seo-orchestrator: Security & Code Review for AI Agents | OpenAgentSkill

Overview

Orchestrates a full SEO + AI-search audit — acquires the site with the bundled scripts (crawl/snapshot), detects platform and vertical, runs the deterministic checks, dispatches the read-only specialist subagents in parallel with a dispatch envelope, merges their findings into a persisted report, and presents the two scores. Invoked by the `audit` and `geo` commands; not called directly.

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seo-orchestrator (Layer 2)

Coordinates the whole audit in three phases: detect → dispatch → synthesize. The scripts are the acquisition layer; the model only judges. Read the compact stdout summaries and the JSON files they name — never paste HTML into the conversation. Nothing is written to the user's project; every artifact lives under ${CLAUDE_PLUGIN_DATA}/runs/<host>/<run-id>/.

1. Detect — one call

Resolve the target and the flags forwarded by the command (--pages, --max, --render, --ua, --vertical, --environment, --feed, --out; default --out "${CLAUDE_PLUGIN_DATA}/runs").
Run the whole deterministic pipeline in one command. audit.mjs acquires the target (it calls crawl.mjs for a URL, snapshot.mjs for --pages 1 or a local path, and skips acquisition entirely when handed a run directory), writes profile.json (platform / framework / cms plugins / hosting / environment / capabilities / write_targets / vertical_hints, plus a vertical guess), runs the checks registry, and calls report.mjs for a first deterministic-only report:

node "${CLAUDE_PLUGIN_ROOT}/scripts/audit.mjs" <url|path> \
  --out "${CLAUDE_PLUGIN_DATA}/runs" --checks deterministic --format json \
  [--pages N] [--max N] [--render static|auto|js] [--ua <preset>] \
  [--vertical <ids>] [--environment production|preview|staging|local] [--feed <path>]

Read only the JSON summary it prints: run_dir, mode, platform, vertical, coverage, tier, scores, findings, checks, report_json, report_md, findings_json, warnings. --render defaults to static here — pass --render auto when the target looks client-rendered. Exit 2 means the target could not be acquired; exit 3 only means a --fail-under / --fail-on-* gate tripped, which is a CI concern, not a failed audit. 3. Read <run_dir>/crawl.json (pages with slug/url/role, templates, sampling, warnings) and <run_dir>/profile.json. 4. Vertical: run seo-vertical-detect over the homepage parsed (<run_dir>/pages/<homepage-slug>.json) plus profile.vertical_hints. The script only guesses — profile.vertical.source is "inferred" unless --vertical was passed. If your reading adds or changes a vertical, re-run the deterministic pass over the same run (no re-crawl) so the conditional checks actually fire:

node "${CLAUDE_PLUGIN_ROOT}/scripts/audit.mjs" <run_dir> --checks deterministic --format json --vertical <ids>

references/routing.md maps vertical → conditional modules (M18 e-commerce, M19 local, M20 hreflang on multilingual). 5. The run now holds <run_dir>/findings.deterministic.json (the deterministic findings the agents must not re-emit) and <run_dir>/checks.json (checks run, errors, needs_api, manual_review, dropped).

2. Dispatch (parallel — one message, four `Agent` calls)

Spawn the four read-only specialists in one message so their verbose intermediate output stays isolated. Each prompt = the envelope block + that agent's module list. Agents never rely on ${…} substitution: pass absolute paths.

ENVELOPE
plugin_root: <absolute ${CLAUDE_PLUGIN_ROOT}>
run_dir: <absolute run dir>
pages: [{slug, url, role}, …]              # <run_dir>/pages/<slug>.json (+ <slug>.html, + <slug>.rendered.html when rendered)
site: robots=<run_dir>/site/robots.json  sitemaps=<run_dir>/site/sitemaps.json  discovery=<run_dir>/site/discovery.json
vertical: {primary: <v>, also: [<v>…], multilingual: <bool>}
platform: <run_dir>/profile.json           # one line: <platform>/<framework>, env=<kind>, head_owner=<…>
platform_cards: [<plugin_root>/references/platforms/<id>.md, …]   # omit when the platform is unknown
modules: [<M-ids for this agent>]
deterministic_findings: <run_dir>/findings.deterministic.json — do not re-emit these ids; add model-judged findings only
return: JSON array only — findings per schema/finding.schema.json, no prose

Agent	Modules
`technical-auditor`	M1, M2 (+M3), M4, M7, M7b (mobile), M7c (headings), M8, M9, M10, M15, M17 — plus M20 (hreflang) when `vertical.multilingual`
`ai-search-geo-specialist`	M6, M11, M12, M14, M21 (AI discovery & agent endpoints, weight 0), M22 (agent-readiness)
`content-eeat-analyst`	M13, M16
`schema-generator`	M5 — plus M18 when `ecommerce` ∈ vertical, M19 when `local-business` ∈ vertical

Subagents have no Write/Edit — the audit can never mutate files. If an agent returns prose around the array, keep only the array.

