AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill apify-reddit-scrapergit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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/sickn33/agentic-awesome-skills/apify-reddit-scraper)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/apify-reddit-scraper"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-reddit-scraper/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/sickn33/agentic-awesome-skills/apify-reddit-scraper"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-reddit-scraper.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 | $0.00048 | $0.04271 |
| Opus 5.5 | $0.00019 | $0.01708 |
| Sonnet 5.5 | $0.00010 | $0.00854 |
| Haiku 4.5 | $0.00005 | $0.00427 |
Grade A, and why
apify-reddit-scraper 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 yesterday.
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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Scraper
Turn a plain-language Reddit request into one run of harshmaur/reddit-scraper and hand back structured posts, comments, users or communities. One Actor covers search, subreddit listings, permalinks, user profiles and community metadata, so routing is about picking the right input field, not the right Actor.
Disclosure: the Actor this skill routes to is paid (pay per result) and built by the skill author. Links carry no affiliate parameters.
When to Use
- The user wants Reddit posts, comments, subreddits or user profiles as structured data.
- The user wants to monitor a brand, product or competitor on Reddit, or track mentions since a date.
- The user wants every comment from a thread, or the newest posts from one or more subreddits.
- The user lost access to the Reddit API or Reddit RSS feeds and needs the same data without an API key.
Example prompts
Prompts this skill handles:
- "Find every Reddit post from the last 30 days where someone asks for a Notion alternative, and pull the comments."
- "Scrape the newest 200 posts in r/SaaS and r/startups."
- "Give me all comments on this thread: https://www.reddit.com/r/webdev/comments/abc123/..."
- "Track mentions of
LinearandJiraon Reddit since 2026-08-01 and send each hit to my Slack channel." - "What has u/spez posted recently?"
Out of scope (the boundary):
- "Post a reply in r/startups" — this Actor only reads Reddit. Use the Reddit API with the user's own account.
- "Find Reddit threads about the pain of managing invoices" — Reddit search is literal keyword matching, not semantic. Expand the topic into 3–8 short literal keywords first (see Step 1), then run one search per keyword.
Prerequisites
- Apify account (sign up); the free plan covers small runs.
- Authentication via one of:
apify login(OAuth, if using the Apify CLI)APIFY_TOKENenvironment variable- Token from Apify Console → Settings → Integrations
- Apify CLI (
npm install -g apify-cli), or the Apify MCP server (see "Calling the Actor").
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.
- yesterday First seen · 209 lines · 48 tokens per session scan A 40a512668ab7
apify-reddit-scraper is a skill published in the GitHub repository sickn33/agentic-awesome-skills (47,794 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 4,271 once invoked, about $0.0002 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 2026-10-17.
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