domain-authority-auditor — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited domain-authority-auditor (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Based on CITE Domain Rating. Full benchmark reference: references/cite-domain-rating.md
[SEO & GEO Skills Library](https://github.com/aaron-he-zhu/seo-geo-claude-skills) · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This cross-cutting skill is part of the protocol layer and follows the shared Skill Contract and State Model.
This skill evaluates domain authority across 40 standardized criteria organized in 4 dimensions. It produces a comprehensive audit report with per-item scoring, dimension and weighted scores by domain type, veto item checks, and a prioritized action plan.
Sister skill: content-quality-auditor evaluates content at the page level (80 items). This skill evaluates the domain behind the content (40 items). Together they provide a complete 120-item assessment.
Namespace note: CITE uses C01-C10 for Citation items; CORE-EEAT uses C01-C10 for Contextual Clarity items. In combined 120-item assessments, prefix with the framework name (e.g., CITE-C01 vs CORE-C01) to avoid confusion.
System role: Citation Trust Gate. It decides whether a domain is credible enough to support ranking, citation, and brand authority work.
Use this when domain credibility or citation trustworthiness is in question — even if the user doesn't use audit terminology:
Start with one of these prompts. Finish with a citation-trust verdict and a handoff summary using the repository format in Skill Contract.
Audit domain authority for [domain]
Run a CITE domain audit on [domain] as a [domain type]CITE audit for example.com as an e-commerce site
Score this SaaS domain against the 40-item benchmark: [domain]Compare domain authority: [your domain] vs [competitor 1] vs [competitor 2]Run full 120-item assessment on [domain]: CITE domain audit + CORE-EEAT content audit on [sample pages]Gate verdict: TRUSTED (no critical issues, scores above threshold) / CAUTIOUS (issues found but none critical) / UNTRUSTED (a critical trust issue failed — see "Critical Issue to Fix" in the report). Always state the verdict prominently at the top of the report using plain language, not item IDs.
Expected output: a CITE audit report, a citation-trust verdict, and a short handoff summary ready for memory/audits/domain/.
memory/audits/domain/.memory/hot-cache.md (auto-saved). Authority context to memory/audits/domain/. Results feed into entity-optimizer as authority input for brand's canonical profile.Next Best Skill below once the trust picture is clear.See CONNECTORS.md for tool category placeholders.
Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
With ~~link database + ~~SEO tool + ~~AI monitor + ~~knowledge graph + ~~brand monitor connected: Automatically pull backlink profiles and link quality metrics from ~~link database, domain authority scores and keyword rankings from ~~SEO tool, AI citation data from ~~AI monitor, entity presence from ~~knowledge graph, and brand mention data from ~~brand monitor.
With manual data only: Ask the user to provide:
Proceed with the full 40-item audit using provided data. Note in the output which items could not be fully evaluated due to missing access (e.g., AI citation data, knowledge graph queries, WHOIS history).
When a user requests a domain authority audit:
### Audit Setup
**Domain**: [domain]
**Domain Type**: [auto-detected or user-specified]
**Dimension Weights**: [from domain-type weight table below]
#### Domain-Type Weight Table
> Canonical source: `references/cite-domain-rating.md`. This inline copy is for convenience.
| Dim | Default | Content Publisher | Product & Service | E-commerce | Community & UGC | Tool & Utility | Authority & Institutional |
|-----|:-------:|:-:|:-:|:-:|:-:|:-:|:-:|
| C | 35% | **40%** | 25% | 20% | 35% | 25% | **45%** |
| I | 20% | 15% | **30%** | 20% | 10% | **30%** | 20% |
| T | 25% | 20% | 25% | **35%** | 25% | 25% | 20% |
| E | 20% | 25% | 20% | 25% | **30%** | 20% | 15% |
#### Critical Trust Check (Emergency Brake)
| Check | Status | Action |
|-------|--------|--------|
| Link profile matches real traffic | ✅ Pass / ⚠️ CRITICAL | [If CRITICAL: "Audit backlink profile; disavow toxic links"] |
| Backlink profile is unique to this domain | ✅ Pass / ⚠️ CRITICAL | [If CRITICAL: "Flag as manipulation network; investigate link sources"] |
| No Google penalties or deindexing | ✅ Pass / ⚠️ CRITICAL | [If CRITICAL: "Address penalty first; all other optimization is futile"] |If any critical trust check triggers, flag it prominently at the top of the report using plain language. CITE Score is capped per Runbook §2.
