Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-clinpx agentmods add skills/moizibnyousaf/marketing-cli/keyword-researchWrote 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/moizibnyousaf/marketing-cli/keyword-research)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/keyword-research"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/keyword-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/moizibnyousaf/marketing-cli/keyword-research"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/keyword-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 | $0.00134 | $0.04304 |
| Opus 5 | $0.00067 | $0.02152 |
| Sonnet 5 | $0.00027 | $0.00861 |
| Haiku 4.5 | $0.00013 | $0.00430 |
Grade A, and why
keyword-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 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 — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.
On Activation
- Check if
brand/directory exists in the project root. - If it does, read available files:
voice-profile.md,positioning.md,audience.md,creative-kit.md,stack.md,learnings.md. - Apply any loaded brand context to enhance output quality.
- If
brand/does not exist, proceed without it — this skill works standalone.
Note: Examples below use fictional brands (Acme, Lumi, Helm). Replace with your own brand context.
Backend Selection
Prefer measured KD/volume/CPC/intent/SERP/GSC via openseo-keyword-research when OpenSEO is configured; otherwise Exa-stack validation with metrics marked unknown. Full contract: skills/openseo/references/backend-contract.md.
/keyword-research -- Data-Backed Keyword Strategy
Most keyword research is backwards. People start with tools, get overwhelmed by data, and end up with a spreadsheet they never use.
This skill starts with strategy. What does your business need? Who are you trying to reach? What would make them find you? Then it validates with live search data and builds a content plan that actually makes sense.
No expensive tools required. Systematic thinking plus web search.
Reads: positioning.md, audience.md, competitors.md, learnings.md
Writes: brand/keyword-plan.md, campaigns/content-plan/*.md
Iteration Detection
Before starting, check whether ./brand/keyword-plan.md already exists.
If keyword-plan.md EXISTS --> Refresh Mode
Do not start from scratch. Instead:
- Read the existing plan.
- Present a summary of the current keyword strategy:
EXISTING KEYWORD PLAN (last updated {date}) Pillars: {Pillar 1} {N} clusters {priority} · {Pillar 2} {N} {priority} · {Pillar 3} {N} {priority} Top keywords: {kw1} {priority} · {kw2} {priority} · {kw3} {priority} Content briefs: {N} created, {N} published What would you like to do? ① Refresh with new SERP data ② Add a new topic area ③ Re-prioritize clusters ④ Full rebuild from scratch ⑤ Generate briefs for top keywords
What ships with it
2 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 · 470 lines · 134 tokens per session scan A b80556784d04
keyword-research is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 23d ago), licensed MIT. It adds 134 tokens to every session and 4,304 once invoked, about $0.0007 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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