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/last30days

@f3cd06a
by Matt Van Hornmvanhorn/last30days-skill65k stars
5,650
Run it yourself

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. Includes a doctor health check to diagnose broken or missing sources.

Use this Skill: https://skilld.dev/gh/mvanhorn/last30days-skill/last30days

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

referencesagent-mode.md

≈574 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Agent mode

Read when --agent appears in skill arguments or the user explicitly requests machine-readable JSON. This mode never grants browser-cookie consent. Skip interactive questions only when doing so is compatible with the root's consent requirements; use the cookie-free path when consent is absent.

Agent Mode (--agent flag)

If --agent appears in ARGUMENTS (e.g., /last30days plaud granola --agent):

  1. Skip the intro display block ("I'll research X across Reddit...")
  2. Skip any AskUserQuestion calls - use TARGET_TOOL = "unknown" if not specified
  3. Run the research script and WebSearch exactly as normal
  4. Skip the "WAIT FOR USER RESPONSE" pause
  5. Skip the follow-up invitation ("I'm now an expert on X...")
  6. Output the complete research report and stop - do not wait for further input

When the resolved directory is nonempty, agent mode saves raw research data to LAST30DAYS_MEMORY_DIR (defaults to ~/Documents/Last30Days) automatically via --save-dir (handled by the script, no extra tool calls). An empty directory disables these saves and their footer pointer. Use --output <file> only when a caller needs the rendered stdout artifact at an exact path, with the format controlled by --emit.

Machine-readable JSON exception: If the user explicitly asks for structured JSON for an agent, script, or workflow, replace the normal --emit=compact engine invocation with --emit=json and pass the engine's stdout through verbatim instead of synthesizing the report format below. The default --json-profile=agent is the stable, versioned flat contract; use --json-profile=raw only when the user explicitly requests the full internal Report dump. --preflight --emit=json is a separate permission-preflight contract and is not affected by --json-profile. Full field documentation and the versioning policy live in docs/reference/json-export.md in the repository.

Agent mode report format:

## Research Report: {TOPIC}
Generated: {date} | Sources: Reddit, X, Bluesky, YouTube, TikTok, HN, Polymarket, Web

### Key Findings
[3-5 bullet points, highest-signal insights with citations]

### What I learned
{The full "What I learned" synthesis from normal output}

### Stats
{The standard stats block}

Source: SKILL.md on GitHub

Skill behaviors

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

Third-party checks

1 alerttoday5 checks · Risk SAFE
  • Gen Agent Trust Hubtoday

    This skill is a robust research tool that integrates with multiple social and web sources. It includes strong security posture by using delimiters for untrusted content, enforcing user consent for sensitive actions like cookie extraction, and providing clear documentation of its network and filesystem activities. Automated security alerts regarding remote code execution and prompt injection were investigated and found to be benign user guidance and standard agent behavioral constraints.

  • Sockettoday

    5 alerts: gptAnomaly, gptSecurity

  • Snyktoday

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    304/604 files flagged

  • ZeroLeaks6mo

    Scan incomplete

Provenance

Signed by skilld at f3cd06a. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 days ago

Capability

What it can do
Runs commands Reads files Edits files Network
version
3.30.0
homepage
https://github.com/mvanhorn/last30days-skill
repository
https://github.com/mvanhorn/last30days-skill
All 5 allowed tools
BashReadWriteAskUserQuestionWebSearch
Other metadata
argument-hint
last30days nvidia earnings reaction | last30days AI video tools | last30days what users want in react
author
mvanhorn
user-invocable
true
metadata
{
  "openclaw": {
    "emoji": "📰",
    "requires": {
      "env": [],
      "optionalEnv": [
        "SCRAPECREATORS_API_KEY",
        "OPENAI_API_KEY",
        "XAI_API_KEY",
        "X_BEARER_TOKEN",
        "OPENROUTER_API_KEY",
        "PERPLEXITY_API_KEY",
        "PARALLEL_API_KEY",
        "BRAVE_API_KEY",
        "APIFY_API_TOKEN",
        "AUTH_TOKEN",
        "CT0",
        "BSKY_HANDLE",
        "BSKY_APP_PASSWORD",
        "TRUTHSOCIAL_TOKEN",
        "XIAOHONGSHU_API_BASE"
      ],
      "bins": [
        "node",
        "python3"
      ]
    },
    "primaryEnv": "SCRAPECREATORS_API_KEY",
    "files": [
      "scripts/*",
      "references/*"
    ],
    "homepage": "https://github.com/mvanhorn/last30days-skill",
    "tags": [
      "research",
      "deep-research",
      "reddit",
      "x",
      "twitter",
      "youtube",
      "tiktok",
      "instagram",
      "linkedin",
      "hackernews",
      "devto",
      "polymarket",
      "digg",
      "bluesky",
      "truthsocial",
      "xiaohongshu",
      "rednote",
      "trends",
      "recency",
      "news",
      "citations",
      "multi-source",
      "social-media",
      "analysis",
      "web-search",
      "hiring-signals",
      "ai-skill",
      "clawhub"
    ]
  }
}

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