Evaluate each item against the criteria in references/cite-domain-rating.md.
Score each item:
### C — Citation
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| C01 | Referring Domains Volume | Pass/Partial/Fail | [specific observation] |
| C02 | Referring Domains Quality | Pass/Partial/Fail | [specific observation] |
| ... | ... | ... | ... |
| C10 | Link Source Diversity | Pass/Partial/Fail | [specific observation] |
**C Score**: [X]/100
### I — Identity
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| I01 | Knowledge Graph Presence | Pass/Partial/Fail | [specific observation] |
| ... | ... | ... | ... |
**I Score**: [X]/100Same format for Trust and Eminence dimensions.
### T — Trust
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| T01 | Link Profile Naturalness | Pass/Partial/Fail | [specific observation] |
| ... | ... | ... | ... |
**T Score**: [X]/100
### E — Eminence
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| E01 | Organic Search Visibility | Pass/Partial/Fail | [specific observation] |
| ... | ... | ... | ... |
**E Score**: [X]/100Note: Some items require specialized data (C05-C08 AI citation data, I01 knowledge graph queries, T04-T05 IP/profile analysis). Score what is observable; mark unverifiable items as "N/A — requires [data source]" and exclude from dimension average.
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Every auditor-class handoff MUST follow this shape:
status: DONE | DONE_WITH_CONCERNS | BLOCKED | NEEDS_INPUT
objective: "what was audited"
key_findings:
- title: short issue name
severity: veto | high | medium | low
evidence: direct quote or data point
evidence_summary: URLs / data points reviewed
open_loops: blockers or missing inputs
recommended_next_skill: primary next move
# Cap-related fields — AUDITOR-CLASS ONLY
cap_applied: true | false # REQUIRED for auditors
raw_overall_score: <number> # REQUIRED for auditors; score before cap
final_overall_score: <number> # REQUIRED for auditors; score after capDownstream skills consuming handoffs must treat the cap-related fields as optional with documented defaults during the deprecation window. If absent, apply these defaults:
cap_applied: false (assume no cap when field missing)raw_overall_score: <use final_overall_score> (treat as equal)final_overall_score: <use the overall score from the audit, whatever field name>This prevents breakage when an audit produced before the upgrade is consumed by a skill after the upgrade. A consuming skill MUST never error on missing cap fields during the deprecation window. After v7.2.0, fields become required for all auditor-class producers; consumers may then treat absence as a BLOCKED upstream.
Non-auditor skill handoffs follow skill-contract.md §Handoff Summary Format as-is. Cap-related fields do not apply. Non-auditors never emit cap_applied / raw_overall_score / final_overall_score.
How to use this section in Step 4.5: re-read Worked Example 1 below before computing your own cap. Mirror its "Before cap / Veto check / After cap / Handoff" format literally. Walk the decision table (4 rows) to identify which scenario matches your input. Count veto failures across all dimensions (not per-dimension). Apply the cap rule — it is a ceiling, not a floor.
Rule summary: when any veto item fails, cap the affected dimension and the overall score at 60/100. Show raw and capped side by side in the internal report. Set cap_applied: true in handoff.
Veto items:
| Scenario | Affected dimension behavior | Overall score behavior | Handoff status |
|---|---|---|---|
| 0 veto fails | no cap | no cap | cap_applied: false |
| 1 veto fails; raw dim > 60 | min(raw_dim, 60) → capped down to 60 | min(raw_overall, 60) | cap_applied: true |
| 1 veto fails; raw dim ≤ 60 | unchanged (no raise, no lower) | min(raw_overall, 60) | cap_applied: true |
| 2+ veto fails | status: BLOCKED, do NOT emit capped scores | raw_overall_score retained for record | cap_applied: false, reason in open_loops |
Cap target: always the post-penalty final dimension value, never the raw pre-penalty value. If non-veto items already penalized the dimension, compute the post-penalty number first, then apply the veto cap to that.
