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last30days

Name: last30days
Author: sickn33

Risque faible 🌐 Accès réseau🔑 Variables d’environnement

Research trending topics from the last 30 days

Stay current with fast-moving AI trends without drowning in noise. This skill surfaces what people are actually upvoting and discussing right now, then writes copy-paste prompts tailored to your target tool.

Prend en charge: Claude Codex Code(CC)

🥈 80 Argent

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Tester

Utilisation de "last30days". Research Midjourney v6 prompting techniques

Résultat attendu:

Top 5 prompting patterns emerged: (1) multi-shot style references, (2) camera angle keywords, (3) lighting descriptors, (4) aspect ratio tuning, (5) style raw mode. Most upvoted posts emphasize concrete visual anchors over abstract descriptions. Sample prompt structure provided.

Utilisation de "last30days". Best Claude Code skills for git workflows

Résultat attendu:

Most mentioned: /commit (5x), git-worktree skill (3x), /pr creation (3x). The Remotion integration announcement received 16K likes. Key pattern: skills under 500 lines get more adoption. Three specific workflows identified with code examples.

Audit de sécurité

Risque faible

v1 • 2/25/2026

Static analyzer detected 484 pattern matches, but 480+ are false positives from markdown documentation (backtick code blocks misidentified as shell execution) and test fixtures. The skill legitimately accesses user-configured API keys (OPENAI_API_KEY, XAI_API_KEY) from ~/.config/last30days/.env and makes HTTP requests to Reddit/X APIs for research. No malicious intent detected. Risk limited to expected behavior for an API-based research tool.

Fichiers analysés

7,074

Lignes analysées

résultats

Total des audits

Problèmes à risque faible (2)

scripts/lib/env.py:41-46

Environment Variable Access

Skill reads OPENAI_API_KEY and XAI_API_KEY from user config file ~/.config/last30days/.env and environment variables. This is expected behavior for API-based tools but requires user awareness.

scripts/lib/http.py:145 scripts/lib/openai_reddit.py:78

External HTTP Requests

Skill makes HTTP requests to Reddit API, X API, and general web search endpoints. All destinations are documented (reddit.com, x.ai, openai.com) and requests use standard libraries with proper error handling.

Facteurs de risque

🌐 Accès réseau (5)

scripts/lib/http.py:145 scripts/lib/models.py:82 scripts/lib/openai_reddit.py:78 scripts/lib/xai_x.py:59 scripts/lib/reddit_enrich.py:46

🔑 Variables d’environnement (3)

scripts/lib/env.py:41-46 scripts/last30days.py:78 scripts/last30days.py:141

Audité par: claude

Score de qualité

Architecture

100

Maintenabilité

Contenu

Communauté

Sécurité

Conformité aux spécifications

Ce que vous pouvez construire

Prompt Engineering Research

Research the latest prompting techniques for specific AI tools by analyzing what the community shares and upvotes

Product Recommendation Discovery

Find specific tools and products people recommend, ranked by engagement signals rather than SEO

Trend Monitoring

Track what is currently being discussed in fast-moving domains like AI tools, viral content, or news

Essayez ces prompts

Basic Topic Research

Research the best [topic] from the last 30 days and summarize what people are recommending

Tool-Specific Prompt Research

Research [topic] techniques for [target tool] and write copy-paste prompts I can use

Comparative Product Analysis

Find discussions comparing [product A] vs [product B] from the last 30 days on Reddit and X

Deep Dive with All Sources

Do comprehensive research on [topic] using Reddit, X, and web sources. Include engagement metrics and identify patterns across all three sources

Bonnes pratiques

Specify both topic and target tool for most relevant prompt recommendations
Review the engagement metrics to identify community-validated insights
Use the --deep flag for comprehensive research on important topics

Éviter

Do not expect historical data beyond the 30-day window
Do not use for topics with minimal online discussion
Do not skip reviewing the raw sources before acting on recommendations

Foire aux questions

Do I need API keys to use this skill?

No. The skill works with WebSearch fallback when no keys are configured. However, adding OPENAI_API_KEY unlocks Reddit data with real upvotes and comments, while XAI_API_KEY unlocks X posts with likes and reposts.

How does the skill enforce the 30-day window?

The skill passes date constraints to API searches and applies hard date filtering as a safety net. Items with verified dates outside the range are excluded from results.

Can I cache results to avoid repeated API calls?

Yes. Results are automatically cached for 24 hours keyed by topic and date range. Use the --refresh flag to bypass cache and fetch fresh data.

What if my topic has little recent discussion?

The skill will show a limited data warning and include older evergreen content. It is honest about sparse results rather than fabricating findings.

Can other skills use the research output?

Yes. Output files are written to ~/.local/share/last30days/out/ and can be imported via --emit=context or --emit=json for programmatic use in other skills.

Is my research topic sent to external APIs?

Yes. Your topic query is sent to OpenAI and xAI APIs for research. Do not include sensitive information in research topics.