3. Synthesize

Save each returned array verbatim to <run_dir>/agents/<agent>.json via a Bash heredoc (mkdir -p "<run_dir>/agents" && cat > "<run_dir>/agents/<agent>.json" <<'EOF' … EOF) — into the plugin data dir, never the project. This is the one Bash call outside the node pattern; the mkdir -p / cat > entries in allowed-tools pre-approve it for paths under ${CLAUDE_PLUGIN_DATA}/runs/ (TO-VERIFY in the smoke — a heredoc body containing ;, | or && may still prompt).
node "${CLAUDE_PLUGIN_ROOT}/scripts/report.mjs" <run_dir> --merge "agents/*.json" --lang <en|es> [--vertical <ids>] [--environment <kind>] [--out-md <path>] — re-reads findings.deterministic.json, merges the agent arrays (dedupe by id + normalized location, most severe wins; needs_api / manual_review never override a scored status), drops schema-invalid findings into report.dropped_findings, scores per page and as a site rollup, and rewrites findings.json, report.json, report.md. Pass the same --vertical / --environment you used in step 1. --merge is repeatable and accepts a file, a directory, or a */? glob on the file name only.
Present from report.json (bands/interpretations per references/scoring-model.md):
- Search SEO and AI Visibility — band + score + one-line interpretation, never blended; per-category table for each (value, weight, active).
- Coverage: coverage.mode (full vs deterministic), tier reached, needs_api / manual_review counts.
- Sampling table from crawl.json: templates discovered vs sampled, pages by role, every skip and its reason.
- Platform profile line (platform/framework/plugins, environment; "expected on preview" notes when non-production).
- Top actions sorted by impact ÷ effort: status, evidence, recommendation, fixability (auto/proposed/advisory), expected_impact.
- The absolute report.md path, then offers: /claude-seo-ai:fix <target> (safe AUTO fixes, confirmed per change) and /claude-seo-ai:compare --baseline latest --against <target> after changes.

Degraded mode

If node is missing, or a skills-only install ships no scripts/ directory: say so first. Fall back to WebFetch summaries only; mark every header/status/render/robots-dependent finding needs_api; skip persistence; label the report "prompt-only mode — not comparable to a scripted run". Never present a WebFetch summary as raw HTML or as a measured status/header.

View source ↗

File metadata

name: seo-orchestrator
description: Orchestrates a full SEO + AI-search audit — acquires the site with the bundled scripts (crawl/snapshot), detects platform and vertical, runs the deterministic checks, dispatches the read-only specialist subagents in parallel with a dispatch envelope, merges their findings into a persisted report, and presents the two scores. Invoked by the `audit` and `geo` commands; not called directly.
user-invocable: false
allowed-tools: Read, Grep, Glob, WebFetch, Bash(node "${CLAUDE_PLUGIN_ROOT}/scripts/*"), Bash(mkdir -p "${CLAUDE_PLUGIN_DATA}/runs/*"), Bash(cat > "${CLAUDE_PLUGIN_DATA}/runs/*"), Agent

View original text

---
name: seo-orchestrator
description: Orchestrates a full SEO + AI-search audit — acquires the site with the bundled scripts (crawl/snapshot), detects platform and vertical, runs the deterministic checks, dispatches the read-only specialist subagents in parallel with a dispatch envelope, merges their findings into a persisted report, and presents the two scores. Invoked by the `audit` and `geo` commands; not called directly.
user-invocable: false
allowed-tools: Read, Grep, Glob, WebFetch, Bash(node "${CLAUDE_PLUGIN_ROOT}/scripts/*"), Bash(mkdir -p "${CLAUDE_PLUGIN_DATA}/runs/*"), Bash(cat > "${CLAUDE_PLUGIN_DATA}/runs/*"), Agent
---

# seo-orchestrator (Layer 2)

Coordinates the whole audit in three phases: **detect → dispatch → synthesize**. The scripts are the acquisition layer; the model only judges. Read the compact stdout summaries and the JSON files they name — **never paste HTML into the conversation**. Nothing is written to the user's project; every artifact lives under `${CLAUDE_PLUGIN_DATA}/runs/<host>/<run-id>/`.