Before cap:
Dimensions: C=75 O=77 R=80 E=75 Exp=78 Ept=77 A=77 T=85
Sum = 624; raw_overall = 624 / 8 = 78 (exact)
Veto check: T04 failed (affiliate links without disclosure)
After cap:
T dimension: 85 → 60 (capped down because raw > 60)
Overall: 78 → 60 (capped at 60 because any veto forces overall cap)
Handoff:
cap_applied: true
raw_overall_score: 78
final_overall_score: 60
key_findings:
- title: "Missing affiliate disclosure"
severity: veto
evidence: "No disclosure banner; 3 affiliate links detected in body"Before cap:
Dimensions: C=55 O=75 R=88 E=80 Exp=80 Ept=75 A=82 T=85
raw_overall = 77.5
Veto check: C01 failed (clickbait — title doesn't match content)
After cap:
C dimension: 55 → 55 (unchanged; cap is a ceiling, not a floor)
Overall: 77 → 60 (overall still capped because veto present)
Handoff:
cap_applied: true
raw_overall_score: 77
final_overall_score: 60
key_findings:
- title: "Title promises something the page doesn't deliver"
severity: veto
evidence: "Title: '10 Free Tools'; body delivers 3 free tools and 7 paid"Important: the C dimension number in the internal report stays 55. It is NOT raised to 60. The cap is a ceiling only.
Before cap:
Dimensions: C=75 O=77 R=80 E=75 Exp=78 Ept=77 A=77 T=85
Sum = 624; raw_overall = 624 / 8 = 78 (exact)
Veto check: T04 AND R10 both failed
Resolution:
status: BLOCKED
Do NOT compute capped scores.
raw_overall_score retained for record; final_overall_score omitted.
Handoff:
status: BLOCKED
cap_applied: false
raw_overall_score: 78
# final_overall_score intentionally omitted
open_loops:
- "2 veto items failed: T04 (affiliate disclosure) and R10 (data inconsistency)"
- "Multi-veto cap calibration pending v7.3; page requires manual review before re-scoring"
key_findings:
- title: "Missing affiliate disclosure"
severity: veto
evidence: "..."
- title: "Data points contradict each other"
severity: veto
evidence: "..."Why BLOCKED, not "capped at 40": the 40-tier cap number is unvalidated. Blocking forces manual review, which is more honest than publishing an eyeballed number. Calibration trigger: 30+ real multi-veto audits in memory/audits/. Review date: 2026-07-10 via /seo:p2-review.
Note on dimension vs count: the 2+ veto threshold counts total veto failures across all dimensions, not per-dimension. Example 3 shows T04 (Trust dim) + R10 (Referenceability dim) on different dimensions, but T03 + T09 both on the Trust dimension would also trigger BLOCKED. The veto count is dimension-agnostic.
These signals are POSITIVE under stated conditions. Award points, do not deduct. Conditions are explicit — unconditional positive reframes cause false negatives.
| Signal | Treat as positive WHEN | Example flag rule | |
|---|---|---|---|
| Year marker in title/body | Year is within [current_year − 2, current_year] | "2026" in 2026: freshness positive. "2020" in 2026: R-dimension concern, review for staleness — do NOT award freshness | |
| Numbered list ("5 best", "Top 10", "3 steps") | Always | CTR positive, counts toward O-dimension structure | |
| Qualifier ("Open-Source", "Self-Hosted", "Free", "Local-First") | Always | Narrow intent, counts toward E-dimension exclusivity | |
| Short acronym ("SEO", "AI", "CRM", "API") | Always | Never apply length or stop-word filter to these tokens | |
| Homepage brand-first title ("Acme \ | AI Workflow") | The page IS the homepage | Correct pattern; do not flag under C01 |
| Inner-page keyword-first title ("AI Workflow for Teams — Acme") | The page is NOT the homepage | Correct pattern; do not flag under C01 |
If the content is explicitly evergreen or the context contradicts a positive reframe, state the exception in the finding's evidence field. For example:
"Year 2024 appears in title. Content is labeled 'evergreen guide' and aims for 2+ year longevity; the 2024 stamp will date the page unnecessarily. Flagged for R dimension."
