Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill reddit-post-findergit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/reddit-post-finder)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/reddit-post-finder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/reddit-post-finder/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/gooseworks-ai/goose-skills/reddit-post-finder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/reddit-post-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.01343 |
| Opus 5 | $0.00027 | $0.00672 |
| Sonnet 5 | $0.00011 | $0.00269 |
| Haiku 4.5 | $0.00005 | $0.00134 |
Grade A, and why
reddit-post-finder 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If calling the Apify API directly (e.g. via curl), note these **required fields**: How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Post Finder
Scrape Reddit posts and comments using the Apify trudax/reddit-scraper-lite actor.
Quick Start
Requires APIFY_API_TOKEN env var (or --token flag).
# Top posts from r/growthhacking in last week
python3 skills/reddit-post-finder/scripts/search_reddit.py \
--subreddit growthhacking --days 7 --sort top --time week
# Hot posts from multiple subreddits
python3 skills/reddit-post-finder/scripts/search_reddit.py \
--subreddit "growthhacking,gtmengineering" --days 7 --sort hot
# Keyword-filtered competitor tracking
python3 skills/reddit-post-finder/scripts/search_reddit.py \
--subreddit LLMDevs \
--keywords "Langfuse,Arize,Langsmith" \
--days 30
# Human-readable summary table
python3 skills/reddit-post-finder/scripts/search_reddit.py \
--subreddit growthhacking --days 7 --output summary
How the Script Works
- Builds full Reddit URLs for each subreddit (e.g.
https://www.reddit.com/r/growthhacking/top/?t=week) - Calls the Apify
trudax/reddit-scraper-liteactor via REST API - Polls until the run completes, then fetches the dataset
- Applies client-side keyword and date filtering
- Sorts by upvotes (descending) and outputs JSON or summary
CLI Reference
| Flag | Default | Description |
|---|---|---|
--subreddit |
required | Subreddit name(s), comma-separated |
--keywords |
none | Keywords to filter (comma-separated, OR logic) |
--days |
30 | Only include posts from the last N days |
--max-posts |
50 | Max posts to scrape per subreddit |
--sort |
top | Sort: hot, top, new, rising |
--time |
week | Time window for top sort: hour, day, week, month, year, all |
--output |
json | Output format: json or summary |
--token |
env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout |
300 | Max seconds to wait for the Apify run |
Tips for Small Subreddits
Small or low-traffic subreddits (e.g. r/gtmengineering) may return zero posts with --sort hot because the hot feed is nearly empty. Use --sort top --time week (or month) instead — this scrapes the top-ranked posts over the time window and reliably returns results.
What ships with it
3 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.
- 9d ago First seen · 140 lines · 54 tokens per session scan A 76e7abd69bba
reddit-post-finder is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 54 tokens to every session and 1,343 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 2026-09-03.
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