## 1. Detect — one call
1. Resolve the target and the flags forwarded by the command (`--pages`, `--max`, `--render`, `--ua`, `--vertical`, `--environment`, `--feed`, `--out`; default `--out "${CLAUDE_PLUGIN_DATA}/runs"`).
2. Run the whole deterministic pipeline **in one command**. `audit.mjs` acquires the target (it calls `crawl.mjs` for a URL, `snapshot.mjs` for `--pages 1` or a local path, and skips acquisition entirely when handed a run directory), writes `profile.json` (platform / framework / cms plugins / hosting / environment / capabilities / write_targets / `vertical_hints`, plus a vertical guess), runs the checks registry, and calls `report.mjs` for a first deterministic-only report:
```bash
node "${CLAUDE_PLUGIN_ROOT}/scripts/audit.mjs" <url|path> \
  --out "${CLAUDE_PLUGIN_DATA}/runs" --checks deterministic --format json \
  [--pages N] [--max N] [--render static|auto|js] [--ua <preset>] \
  [--vertical <ids>] [--environment production|preview|staging|local] [--feed <path>]
```
   Read only the JSON summary it prints: `run_dir`, `mode`, `platform`, `vertical`, `coverage`, `tier`, `scores`, `findings`, `checks`, `report_json`, `report_md`, `findings_json`, `warnings`. `--render` defaults to **static** here — pass `--render auto` when the target looks client-rendered. Exit 2 means the target could not be acquired; exit 3 only means a `--fail-under` / `--fail-on-*` gate tripped, which is a CI concern, not a failed audit.
3. Read `<run_dir>/crawl.json` (pages with `slug`/`url`/`role`, templates, sampling, warnings) and `<run_dir>/profile.json`.
4. Vertical: run **seo-vertical-detect** over the homepage `parsed` (`<run_dir>/pages/<homepage-slug>.json`) plus `profile.vertical_hints`. The script only *guesses* — `profile.vertical.source` is `"inferred"` unless `--vertical` was passed. If your reading adds or changes a vertical, re-run the deterministic pass over the same run (no re-crawl) so the conditional checks actually fire:
```bash
node "${CLAUDE_PLUGIN_ROOT}/scripts/audit.mjs" <run_dir> --checks deterministic --format json --vertical <ids>
```
   `references/routing.md` maps vertical → conditional modules (M18 e-commerce, M19 local, M20 hreflang on `multilingual`).
5. The run now holds `<run_dir>/findings.deterministic.json` (the deterministic findings the agents must not re-emit) and `<run_dir>/checks.json` (checks run, errors, `needs_api`, `manual_review`, dropped).

## 2. Dispatch (parallel — one message, four `Agent` calls)
Spawn the four read-only specialists in **one message** so their verbose intermediate output stays isolated. Each prompt = the envelope block + that agent's module list. Agents never rely on `${…}` substitution: pass absolute paths.

```
ENVELOPE
plugin_root: <absolute ${CLAUDE_PLUGIN_ROOT}>
run_dir: <absolute run dir>
pages: [{slug, url, role}, …]              # <run_dir>/pages/<slug>.json (+ <slug>.html, + <slug>.rendered.html when rendered)
site: robots=<run_dir>/site/robots.json  sitemaps=<run_dir>/site/sitemaps.json  discovery=<run_dir>/site/discovery.json
vertical: {primary: <v>, also: [<v>…], multilingual: <bool>}
platform: <run_dir>/profile.json           # one line: <platform>/<framework>, env=<kind>, head_owner=<…>
platform_cards: [<plugin_root>/references/platforms/<id>.md, …]   # omit when the platform is unknown
modules: [<M-ids for this agent>]
deterministic_findings: <run_dir>/findings.deterministic.json — do not re-emit these ids; add model-judged findings only
return: JSON array only — findings per schema/finding.schema.json, no prose
```

| Agent | Modules |
|---|---|
| `technical-auditor` | M1, M2 (+M3), M4, M7, **M7b** (mobile), **M7c** (headings), M8, M9, M10, M15, M17 — plus **M20** (hreflang) when `vertical.multilingual` |
| `ai-search-geo-specialist` | M6, M11, M12, M14, **M21** (AI discovery & agent endpoints, weight 0), **M22** (agent-readiness) |
| `content-eeat-analyst` | M13, M16 |
| `schema-generator` | M5 — plus **M18** when `ecommerce` ∈ vertical, **M19** when `local-business` ∈ vertical |

Subagents have no Write/Edit — the audit can never mutate files. If an agent returns prose around the array, keep only the array.

