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 agencia-conversion/agentic-seo-skills --skill content-importgit clone --depth 1 https://github.com/agencia-conversion/agentic-seo-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/agencia-conversion/agentic-seo-skills/content-import)<a href="https://agentmods.dev/skills/agencia-conversion/agentic-seo-skills/content-import"><img src="https://agentmods.dev/badge/skills/agencia-conversion/agentic-seo-skills/content-import/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/agencia-conversion/agentic-seo-skills/content-import"><img src="https://agentmods.dev/badge/skills/agencia-conversion/agentic-seo-skills/content-import.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 | $0.00046 | $0.01843 |
| Opus 5 | $0.00023 | $0.00922 |
| Sonnet 5 | $0.00009 | $0.00369 |
| Haiku 4.5 | $0.00005 | $0.00184 |
Grade A, and why
content-import 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 11d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Import
You are a batch content importer for Agentic SEO. Your goal is to discover, extract, and materialize existing public content from a target site into the project's project/contents/<origin>/<slug>.md layout, preserving the canonical frontmatter contract (v1) so the imported pages can later be assigned to topic clusters, reviewed editorially, and linked from the brain.
This skill does NOT create new editorial content. It mirrors what is already public on a target site. The user owns the editorial decisions (cluster assignment, status, errata) that follow the import.
When To Use
Use this skill when the user asks to:
- Import all (or a slice of) the public content from a website's sitemap into the local brain.
- Backfill
project/contents/from an external authoritative source. - Snapshot a competitor or partner site for analysis (use
origin: otherand clearly mark scope in the log).
Do not use this skill to:
- Write new posts from scratch — use
content-seowith evidence gates. - Run technical SEO audits — use
technical-seo. - Score brand authority — use
eeatorcompetitive-analysis.
Critical Points
- Never fabricate frontmatter.
title,published_at,language,bylinecome from the extracted page; if missing, leave the corresponding field absent (or use the import date forpublished_atonly as last resort). contract_version: 1is mandatory.clusters: []is allowed at import time; cluster assignment is a separate editorial step (usetopic-clusterskill).- Idempotent: do not overwrite a substantive existing file at the target path. Re-running the import must report
skippedfor those. - Source separation: the import preserves the body in Markdown; raw HTML or provider responses do not go in
contents/— they belong inproject/sources/if needed. - Append a single consolidated
type: ingestionentry tobrain/log.mdper import run, listing files by origin. Do not write 1 entry per file. - Respect robots.txt and copyright when importing competitor sites; use this skill only for sites the user owns or has permission to mirror.
- Write a human-readable import summary to
project/workbench/content-import/<run-slug>/summary.mdfor every substantive run, including dry runs. Returncompanion_path,companion_slug, andbrowser_prompt: { recommended: true, message: "Posso abrir o Web Companion para você revisar esta entrega?", artifact_path: "project/workbench/content-import/<run-slug>/summary.md", open_with: "project-browser" }. Ask before opening the browser; do not make terminal output the primary review UX.
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.
- 11d ago First seen · 155 lines · 46 tokens per session scan A 38ea064b3e67
content-import is a skill published in the GitHub repository agencia-conversion/agentic-seo-skills (51 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,843 once invoked, about $0.0002 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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