill/pull/422)).
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- Browser-cookie auth for X/Twitter now covers the full Chromium family on macOS - Brave, Microsoft Edge, Vivaldi, Opera, Arc, and Chromium - alongside the existing Chrome, Firefox, and Safari. They all share Chrome's v10 AES-128-CBC decryption, differing only in profile path and Keychain service name, so they run through one shared decryption core. The profile finder probes both the modern `Default/Network/Cookies` layout (Chromium >= 96) and the legacy flat `Default/Cookies`, and Chrome now resolves through that same finder so it picks up the modern layout too. Set `FROM_BROWSER=auto` to try every browser, or `FROM_BROWSER=<name>` (e.g. `brave`, `edge`, `arc`) to target one. Verified end-to-end on real Brave and Edge installs ([#572](https://github.com/mvanhorn/last30days-skill/pull/572)).
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- **First-party positioning research + pitch-vs-pulse synthesis (company / product / service topics).** A new mandatory research step captures each entity's current stated positioning from first-party sources (homepage, docs, pricing) rather than from memory. The fetched pitch grounds `What it is` descriptions (entities described as they pitch themselves today), helps reject unrelated brand-name noise, and feeds an evidence-triggered prose beat: when the month's conversation directly supports a specific claim, cuts against one, or is squarely about the pitched ground, the synthesis says so anchored to the top thread — and stays silent when the pulse is orthogonal to the pitch, because a manufactured connection is worse than omission. Claims are tested at matched altitude (specific claims against specific threads; broad taglines are never graded against individual items), and statements stay windowed to the 30 days — no trend verdicts. Scoped to entities with an identifiable first party: people are always excluded (even founders whose companies qualify), as are events, abstract concepts, and ownerless topics like Bitcoin; the beat requires positioning fetched during the run, never from memory.
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@@ -1,6 +1,6 @@
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{
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"name": "last30days-skill",
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"version": "3.3.2",
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"version": "3.4.0",
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"description": "Research a topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web.",
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"settings": [
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{
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+1
-1
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[project]
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name = "last30days-skill"
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version = "3.3.2"
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version = "3.4.0"
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description = "Multi-source last-30-days research skill"
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readme = "README.md"
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requires-python = ">=3.12"
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---
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name: last30days
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version: "3.3.2"
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version: "3.4.0"
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description: "Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web."
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argument-hint: 'last30days nvidia earnings reaction | last30days AI video tools | last30days what users want in react'
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allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
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@@ -244,7 +244,7 @@ If your Bash call to `last30days.py` does NOT include the FULL pre-flight checkl
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---
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# last30days v3.3.2: Research Any Topic from the Last 30 Days
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# last30days v3.4.0: Research Any Topic from the Last 30 Days
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> **Permissions overview:** Reads public web/platform data and optionally saves research briefings to `LAST30DAYS_MEMORY_DIR` (defaults to `~/Documents/Last30Days`). X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). All credential usage and data writes are documented in the [Security & Permissions](#security--permissions) section.
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@@ -662,8 +662,8 @@ When the user asks "X vs Y" (or "X vs Y vs Z"), the engine fans out N full `pipe
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# the Read tool result. Examples:
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# Read ~/.claude/skills/last30days/SKILL.md → SKILL_DIR=$HOME/.claude/skills/last30days
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# Read ~/.codex/skills/last30days/SKILL.md → SKILL_DIR=$HOME/.codex/skills/last30days
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# Read ~/.claude/plugins/cache/last30days-skill/last30days/3.3.2/skills/last30days/SKILL.md
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# → SKILL_DIR=$HOME/.claude/plugins/cache/last30days-skill/last30days/3.3.2/skills/last30days
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# Read ~/.claude/plugins/cache/last30days-skill/last30days/3.4.0/skills/last30days/SKILL.md
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# → SKILL_DIR=$HOME/.claude/plugins/cache/last30days-skill/last30days/3.4.0/skills/last30days
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# scripts/last30days.py is always a direct child of SKILL_DIR (every install layout
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# packages SKILL.md and scripts/ as siblings).
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SKILL_DIR="<absolute path of the directory containing the SKILL.md you Read>"
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@@ -1002,8 +1002,8 @@ Store your plan as `QUERY_PLAN_JSON` - you'll pass it to the script in the next
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# the Read tool result. Examples:
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# Read ~/.claude/skills/last30days/SKILL.md → SKILL_DIR=$HOME/.claude/skills/last30days
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# Read ~/.codex/skills/last30days/SKILL.md → SKILL_DIR=$HOME/.codex/skills/last30days
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# Read ~/.claude/plugins/cache/last30days-skill/last30days/3.3.2/skills/last30days/SKILL.md
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# → SKILL_DIR=$HOME/.claude/plugins/cache/last30days-skill/last30days/3.3.2/skills/last30days
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# Read ~/.claude/plugins/cache/last30days-skill/last30days/3.4.0/skills/last30days/SKILL.md
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# → SKILL_DIR=$HOME/.claude/plugins/cache/last30days-skill/last30days/3.4.0/skills/last30days
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# scripts/last30days.py is always a direct child of SKILL_DIR (every install layout
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# packages SKILL.md and scripts/ as siblings).
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SKILL_DIR="<absolute path of the directory containing the SKILL.md you Read>"
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