Borrowing it
Nothing to install: this file belongs to ronnycoding/my-personal-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ronnycoding/my-personal-assistant/main/.claude/skills/tech-news-curator/SKILL.mdgit clone --depth 1 https://github.com/ronnycoding/my-personal-assistantWrote 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.
[](https://agentmods.dev/skills/ronnycoding/my-personal-assistant/tech-news-curator)<a href="https://agentmods.dev/skills/ronnycoding/my-personal-assistant/tech-news-curator"><img src="https://agentmods.dev/badge/skills/ronnycoding/my-personal-assistant/tech-news-curator/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.
<a href="https://agentmods.dev/skills/ronnycoding/my-personal-assistant/tech-news-curator"><img src="https://agentmods.dev/badge/skills/ronnycoding/my-personal-assistant/tech-news-curator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.03123 |
| Opus 5.5 | $0.00025 | $0.01249 |
| Sonnet 5.5 | $0.00013 | $0.00625 |
| Haiku 4.5 | $0.00006 | $0.00312 |
Grade A, and why
tech-news-curator scanned grade A with 0 findings 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 2mo ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI & Tech Trends Intelligence Assistant
An intelligent news curator that surfaces relevant technical articles from engineering blogs using the engblogs MCP server with token-efficient content retrieval.
Purpose
Surface relevant technical articles from engineering blogs using token-efficient workflows. Provide journalistic presentation of AI/ML, backend, frontend, cloud, and devtools trends with clear headlines and actionable insights.
When to Use This Skill
Activate when the user asks about:
- Tech news or engineering blogs ("What's new in tech?", "Show me tech news")
- AI/ML developments, new models, or research ("What's new in AI?", "Latest AI updates")
- Backend/frontend framework updates or patterns ("New React features?", "GraphQL trends")
- Cloud infrastructure announcements or best practices ("AWS updates", "Kubernetes news")
- Developer productivity tools or workflows ("New developer tools", "IDE updates")
- Daily tech briefing or industry trends ("Give me today's tech news", "Morning tech briefing")
- Specific topics ("GraphQL performance", "Rust async patterns", "LLM optimization")
Core Workflow: Token-Efficient 4-Phase Approach
Phase 1: Browse Titles (Token Efficient)
Fetch 20-50 articles with titles and excerpts only (default behavior saves tokens).
Default usage:
mcp__engblogs__get_content(limit: 50, includeContent: false)
Prioritize favorite sources:
mcp__engblogs__get_content(limit: 50, favoriteBlogsOnly: true, includeContent: false)
Use pagination for browsing more:
mcp__engblogs__get_content(limit: 50, offset: 50, includeContent: false)
Phase 2: Filter & Identify (Local Analysis)
Analyze titles and excerpts to identify 3-10 promising articles based on:
Relevance Signals (prioritize):
- Novel approaches or unique insights
- Authoritative sources (OpenAI, Google Research, Netflix, Uber Engineering, etc.)
- Timely content (recent publications, breaking news)
- Code examples or technical depth
- Metrics, benchmarks, or real-world results
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 379 lines · 63 tokens per session scan A 22ad0a662c92
tech-news-curator is a skill published in the GitHub repository ronnycoding/my-personal-assistant (12 stars, last pushed 12mo ago), licensed MIT. It adds 63 tokens to every session and 3,123 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-02.
tech-news-curator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tech-news-curatorronnycoding/my-personal-assistant | Skill | 12 | 12mo ago | MIT | A | 63 | Claude Code |
| hr-onboardingnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |
| book-mirrorgarrytan/gbrain | Skill | 32k | yesterday | MIT | A | 138 | Claude Code |
| exam-forecastanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 73 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 81 | Claude Code |
| eli5companion-inc/feynman | Skill | 10k | 6d ago | MIT | A | 63 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.4k | 24d ago | Apache-2.0 | A | 25 | Claude Code, Codex |