Install
$ agentstack add skill-agencia-conversion-agentic-seo-skills-page-report ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Page Report
Use this skill whenever an Agentic SEO workflow generates a report page for the Web Companion. It is a shared contract, not a standalone SEO module.
When To Use
Use page-report from report-producing skills and runtime code when creating or reviewing report.md for Technical SEO, Internal Links, SEO Analysis, Keyword Research, SERP Extract, Backlink Analysis, Topic Cluster, E-E-A-T, or Competitive Analysis.
Do not use this skill for public content drafts, approval handoffs, inline chat answers, raw provider captures, or authorial Brain updates that are not report pages.
Critical Points
- The canonical report path is
project/analyses///report.md. - The report is the editable human presentation layer. Raw evidence, normalized YAML/JSON, logs, and operational artifacts stay in
sources/,audits/,keywords/,clusters/,eeat/, orworkbench/. - Frontmatter must include
title,slug,report_type,generated_at,status,source_artifact, andsummary; includescoreonly when the module has a real score. - Do not write
#in the Markdown body. The Companion renders the title from frontmatter. - Use the project language from
project/.agentic-seo/project.json.languageunless a command has an explicit language override. Complete copy is required forpt-BRanden. - New visual fences must be YAML with
version: 1:agentic-kpis,agentic-chart, andagentic-table. JSON fences are legacy read compatibility only. - Tables must use stable lower-snake ASCII
keyvalues. User-facinglabelvalues may be translated or edited without changing keys. - Calculation tables must mark columns with
role: weight,role: points, androle: lossso score recalculation survives label edits. - Each report-producing module has
skills//contract.yamlandtemplates/analyses//report-skeleton.md; keep required H2 sections and table keys from the skeleton. - Before declaring a manual report done, run
npm run validate:reports -- --module= --slug=or usescripts/lib/report-writer.mjs, which refuses invalid reports before writing. - Never paste raw provider JSON, object arrays,
[object Object], internal IDs, or snake_case evidence into the visual body. Convert evidence into natural language and readable tables. - Format numbers per the project language. The canonical source is
shared/locale.mjs(getProjectLanguage,formatNumber,formatPercent,canonicalKeyword). Skills either ship locale-formatted strings inagentic-table/agentic-kpiscells, or leave numbers raw for the Companion (useI18n().formatNumber/formatPercent) to format on render. Percent-bearing columns use the_pctkey suffix on the 0..100 scale. - Always return
report_mdandbrowser_prompt: { recommended: true, message: "Posso abrir o Web Companion para você ver a análise?", open_with: "project-browser" }. - Register the generated report in
project/brain/log.mdastype: decisionunless a more specific log type is required.
Framework
1. Build The Source Artifact
Write the module's authoritative machine-readable artifact first. It may be YAML or JSON, but it must remain outside project/analyses/ and be referenced by frontmatter source_artifact.
2. Render The Human Page
Start with an executive reading. Then add module-specific sections, visual blocks, and human-readable appendices. Keep technical depth, but translate it into prose, friendly labels, and compact evidence.
3. Validate The Contract
Before returning the result, verify: canonical path, frontmatter, no H1 body title, no HTML default, YAML visual fences, no raw JSON/object dumps, readable evidence, source separation, and log entry.
4. Review The Result
For QA, generate one report per module with fixtures/offline data. A report is satisfactory only when it scores at least 4/5 for clarity, evidence separation, visual usefulness, actionability, and localization, with no category below 3/5.
Output Format
The report Markdown must have this shape:
````markdown --- title: "Human report title" slug: "stable-run-slug" reporttype: "technical-seo" generatedat: "2026-05-23T00:00:00.000Z" status: "ready" source_artifact: "audits/example/report.yaml" summary: "One-sentence executive summary." score: "92" ---
Executive summary prose without a duplicate H1.
```agentic-kpis version: 1 items:
- label: Score
value: 92/100
````
Use only supported `report_type` values: `technical-seo`, `internal-links`, `seo-analysis`, `keyword-research`, `serp-extract`, `backlink-analysis`, `topic-cluster`, `eeat`, and `competitive-analysis`.
## Done Criteria
- `report.md` exists under the canonical module path and is returned as `report_md`.
- `source_artifact` points to the normalized technical source.
- The Companion can list, open, edit, save, and roundtrip the page.
- Visual fences parse as YAML `version: 1`.
- No visible JSON/object dumps or duplicated title appear in the report body.
- The report is registered in `brain/log.md`.
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [agencia-conversion](https://github.com/agencia-conversion)
- **Source:** [agencia-conversion/agentic-seo-skills](https://github.com/agencia-conversion/agentic-seo-skills)
- **License:** MIT
- **Homepage:** https://github.com/agencia-conversion/seo-brain
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.