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Page Report

skill-agencia-conversion-agentic-seo-skills-page-report · by agencia-conversion

Shared report-page contract for Agentic SEO modules that render editable, human-first Markdown reports in the Web Companion.

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Install

$ agentstack add skill-agencia-conversion-agentic-seo-skills-page-report

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

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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/, or workbench/.
  • Frontmatter must include title, slug, report_type, generated_at, status, source_artifact, and summary; include score only 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.language unless a command has an explicit language override. Complete copy is required for pt-BR and en.
  • New visual fences must be YAML with version: 1: agentic-kpis, agentic-chart, and agentic-table. JSON fences are legacy read compatibility only.
  • Tables must use stable lower-snake ASCII key values. User-facing label values may be translated or edited without changing keys.
  • Calculation tables must mark columns with role: weight, role: points, and role: loss so score recalculation survives label edits.
  • Each report-producing module has skills//contract.yaml and templates/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 use scripts/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 in agentic-table/agentic-kpis cells, or leave numbers raw for the Companion (useI18n().formatNumber / formatPercent) to format on render. Percent-bearing columns use the _pct key suffix on the 0..100 scale.
  • Always return report_md and browser_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.md as type: decision unless 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.