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 ZensInk/zens-ink-seo-package --skill reddit-keywordsgit clone --depth 1 https://github.com/ZensInk/zens-ink-seo-packageWrote 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/zensink/zens-ink-seo-package/reddit-keywords)<a href="https://agentmods.dev/skills/zensink/zens-ink-seo-package/reddit-keywords"><img src="https://agentmods.dev/badge/skills/zensink/zens-ink-seo-package/reddit-keywords/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/zensink/zens-ink-seo-package/reddit-keywords"><img src="https://agentmods.dev/badge/skills/zensink/zens-ink-seo-package/reddit-keywords.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 | $0.00081 | $0.00601 |
| Opus 5.5 | $0.00032 | $0.00240 |
| Sonnet 5.5 | $0.00016 | $0.00120 |
| Haiku 4.5 | $0.00008 | $0.00060 |
Grade A, and why
reddit-keywords 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 2d 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.
What it actually says
Reddit blue-ocean keyword mining
Reddit is a demand signal Google lags behind. This tool finds "reddit " autocomplete demand, discovers the subreddits, and flags high-traffic low-competition threads worth answering with real content.
When to use
- "Find blue ocean keywords for my niche"
- "What are people asking on Reddit about X?"
- Validating a content idea against real community demand.
When NOT to use
- The user wants to post/spam Reddit — this is research, not promotion.
- B2B enterprise topics with zero Reddit presence — the tool will find nothing, correctly.
Setup
pip install zens-ink
No key needed for the autocomplete demand layer. Direct Reddit API access is often blocked (403) from datacenter IPs; the tool auto-falls-back to the autocomplete demand layer when that happens.
Commands
python3 -m zens_ink.reddit_blueocean "ai video generator"
python3 -m zens_ink.reddit_blueocean "note taking app" --subreddits r/Productivity,r/productivity
python3 -m zens_ink.reddit_blueocean "ai 写作工具" --lang zh
python3 -m zens_ink.reddit_blueocean "crm" --niche "small business owners" --json
How to read the results
- High demand + thin Google competition = blue ocean: write the definitive answer, the thread is proof people are looking.
- Questions repeated across subreddits = evergreen demand, not one thread's spike.
- A thread ranking itself in Google for the query = Google could not find a better page. That is the loudest possible signal.
Respect the community: answer threads genuinely if participating; the play here is building the page they linking to, not link spam.
Next steps
- Candidate topics →
keyword-difficultyfor the go/no-go, thensearch-intentfor page type.
Going deeper
ZensInk Pro's Content Radar folds community demand into the editorial calendar automatically: https://zens.ink/pricing/
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.
- 2d ago First seen · 75 lines · 81 tokens per session scan A b778ff91a715
reddit-keywords is a skill published in the GitHub repository ZensInk/zens-ink-seo-package (53 stars, last pushed 3d ago), licensed MIT. It adds 81 tokens to every session and 601 once invoked, about $0.0003 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 2026-10-15.
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