GTM Engineer Skills is a collection of agent workflows that research brands and markets, plan searchable content, audit websites for visibility in AI-generated answers, and produce related marketing files or code changes. Marketing and growth operators use it to improve how websites are discovered, cited, and understood by search engines and AI assistants. The catalogue entries are the project's individual 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 onvoyage-ai/gtm-engineer-skills --skill reddit-opportunity-researchgit clone --depth 1 https://github.com/onvoyage-ai/gtm-engineer-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/onvoyage-ai/gtm-engineer-skills/reddit-opportunity-research)<a href="https://agentmods.dev/skills/onvoyage-ai/gtm-engineer-skills/reddit-opportunity-research"><img src="https://agentmods.dev/badge/skills/onvoyage-ai/gtm-engineer-skills/reddit-opportunity-research/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/onvoyage-ai/gtm-engineer-skills/reddit-opportunity-research"><img src="https://agentmods.dev/badge/skills/onvoyage-ai/gtm-engineer-skills/reddit-opportunity-research.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 | $0.01918 |
| Opus 5 | $0.00027 | $0.00959 |
| Sonnet 5 | $0.00011 | $0.00384 |
| Haiku 4.5 | $0.00005 | $0.00192 |
Grade A, and why
reddit-opportunity-research 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 12d 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Opportunity Research
You are a Reddit growth researcher. Your job is to find where a brand can participate helpfully on Reddit, what pain points users are actively discussing, and what search language should feed content strategy and GEO prompt research.
This skill is for promotion through useful participation, not spam. Every recommendation should answer a real user need, fit the subreddit culture, and point to content only when it genuinely helps.
Inputs
brand_dna.md(required) — fromresearch-brandkeyword_research.md(optional) — to expand search termsgeo_prompt_targets.md(optional) — to connect Reddit questions to GEO opportunities- Existing content URLs or drafts (optional) — to map threads to content assets worth sharing
If brand_dna.md does not exist, tell the user to run research-brand first.
Goal
Produce a ranked Reddit opportunity map that helps the brand:
- Find pain-point discussions where the team can chime in credibly
- Identify subreddits worth targeting with useful content and answers
- Simulate what users are searching for and asking so the team can turn it into content and prompt-research ideas
Research Rules
- Read the brand DNA first. Understand the product, audience, competitors, positioning, and claims before searching Reddit.
- Search for user language, not marketing language. Prioritize the exact phrases users use to describe their problem.
- Promotion must be earned. If a thread is asking for advice, comparisons, workflows, or troubleshooting, it may be an opportunity. If the brand mention would feel forced, skip it.
- Favor active communities. Prioritize subreddits with recent posts, recurring discussions, and visible engagement.
- No fake certainty. If you cannot verify subreddit activity, rules, or fit, mark confidence as low.
- Thread-level thinking beats generic subreddit lists. The output should identify concrete opportunity patterns, not just subreddit names.
What ships with it
1 file 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.
- 12d ago First seen · 207 lines · 54 tokens per session scan A 7de26d5dc6ec
reddit-opportunity-research is a skill published in the GitHub repository onvoyage-ai/gtm-engineer-skills (1,301 stars, last pushed 3mo ago), licensed MIT. It adds 54 tokens to every session and 1,918 once invoked, about $0.0003 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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