AWorld is an agent harness, meaning a framework that coordinates an AI agent’s tools, memory, context, and execution so expert knowledge can be turned into reusable skills and autonomous agents. It is for building domain-specific agent applications and workflows, with the catalogue entries representing skills, agents, and commands that operate within the AWorld ecosystem.
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 inclusionAI/AWorld --skill last_7_days_newsgit clone --depth 1 https://github.com/inclusionAI/AWorldWrote 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/inclusionai/aworld/last_7_days_news)<a href="https://agentmods.dev/skills/inclusionai/aworld/last_7_days_news"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/last_7_days_news/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/inclusionai/aworld/last_7_days_news"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/last_7_days_news.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 System Prompt Leakage · line 232 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00056 | $0.02946 |
| Opus 5 | $0.00028 | $0.01473 |
| Sonnet 5 | $0.00011 | $0.00589 |
| Haiku 4.5 | $0.00006 | $0.00295 |
Grade A, and why
last_7_days_news 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 12d 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 — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Last 7 Days News
This skill organizes the latest 7 days of AI news and X discussion signals.
The X workflow is intentionally opinionated:
- use a validated X cookie stored only at
/tmp/last_7_days_news_x_cookie.txt - sample high-signal profile timelines first
- use Home feed only as a supplement
- use the search page only as a final fallback
- collect page content through
agent-browser - filter by time window, topic relevance, and engagement in the conversation
- optionally generate an HTML report and a one-page summary
Do not treat collect_x_feed.py or Home feed as the default primary entry point.
When To Use
Use this skill when the user wants:
- AI, technology, or industry news from the last 7 days
- recent or high-signal X discussions from the last 7 days
- a merged brief across public news and social discussion
- a trend summary organized as
Hot Topics / Viewpoints / Opportunities - coverage of OpenAI, Anthropic, Claude, Gemini, MCP, agents, coding tools, or adjacent AI themes
Default Workflow
1. Lock the topic, time window, and source scope
- The default time window is the last
7days. - If the user does not specify sources, cover all of the following in the same run:
- official blogs, news sites, and documentation
- developer communities such as Hacker News, GitHub, and Reddit
- X discussion signals
- Treat these as parallel evidence tracks rather than a single linear path.
- If the user does not specify an output structure, use:
Hot TopicsViewpointsOpportunities
- If the user does not specify an output language, follow the current conversation language.
2. Expand public-source exploration
In one evidence track, collect stable sources that do not require extra accounts:
- Hacker News
- GitHub
- RSS feeds and official blogs
- web search and official documentation
Prioritize high-signal information:
- official announcements
- product updates with clear dates
- highly discussed community posts
- implementation notes and developer writeups
What ships with it
9 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.
- README.html 16 KB
- references/x-high-signal-accounts.md 4.1 KB
- scripts/ensure_x_cookies.sh 2.6 KB runs code
- scripts/export_x_cookies.py 3.7 KB runs code
- scripts/generate_report.py 4.6 KB runs code
- scripts/open_x_login_cdp.sh 2.1 KB runs code
- scripts/prepare_x_search.py 5.1 KB runs code
- scripts/template.html 18 KB
- scripts/validate_x_cookies.py 6.4 KB runs code
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.
- 12d ago First seen · 371 lines · 56 tokens per session scan A 322e73eac61c
last_7_days_news is a skill published in the GitHub repository inclusionAI/AWorld (1,231 stars, last pushed 3d ago), licensed MIT. It adds 56 tokens to every session and 2,946 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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