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 Nimbleway/agent-skills --skill seo-intelgit clone --depth 1 https://github.com/Nimbleway/agent-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/nimbleway/agent-skills/seo-intel)<a href="https://agentmods.dev/skills/nimbleway/agent-skills/seo-intel"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/seo-intel/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/nimbleway/agent-skills/seo-intel"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/seo-intel.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 | $0.00203 | $0.01259 |
| Opus 5 | $0.00102 | $0.00629 |
| Sonnet 5 | $0.00041 | $0.00252 |
| Haiku 4.5 | $0.00020 | $0.00126 |
Grade A, and why
seo-intel 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Intelligence Toolkit
All-in-one SEO intelligence: keyword discovery, rank tracking, technical audits, content gaps, competitor analysis, AI visibility, and GitHub SEO.
User request: $ARGUMENTS
Before running any commands, read references/nimble-playbook.md for Claude Code
constraints (no shell state, no &/wait, sub-agent permissions, communication style).
Tag all nimble CLI calls: nimble --client-source nimble-agent-skills <subcommand>. MCP requests are attributed at the transport level — see references/nimble-playbook.md.
Workflow Router
Detect the user's SEO intent from $ARGUMENTS and route to the appropriate
workflow. If the intent is ambiguous or generic ("help me with SEO"), ask which
workflow to run.
Available Workflows
| Workflow | Triggers | Reference |
|---|---|---|
| Keyword Research | keyword opportunities, topic clusters, difficulty, what to rank for | references/wf-keyword-research.md |
| Rank Tracker | track rankings, keyword positions, ranking delta, position check | references/wf-rank-tracker.md |
| Site Audit | SEO audit, technical SEO, meta tags, schema, crawl for issues, CWV | references/wf-site-audit.md |
| Content Gap | content gap, keyword gap, compare coverage, missing topics | references/wf-content-gap.md |
| Competitor Keywords | competitor keywords, reverse-engineer SEO, competitor title tags | references/wf-competitor-keywords.md |
| AI Visibility | AI visibility, ChatGPT presence, Perplexity, AI Overview, GEO | references/wf-ai-visibility.md |
| GitHub SEO | github seo, repo discoverability, optimize readme, repo audit | references/wf-github-seo.md |
Intent Detection
Map the request to one workflow:
- Keywords / topics / difficulty / clusters / "what to rank for" → Keyword Research
- Rankings / positions / tracking / delta / monitoring → Rank Tracker
- Audit / crawl / technical / meta / schema / links / CWV → Site Audit
- Gap / missing topics / coverage comparison / "what should I write" → Content Gap
- Competitor site crawl / reverse-engineer / on-page at scale → Competitor Keywords
- AI visibility / ChatGPT / Perplexity / AI Overview / GEO → AI Visibility
- GitHub / repo / README / discoverability → GitHub SEO
What ships with it
19 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.
- references/ai-platform-profiles.md 11 KB
- references/ai-visibility-agent-prompt.md 6.2 KB
- references/audit-agent-prompt.md 3.8 KB
- references/content-gap-agent-prompt.md 5.6 KB
- references/github-seo-checks.md 12 KB
- references/keyword-research-agent-prompt.md 2.9 KB
- references/memory-and-distribution.md 22 KB
- references/nimble-playbook.md 36 KB
- references/profile-and-onboarding.md 9.1 KB
- references/seo-audit-checks.md 15 KB
- references/seo-extraction-prompt.md 6.8 KB
- references/serp-query-patterns.md 6.4 KB
- references/wf-ai-visibility.md 20 KB
- references/wf-competitor-keywords.md 19 KB
- references/wf-content-gap.md 18 KB
- references/wf-github-seo.md 16 KB
- references/wf-keyword-research.md 18 KB
- references/wf-rank-tracker.md 15 KB
- references/wf-site-audit.md 15 KB
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 · 124 lines · 203 tokens per session scan A 9d14c16701df
seo-intel is a skill published in the GitHub repository Nimbleway/agent-skills (53 stars, last pushed 14d ago), licensed MIT. It adds 203 tokens to every session and 1,259 once invoked, about $0.0010 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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