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 indranilbanerjee/digital-marketing-pro --skill seo-plangit clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/seo-plan)<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/seo-plan"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/seo-plan/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/indranilbanerjee/digital-marketing-pro/seo-plan"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/seo-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00177 | $0.03699 |
| Opus 5 | $0.00088 | $0.01850 |
| Sonnet 5 | $0.00035 | $0.00740 |
| Haiku 4.5 | $0.00018 | $0.00370 |
Grade A, and why
seo-plan 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 4d 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/digital-marketing-pro:seo-plan
Purpose
Generate a comprehensive SEO strategy with industry-specific templates, competitive analysis, content roadmap, and phased implementation plan. Covers both traditional SEO and AI search readiness.
Dispatcher mode (Confirm-Then-Dispatch)
When invoked on a brand that already has recent specialist outputs in ${CLAUDE_PLUGIN_DATA}/{brand}/seo/, this skill operates as an orchestrator — it reads those outputs as inputs, scores the brand across four pillars, and uses the weakest pillar to drive the lead theme of the plan.
Step D0 — detect fresh outputs (≤ 30 days)
Look under ${CLAUDE_PLUGIN_DATA}/{brand}/seo/ for the latest dated subfolder of each:
| Specialist skill | Output folder |
|---|---|
/digital-marketing-pro:tech-seo-audit |
seo/tech-seo-audit/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:content-decay-scan |
seo/content-decay-scan/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:aeo-audit |
seo/aeo-audit/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:backlink-gap |
seo/backlink-gap/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:gsc-ai-performance |
seo/gsc-ai-performance/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:keyword-cluster |
seo/keyword-cluster/{YYYY-MM-DD}/PLAN.md |
/digital-marketing-pro:seo-drift |
seo/seo-drift/{YYYY-MM-DD}/PLAN.md |
Any folder dated within the last 30 days counts as fresh — its PLAN.md becomes a primary input.
Step D1 — confirm before dispatching missing specialists
If some specialists have no fresh output, do not silently re-run them. Print exactly:
The following specialist outputs are missing or stale (>30 days old):
- tech-seo-audit (last: 2026-05-12 — 23 days old)
- backlink-gap (no run found)
- gsc-ai-performance (no run found)
Running these now will use approximately N MCP credits / API calls.
Run them now in this session? (y / N — default N)
- If
y— dispatch in this order:- Parallel batch 1:
tech-seo-audit,backlink-gap,aeo-audit,gsc-ai-performance(independent) - Sequential after:
content-decay-scan(depends ontech-seo-audit's URL inventory),keyword-cluster(depends onaeo-auditquery set) - Each specialist runs its own budget guard; surface aborts back to the user
- Parallel batch 1:
- If
Nor default — fall through; treat missing pieces as Phase 0 ("Discovery") work in the final plan
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.
- 4d ago First seen · 286 lines · 177 tokens per session scan A 821edf78956c
seo-plan is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (812 stars, last pushed 4d ago), licensed MIT. It adds 177 tokens to every session and 3,699 once invoked, about $0.0009 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 2026-09-07.
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