Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ranjanrishikesh/taketomarket/plugin install taketomarketWrote 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/ranjanrishikesh/taketomarket/ttm-seo)<a href="https://agentmods.dev/skills/ranjanrishikesh/taketomarket/ttm-seo"><img src="https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-seo/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/ranjanrishikesh/taketomarket/ttm-seo"><img src="https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-seo.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 | $0.00043 | $0.00705 |
| Opus 5.5 | $0.00017 | $0.00282 |
| Sonnet 5.5 | $0.00009 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
ttm-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ttm-seo
Step 0: First-run inline education
Read .taketomarket/CONFIG.md. Parse first_run_seen (object) and inline_education (boolean, default true).
If inline_education is false: skip this step. Else if first_run_seen.ttm-seo is not true, print the explainer below verbatim, then mark this skill as seen:
node "${CLAUDE_PLUGIN_ROOT}/bin/ttm-tools.cjs" first-run mark ttm-seo
Use this exact check (bash) to decide whether to print: node "${CLAUDE_PLUGIN_ROOT}/bin/ttm-tools.cjs" first-run check ttm-seo --raw -- the JSON seen field is true once the explainer has run before.
Explainer for /ttm-seo
/ttm-seo is the unified SEO + AEO toolkit. Subcommands: audit
runs a URL or sitemap through technical and content checks;
keyword-map generates a topic cluster with intent tags;
aeo measures your citation status across Google AI Overviews,
ChatGPT search, and Perplexity for a target query.
Why it matters: SEO and Answer Engine Optimization (AEO) share most fundamentals -- structured content, clear claims, citation-worthy formatting -- but diverge on a few signals. Treating them as one toolkit with three modes prevents the trap of optimizing for Google in a way that breaks AEO citation.
(Canonical source: references/inline-education-blurbs.md. Embedded verbatim because workflows do not @-resolve files at runtime.)
Routes to one of three subcommand workflows based on the first argument.
Usage
/ttm-seo audit <url-or-sitemap> → workflows/discipline/seo/audit.md
/ttm-seo keyword-map [seed-keyword] → workflows/discipline/seo/keyword-map.md
/ttm-seo aeo <query> → workflows/discipline/seo/aeo.md
Workflow
Parse first positional arg:
audit→ read and follow${CLAUDE_PLUGIN_ROOT}/workflows/discipline/seo/audit.mdkeyword-map→ read and follow${CLAUDE_PLUGIN_ROOT}/workflows/discipline/seo/keyword-map.mdaeo→ read and follow${CLAUDE_PLUGIN_ROOT}/workflows/discipline/seo/aeo.md- anything else: print usage and exit.
- After matching a subcommand, strip it from
$ARGUMENTSand forward the remainder to the workflow as the new$ARGUMENTSvalue. Example:/ttm-seo audit https://example.com→ workflow receives$ARGUMENTS=https://example.com.
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.
- 2mo ago First seen · 65 lines · 43 tokens per session scan A 678cd98881c6
ttm-seo is a skill published in the GitHub repository ranjanrishikesh/taketomarket (16 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 705 once invoked, about $0.0002 per session on Opus 5.5. 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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