last30days

last30days is a skill for Claude Code from jdrhyne/agent-skills. It costs 86 tokens per session (3,863 once invoked), scanned B, original, MIT.

A research workflow for finding and summarizing discussions from the last 30 days across Reddit, X, and the web. It also prepares prompts that can be copied into tools for topics such as image generation or coding-agent skills.

In plain words
What is it for?
Use it for recent topic research, news, recommendations, community opinions, or current prompting practices, when the required API keys are available.
Why use it?
It helps replace outdated or scattered information with a recent summary of what people are discussing, recommending, or debating.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions Claude Code.

Good fit Use it for recent topic research, news, recommendations, community opinions, or current prompting practices, when the required API keys are available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jdrhyne/agent-skills/last30days
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 jdrhyne/agent-skills --skill last30days
Clone the repo
git clone --depth 1 https://github.com/jdrhyne/agent-skills

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.

agentmods badge for last30days

README.md
[![agentmods](https://agentmods.dev/badge/skills/jdrhyne/agent-skills/last30days/github.svg)](https://agentmods.dev/skills/jdrhyne/agent-skills/last30days)
Your own site
<a href="https://agentmods.dev/skills/jdrhyne/agent-skills/last30days"><img src="https://agentmods.dev/badge/skills/jdrhyne/agent-skills/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.

agentmods 80×15 button for last30days

Your own site · 80×15
<a href="https://agentmods.dev/skills/jdrhyne/agent-skills/last30days"><img src="https://agentmods.dev/badge/skills/jdrhyne/agent-skills/last30days.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,863 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 67
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 78
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 266
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 397
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 79
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Rogue Agent · line 66
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Privilege Escalation · line 78
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
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 $0.00086 $0.03863
Opus 5 $0.00043 $0.01931
Sonnet 5 $0.00017 $0.00773
Haiku 4.5 $0.00009 $0.00386

Measured 13d ago against content hash 322f82c7a3e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

last30days scanned grade B with 1 finding 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 13d ago.

The scan reads SKILL.md. This mod also ships 17 executable files (scripts/last30days.py, scripts/lib/__init__.py, scripts/lib/cache.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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

chmod 600 ~/.config/last30days/.env
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/last30days/SKILL.md · 399 lines

How it starts

The opening of the file, as written. The whole thing — 399 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.

Use cases:

  • Prompting: "photorealistic people in Nano Banana Pro", "Midjourney prompts", "ChatGPT image generation" → learn techniques, get copy-paste prompts
  • Recommendations: "best Claude Code skills", "top AI tools" → get a LIST of specific things people mention
  • News: "what's happening with OpenAI", "latest AI announcements" → current events and updates
  • General: any topic you're curious about → understand what the community is saying

CRITICAL: Parse User Intent

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

  1. TOPIC: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
  2. TARGET TOOL (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
  3. 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

Read the full file on GitHub · 399 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. 13d ago First seen · 399 lines · 86 tokens per session scan B 322f82c7a3e4

Subscribe to this mod's changes

last30days is a skill published in the GitHub repository jdrhyne/agent-skills (241 stars, last pushed 13d ago), licensed MIT. It adds 86 tokens to every session and 3,863 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.