CtrlK
BlogDocsLog inGet started
Tessl Logo

last30days

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.

58

Quality

72%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

High

Do not use without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/last30days/SKILL.md
SKILL.md
Quality
Evals
Security

Security

1 high severity finding. You should review these findings carefully before considering using this skill.

High

W007: Insecure credential handling detected in skill instructions.

What this means

The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.

Why it was flagged

The skill explicitly instructs the agent to ask users to paste API keys/tokens and to write them into ~/.config/last30days/.env or include them in setup commands, which requires the LLM to receive and potentially emit secret values verbatim (high exfiltration risk).

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The required runtime workflow runs a web-enabled research engine and then appends/uses fetched outsider-authored content (public web pages plus platform posts/comments like Reddit/X/YouTube/TikTok) that become readable prose in the agent’s context via the engine’s stdout and saved raw file (e.g., Step 1 “Read the ENTIRE output” and Step 2.5 “Append WebSearch Results to Saved Raw File” → subsequent synthesis).

Repository
mvanhorn/last30days-skill
Audited
Security analysis
Snyk

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.