## 3. Synthesize
1. Save each returned array verbatim to `<run_dir>/agents/<agent>.json` via a Bash heredoc (`mkdir -p "<run_dir>/agents" && cat > "<run_dir>/agents/<agent>.json" <<'EOF' … EOF`) — into the plugin data dir, never the project. This is the one Bash call outside the `node` pattern; the `mkdir -p` / `cat >` entries in `allowed-tools` pre-approve it for paths under `${CLAUDE_PLUGIN_DATA}/runs/` (TO-VERIFY in the smoke — a heredoc body containing `;`, `|` or `&&` may still prompt).
2. `node "${CLAUDE_PLUGIN_ROOT}/scripts/report.mjs" <run_dir> --merge "agents/*.json" --lang <en|es> [--vertical <ids>] [--environment <kind>] [--out-md <path>]` — re-reads `findings.deterministic.json`, merges the agent arrays (dedupe by id + normalized location, most severe wins; `needs_api` / `manual_review` never override a scored status), drops schema-invalid findings into `report.dropped_findings`, scores per page and as a site rollup, and rewrites `findings.json`, `report.json`, `report.md`. Pass the same `--vertical` / `--environment` you used in step 1. `--merge` is repeatable and accepts a file, a directory, or a `*`/`?` glob on the file name only.
3. Present from `report.json` (bands/interpretations per `references/scoring-model.md`):
   - **Search SEO** and **AI Visibility** — band + score + one-line interpretation, never blended; per-category table for each (value, weight, active).
   - Coverage: `coverage.mode` (full vs deterministic), tier reached, `needs_api` / `manual_review` counts.
   - **Sampling table** from `crawl.json`: templates discovered vs sampled, pages by role, every skip and its reason.
   - Platform profile line (platform/framework/plugins, environment; "expected on preview" notes when non-production).
   - **Top actions** sorted by impact ÷ effort: status, evidence, recommendation, fixability (auto/proposed/advisory), `expected_impact`.
   - The absolute `report.md` path, then offers: `/claude-seo-ai:fix <target>` (safe AUTO fixes, confirmed per change) and `/claude-seo-ai:compare --baseline latest --against <target>` after changes.

## Degraded mode
If `node` is missing, or a skills-only install ships no `scripts/` directory: say so first. Fall back to `WebFetch` summaries only; mark every header/status/render/robots-dependent finding `needs_api`; skip persistence; label the report **"prompt-only mode — not comparable to a scripted run"**. Never present a WebFetch summary as raw HTML or as a measured status/header.

Review the source

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Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 59 GitHub stars
Stars/forks activity: 59 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Source repository: Hainrixz/claude-seo-ai
License: MIT
Version: Unknown
Last GitHub push: Sep 7, 2026
Registry updated: Sep 12, 2026
Instruction path: skills/seo-orchestrator/SKILL.md @ cabd6079dc1a

Version reported in registry metadata; check source releases before relying on it.

Quality

59/100

Promising

Trust

60/100

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      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution",
      "Review status: AI review approval is missing"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 73,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "AI review approval is missing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 59 GitHub stars",
      "Stars/forks activity: 59 stars, 5 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 59,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "15d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use seo-orchestrator in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 68/100 Manual review",
      "Audit: 73/100 Needs review",
      "Safety: 29/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "hainrixz-seo-orchestrator (seo-orchestrator)",
      "install_command": "npx skills add Hainrixz/claude-seo-ai --skill seo-orchestrator",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "hainrixz-seo-orchestrator",
      "task": "Use seo-orchestrator in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/hainrixz-seo-orchestrator",
    "api": "https://www.openagentskill.com/api/agent/skills/hainrixz-seo-orchestrator",
    "audit": "https://www.openagentskill.com/skills/hainrixz-seo-orchestrator/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=hainrixz-seo-orchestrator&task=Use%20seo-orchestrator%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20seo-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20seo-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/hainrixz-seo-orchestrator/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/hainrixz-seo-orchestrator"
  }
}

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Creator: Hainrixz
Source: Hainrixz/claude-seo-ai
Indexed by: OpenAgentSkill community index

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