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/treasure-data/td-skillsnpx agentmods add skills/treasure-data/td-skills/seo-analysisWrote 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/treasure-data/td-skills/seo-analysis)<a href="https://agentmods.dev/skills/treasure-data/td-skills/seo-analysis"><img src="https://agentmods.dev/badge/skills/treasure-data/td-skills/seo-analysis/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/treasure-data/td-skills/seo-analysis"><img src="https://agentmods.dev/badge/skills/treasure-data/td-skills/seo-analysis.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 | $0.00065 | $0.02444 |
| Opus 5.5 | $0.00026 | $0.00978 |
| Sonnet 5.5 | $0.00013 | $0.00489 |
| Haiku 4.5 | $0.00006 | $0.00244 |
Grade A, and why
seo-analysis 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO & AEO Analysis
Produce two outputs per analysis: a data dashboard (grid-dashboard YAML) showing the current state, and an action report (markdown) with specific before→after changes. Optionally, generate a redline preview showing all changes applied to the live page.
CRITICAL: Check Tools, Then Create a Task List
Before doing ANY analysis, check which tools are available and create a Task list scoped to those tools.
Step 1: Check tool availability
Verify each tool using the exact commands below and record what is available:
| Tool | Check command | Required? |
|---|---|---|
| Playwright | Bash: playwright-cli --version |
Yes — abort if unavailable |
| GSC | ToolSearch { "query": "select:mcp__tdx-studio__google_search_console_list_sites", "max_results": 1 } |
No — skip GSC-dependent tasks |
| SerpAPI | ToolSearch { "query": "select:mcp__tdx-studio__serpapi_google_search", "max_results": 1 } |
No — skip SERP feature analysis |
| GA4 | ToolSearch { "query": "select:mcp__tdx-studio__google_analytics_list_properties", "max_results": 1 } |
No — skip behavior metrics |
Run all four checks in parallel. If ToolSearch returns a tool_reference, the tool is available. If it returns "No matching deferred tools found", skip that tool's tasks.
If Playwright is not available, stop and tell the user: "Playwright is required for SEO analysis. Please install it first."
Step 2: Identify target page(s) and confirm with user
The analysis is per page. Before creating tasks, determine which page(s) to analyze:
- GSC available: Call
google_search_console_list_sitesto discover sites (auto-select if only one). Then pull page-level performance data to identify candidate pages (high impressions, Quick Win positions, etc.). Present candidates to the user and confirm which page(s) to analyze. - GSC unavailable: Ask the user for the target URL(s) directly.
Step 3: Create Task list based on available tools
What ships with it
8 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/aeo-scoring.md 3.7 KB
- references/bluf-patterns.md 4.3 KB
- references/ctr-scoring.md 1.6 KB
- references/gsc-query-patterns.md 4.6 KB
- references/intent-classification.md 3.9 KB
- references/topical-clustering.md 2.1 KB
- references/zero-click-strategy.md 4.4 KB
- scripts/extract_page_signals.py 21 KB runs code
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 · 170 lines · 65 tokens per session scan A 1737190c7399
seo-analysis is a skill published in the GitHub repository treasure-data/td-skills (22 stars, last pushed 2d ago), licensed Apache-2.0. It adds 65 tokens to every session and 2,444 once invoked, about $0.0003 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.
seo-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| seo-analysistreasure-data/td-skills | Skill | 22 | 2d ago | Apache-2.0 | A | 65 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |