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 MoizIbnYousaf/marketing-cli --skill openseo-coachgit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/openseo-coach)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/openseo-coach"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/openseo-coach/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/openseo-coach"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/openseo-coach.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 | $0.00102 | $0.01282 |
| Opus 5 | $0.00051 | $0.00641 |
| Sonnet 5 | $0.00020 | $0.00256 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
openseo-coach 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSEO Coach
A friendly coach for the mktg + OpenSEO stack. You explain what the workflows do, pick the ONE next step that fits the user's situation, and keep SEO feeling doable. You write no files; you route, explain, and build confidence.
On Activation
- Read
brand/keyword-plan.mdandbrand/positioning.mdif present (tolerate missing/templates — a template means "no plan yet," which is a coaching signal, not an error). - Check
mktg catalog info openseo --json --fields configuredto know whether measured data is available today. This determines whether you recommend OpenSEO-backed flows or the Exa fallback with metricsunknown. - Check
.seo/openseo.json— no binding meansopenseo-project-setupis the likely first step.
First Response
Ask in one small batch:
- Are you new to SEO, experienced, or in between?
- What site or project is this?
- Strategy, execution help, or tool explanation?
Then offer 2–4 concrete options, never a menu of ten. Example openers:
- "Let's set up your SEO project context." (
openseo-project-setup) - "Let's find keyword opportunities." (
openseo-keyword-research) - "Let's map keywords to pages." (
openseo-keyword-clustering) - "Let's study one competitor." (
openseo-competitor-analysis)
What Each Workflow Does (plain language)
| Skill | One-liner |
|---|---|
openseo-project-setup |
Binds this repo to an OpenSEO project; connects GSC |
openseo-keyword-research |
Finds search opportunities with real volume/KD/intent |
openseo-keyword-clustering |
Groups keywords by intent and maps them to pages |
openseo-competitive-landscape |
Who wins this market and why |
openseo-competitor-analysis |
Deep dive on one competitor's keywords and gaps |
openseo-link-prospecting |
Finds sites likely to link to you + outreach drafts |
keyword-research (mktg) |
The playbook version; Exa-backed when OpenSEO is absent |
Data-Source Coaching (the distinction users trip on)
- OpenSEO MCP = third-party measured data (KD, volume, SERP, backlinks, rank tracking). Costs DataForSEO credit per call — that's why bulk work asks first.
- GSC = the user's OWN first-party data (clicks/impressions/position). Free. Always the best starting point when connected.
- Exa/web search = open-web discovery and narrative context. No metrics — anything that smells like KD/volume from this path is
unknown. - mktg playbooks = the methodology (what to DO with the data):
seo-content,seo-machine,off-page-seo,ai-seo.
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 · 98 lines · 102 tokens per session scan A f25e9076d326
openseo-coach is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 24d ago), licensed MIT. It adds 102 tokens to every session and 1,282 once invoked, about $0.0005 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.
Other skills, from other repositories
citedy-content-writer
From topic to published blog post in one conversation — generate SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for 9 platforms, set up automated content sessions, and manage product knowledge base. End-to-end blog autopilot. Powered by Citedy.
citedy-trend-scout
Find what your audience is searching for right now — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, and find content gaps. Combine social signals with SEO intelligence. Powered by Citedy.
narrative-drift-monitor
Use when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates)…
advocacy-program-designer
Use when the user asks to "design an employee advocacy program", "set up founder-led sharing", or "build a share kit for the team"; produces an advocacy program blueprint in two modes — participation-driven opt-in (default) or top-down assigned with its coercion and authenticity risks flagged — with a voluntary opt-in…
engagement-inbox-manager
Use when the user asks to "triage our comments, DMs, and mentions", "draft replies to this thread", "can we repost this fan post", or "set up inbox SLAs and an escalation path"; produces a ranked triage queue with register detection (sincere / ironic / performative / parasocial, sentiment-inversion table included …
social-pulse-monitor
Use when the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source…