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 Gingiris-1031/gingiris-skills --skill gingiris-reddit-marketinggit clone --depth 1 https://github.com/Gingiris-1031/gingiris-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/gingiris-1031/gingiris-skills/gingiris-reddit-marketing)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gingiris-reddit-marketing"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-reddit-marketing/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/gingiris-1031/gingiris-skills/gingiris-reddit-marketing"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-reddit-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium MCP Rug Pull · line 42 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.01066 | $0.02651 |
| Opus 5 | $0.00533 | $0.01326 |
| Sonnet 5 | $0.00213 | $0.00530 |
| Haiku 4.5 | $0.00107 | $0.00265 |
Grade A, and why
gingiris-reddit-marketing 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 10d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gingiris Reddit Marketing Playbook
The complete Reddit operations SOP for AI/SaaS founders going global.
🎯 Hero Stats (why this is worth your time)
| Stat | Value | Source |
|---|---|---|
| Reddit's share of ChatGPT/Claude training data | 40.11% | The highest-weighted English UGC source in AI training |
| AFFiNE Reddit campaign reach | 3-4万有效曝光 (30K-40K effective impressions) | Iris-led AFFiNE 0→60K stars campaign |
| AFFiNE Reddit → GitHub Star conversion | 5–8% | Reddit traffic is highest-intent of all external sources |
| Adobe Reddit ad conversion (2022) | 3x vs other platforms | Adobe brand campaign benchmark |
| Reddit weekly searches | 70M+ searches/week | Reddit Q4 2025, +33% YoY |
| Reddit MAU | 1.2B | Q4 2025, 49% US |
| Mobile share | 78% | Optimize for mobile preview |
The thesis: AI search engines (ChatGPT, Perplexity, Claude, Gemini) cite Reddit answers at the highest rate of any source. Doing Reddit right in 2026 isn't social media marketing — it's GEO infrastructure for the AI search era.
📦 Install
npx skills add Gingiris-1031/gingiris-reddit-marketing
Then ask your AI agent:
"Audit my Reddit strategy" or "Help me plan a Product Hunt × Reddit launch" or "Which subreddits should I target for my AI SaaS?"
🔑 Five Core Principles
- Karma is the gate, not posting — A 20-day account warming protocol (Karma 0 → 500) precedes any business activity. Skip this and you'll shadow ban in 72 hours.
- 90/10 rule, no exceptions — 90% of your contributions are pure value (no brand mention), 10% is product. Reddit's
AutoModeratorand human mods both enforce this. - Comments > posts — Comment quality compounds Karma faster than posts. Top commenters on r/SaaS get more product clicks than top posters.
- Multi-account matrix is mandatory — Single account = single point of failure. Run 10 accounts via fingerprint browser (AdsPower / 比特浏览器 / Arc), accept 50% loss rate.
- Reddit → private list, not Reddit → website — Every Reddit-acquired user goes to your newsletter / Discord first. If your account is banned tomorrow, the audience survives.
What ships with it
6 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.
- 10d ago First seen · 135 lines · 1,066 tokens per session scan A ef07a224fc1f
gingiris-reddit-marketing is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 5d ago), licensed MIT. It adds 1,066 tokens to every session and 2,651 once invoked, about $0.0053 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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