orkas-ai/orkas/seo-report
- community
Checking that the SKILL.md file is still in the repository.
Install
npx vskill@latest install orkas-ai/orkas/seo-reportSKILL.md
seo-report
Render an audit into the deliverable: a dashboard spec the chat can show inline, and a written action plan. Pure formatting — no network, no scoring (it trusts the audit, opportunity and probe inputs).
When to use
- The diagnose flow has a
seo-tech-auditresult and needs the user-facing report + dashboard. - The diagnose flow has
seo-opportunityand/orgeo-probe --op scoreoutput to include in the same one-run report. - Producing a monitoring snapshot's dashboard from a fresh audit.
When NOT to use
- Scoring or generating findings — that is
seo-tech-audit. - Acquiring page data — that is
seo-crawl.
Preconditions
On a continuation, supplied current-run evidence remains usable context. Finish the pending artifact from it, keeping unsupported findings Estimated, instead of restarting collection merely because the work spans turns.
- A
seo-tech-auditJSON object. Optionally the originatingseo-crawlJSON,seo-opportunityJSON, andgeo-probe --op scoreJSON for extra context. - Python 3.9+ (stdlib only).
How to call
For a bounded end-to-end diagnosis, first run seo-crawl --out so its compact summary supplies representative links, then call this orchestrator once:
It runs root tech/content/schema/GEO/opportunity analysis, audits at most five explicit sample URLs once each, writes multi-summary.json and report.json, and returns the dashboard, action_plan_md, page matrix, and optional CWV failure in one envelope. A failed sample is recorded and not retried. The workspace-relative output directory rejects absolute and parent-traversal paths. Use write_file for the returned action_plan_md.
For report-only assembly from existing inputs:
--auditpath to theseo-tech-auditJSON (omit or-to read stdin).--crawloptionalseo-crawlJSON for context.--opportunitiesoptionalseo-opportunityJSON. Rendered as a one-run Keyword Opportunities section; no trend claims.--geo-probeoptionalgeo-probe --op scoreJSON. Rendered as a one-run GEO Share-of-Voice Snapshot.--planwrite theACTION-PLAN.mdmarkdown here.--outalso write the dashboard JSON here.
Expected output
stdout is an envelope:
The dashboard object is validated against the directive schema before printing (schema_version 1; Stack/Grid/Metric/Chart/Table/Alert/Markdown), so it always renders. On failure: {"ok": false, "error": "..."} on stderr with a non-zero exit. --plan / --out additionally write the plan / dashboard to files.
Rendering note for the agent
- Emit the
dashboardobject once, inside a fenced block:
- Write
action_plan_mdtoACTION-PLAN.md(usewrite_file). Preserve every P0/P1 item's Evidence, concrete action, Leading indicator, and Failure criterion exactly enough to remain testable; do not replace the generated plan with a generic checklist. If tools are unavailable, present these four fields as the required executor contract instead of inventing findings.
- Make a strategy answer usable without opening the artifact. After the
dashboard, inline:
- a compact intent-to-page table for the sampled core pages, with owner URL,
primary question, answer-ready passage/block, evidence or trust block, and recommended matching schema;
- entity-clarity, authoritative-citation, author/reviewer, and visible
updated-date requirements; and
- every P0/P1 item's Evidence, action, Leading indicator, and Failure
criterion. Do not replace these details with only an ACTION-PLAN.md link.
Before strategy cards, print ### Execution sequence with steps numbered 1..N; each step names its owner role, effort band, and validation window. P0 means dependency order, not technical severity. When no Critical/High technical finding exists, lead with intent ownership and first-party proof, and keep polish in P2 and last.
Do not hand-edit the JSON — regenerate via this skill if the audit changes.
For a strategy request, a safety-blocked crawl is an evidence limitation rather than a reason to stop. Do not retry, search, or open an execution plan. Write the evidence-honest Estimated plan to ACTION-PLAN.md, persist the bounded strategy-baseline.json, and deliver the provisional strategy with the missing verification named.
Security
- Security scanPassed, 96 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingresources/builtin/marketplace/agents/e064dca9e1bd/skills/seo-report/SKILL.md
Popularity
- Repository stars
- 2,173
- Repository forks
- 90
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/orkas-ai/orkas/seo-report)