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.
npx skills add Day1Labs/OpenAva --skill article-insightsgit clone --depth 1 https://github.com/Day1Labs/OpenAvaWrote 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/day1labs/openava/article-insights)<a href="https://agentmods.dev/skills/day1labs/openava/article-insights"><img src="https://agentmods.dev/badge/skills/day1labs/openava/article-insights/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/day1labs/openava/article-insights"><img src="https://agentmods.dev/badge/skills/day1labs/openava/article-insights.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 | $0.00032 | $0.00944 |
| Opus 5.5 | $0.00013 | $0.00378 |
| Sonnet 5.5 | $0.00006 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
article-insights 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Insights
Use this skill when the user asks things like:
- Summarize this article, essay, report, or post.
- Extract the core arguments from this PDF or URL.
- Turn this content into a mind map.
- Give me the key takeaways and next actions.
- Pull the best quotes and translate them when needed.
This is a structured reading and synthesis skill for long-form content. It is optimized for article analysis, not casual copy editing.
Primary Goals
- Normalize source content into Markdown before analysis.
- Extract core arguments, logical structure, key takeaways, and representative quotes.
- Adapt emphasis based on the user's requested topics, audience, and depth.
- Produce clear output in the user's requested language, with natural explanation instead of mechanical translation.
Supported Inputs
Handle these source forms when the content is available in chat or can be obtained with tools:
- URL or webpage content
- PDF file path or extracted PDF text
- Markdown documents
- Plain long-form text
If the source is not yet accessible, obtain the content first instead of guessing.
Working Rules
- Convert the source into a clean Markdown working copy before deep analysis.
- Read the full content before summarizing when the material is reasonably sized.
- Give extra weight to any user-provided
focus_topics. - Adjust tone and level of explanation to the requested
audience. - Follow the user's requested output language. If the user does not specify one, prefer the language used in the request.
- When the source language differs from the output language, explain the ideas naturally while keeping important original terms, concepts, and named entities when helpful.
- For quotes, include the original sentence and provide a translation when the user requests it or when cross-language reading would clearly help.
Output Modes
Select the mode from output_style. Default to bullets.
1. tldr
- Write one compact summary of about 150 to 200 words or the equivalent concise length for the output language.
- Focus on the article's main claim, why it matters, and the final conclusion.
What ships with it
1 file 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 · 111 lines · 32 tokens per session scan A 7a69029fc788
article-insights is a skill published in the GitHub repository Day1Labs/OpenAva (11 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 944 once invoked, about $0.0001 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 2026-08-31.
article-insights compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| article-insightsDay1Labs/OpenAva | Skill | 11 | 3mo ago | MIT | A | 32 | Claude Code, Codex |
| foundry-hosted-agent-validationmicrosoft/agent-framework | Skill | 15k | today | MIT | A | 82 | Claude Code, Codex |
| doc-readerHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 65 | Claude Code, Codex |
| oma-pdffirst-fluke/oh-my-agent | Skill | 1.4k | yesterday | MIT | A | 33 | Claude Code |
| markdown-converterTeam-Commonly/commonly | Skill | 1.4k | today | Apache-2.0 | A | 57 | Claude Code, Codex |
| pandic-officeTeam-Commonly/commonly | Skill | 1.4k | today | Apache-2.0 | A | 59 | Claude Code, Codex |
| pdfTeam-Commonly/commonly | Skill | 1.4k | today | Apache-2.0 | A | 49 | Claude Code, Codex |