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 agentmods add skills/agentcomputerai/torch/redditnpx skills add AgentComputerAI/torch --skill redditgit clone --depth 1 https://github.com/AgentComputerAI/torchWhat 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 | $0.00068 | $0.01951 |
| Opus 5 | $0.00034 | $0.00975 |
| Sonnet 5 | $0.00014 | $0.00390 |
| Haiku 4.5 | $0.00007 | $0.00195 |
Grade A, and why
reddit scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Reddit's old `.json` endpoints are still live and unauthenticated. Any listing page — `/r/<sub>`, `/r/<sub>/top`, `/user/<name>`, `/r/<sub>/comments/<id>`, `/search` — becomes a JSON feed by appending `.json`. Pagination How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit (reddit.com)
Reddit's old .json endpoints are still live and unauthenticated. Any listing page — /r/<sub>, /r/<sub>/top, /user/<name>, /r/<sub>/comments/<id>, /search — becomes a JSON feed by appending .json. Pagination is cursor-based via the after token. The only thing that will get you blocked is using the default python-requests / node-fetch / curl/ User-Agent — set any browser UA and you're fine.
Do not use Puppeteer for Reddit. It's strictly slower and no more capable than a plain fetch.
Detection
| Signal | Value |
|---|---|
| CDN | Fastly (x-served-by: cache-...) |
| Framework | React SPA for HTML, but .json endpoints are the canonical data source |
| Anti-bot | User-Agent filter only — blocks default library UAs with HTTP 429 "Too Many Requests" |
| Auth required | No (for public subs) |
| Rate limit | ~60 req/min unauthenticated per IP; be polite with 1–2s between requests |
| robots.txt | Disallows most crawlers except Googlebot, but .json endpoints work fine |
Architecture
https://www.reddit.com/r/<sub>.json?limit=100&after=<token>returns aListingwrapper.data.childrenis an array of{ kind: 't3', data: { ... } }for posts (t3),t1for comments.data.afteris the next-page cursor (null when exhausted).data.beforefor previous.- Max
limitis 100 per request. Listings cap at ~1000 items total (~10 pages) regardless of how far you paginate — this is a hard Reddit limit, not a scraper bug. - Sort variants:
/r/<sub>/hot.json,/top.json?t=week,/new.json,/rising.json,/controversial.json.
Strategy used
Phase 0 only. curl https://www.reddit.com/r/programming.json -A "Mozilla/..." returns the full JSON listing. Skipped Phases 1–2 entirely. No browser, no stealth, no proxy.
Stealth config that works
const UA = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0 Safari/537.36';
await fetch(url, { headers: { 'User-Agent': UA, 'Accept': 'application/json' } });
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 · 135 lines · 68 tokens per session scan A 067e18c4f1e6
reddit is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 1,951 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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