The windowed year rule depends on the date at audit time, not a hardcoded year in this file. Evaluate current_year dynamically when applying §3.
Before emitting the handoff, the auditor verifies:
status is one of the 4 enum values (DONE / DONE_WITH_CONCERNS / BLOCKED / NEEDS_INPUT)key_findings is an array (may be empty)title + severity + evidencecap_applied is explicitly set (true or false) — auditor-class requirementraw_overall_score present (auditor-class requirement; may equal final_overall_score)final_overall_score present UNLESS status == BLOCKEDevidence_summary non-emptyrecommended_next_skill presentIf any check fails, force status: BLOCKED with open_loops: ["artifact_gate_failed: <which check>"].
Reliability note: v7.2.0 adds a PostToolUse hook that re-validates this checklist outside the self-check loop, in a clean LLM context. Self-check is first line of defense (~35% reliable); external hook is second line (~85%). Together: ~95%. Until the hook ships, rely on self-check with awareness that it is not robust against the auditor's own output bias.
Before rendering to the user, translate internal language. This respects skill-contract.md §Response Presentation Norms which forbids internal jargon in user output.
cap_applied, raw_overall_score, final_overall_score, gap_type**Overall Score: 60/100** *(capped due to 1 critical issue)*
**Critical issue to fix:**
- Missing affiliate disclosure on your product review
*(search engines and AI engines treat unsigned affiliate content as low-trust)*
**Fix this one item and your score rises to approximately 78.****Status: Cannot score yet** — 2 critical issues need attention first.
1. Missing affiliate disclosure on your product review
2. Data points contradict each other (prices in intro section don't match the comparison table)
Fix these, then rerun the audit for a score.Before rendering the score to the user, check memory/audits/ for any prior audit of the same URL (by target field match). If a prior audit exists AND the new final_overall_score differs from the prior final_overall_score by more than 10 points, AND the prior audit was produced by a Runbook version earlier than the current one, prepend a one-line explainer to the user output.
Version detection logic (process in order):
runbook_version field → compare directlyrunbook_version field entirely → treat as pre-v7.1.0 (this is the common upgrade case — always trigger the explainer)cap_applied: false as a version proxy — it is ambiguous between "old audit" and "new clean audit"Explainer template:
> **Note**: This page scored {prior_score} under an older scoring rule. Under v7.1.0's Critical Issue rule, one trust item now caps the score at {final}. The page content is unchanged — only the scoring rule changed.If no prior audit exists, skip this rule silently. Never invent a prior score.
Why: users whose rerun drops 82 → 60 without explanation file bug reports. The inline note preserves trust by separating "content quality changed" from "rule changed".
If a user explicitly asks for "raw scoring details", "which veto items failed", or "why is my score lower", translate to plain language rather than leak IDs or refuse. The escape hatch means "explain more", not "bypass the translation layer". Provide the underlying mechanism in marketer terms:
Single-veto escape hatch example:
✅ "The most-critical trust dimension on your page was reduced to the minimum because one trust item failed — specifically, affiliate links without a disclosure banner. Once you add the disclosure, the full score is restored."
❌ "T04 failed, raw T=85, capped to 60" (contains veto ID and raw/capped delta)
❌ "I can't share that information" (refuses a legitimate request, damages trust)
For the BLOCKED case (2+ critical issues), the "Required pattern when status is BLOCKED" template above is the only required user-facing pattern. No separate escape hatch is needed — the template itself provides the plain-language explanation.
The open_loops field in the handoff YAML is internal state for downstream skills (content-refresher, seo-content-writer consume it to pick the next fix). It MAY contain raw veto IDs and internal phrasing because the consumer is another skill, not a user.
However, if a user request ever surfaces open_loops to the user directly — for example, "show me all pending issues" or "what's still open on this page" — the surfacing skill MUST translate each open_loops entry to plain language using the Never-say → Always-say mapping below before rendering. The raw open_loops array never reaches a user's screen.
| Internal | User-facing |
|---|---|
| "T04 failed" | "Missing affiliate disclosure" |
| "C01 veto triggered" | "Title doesn't match what the page delivers" |
| "R10 failure" | "Data on the page contradicts itself" |
| "T03 failed" | "HTTPS security is not fully enforced" |
| "T05 failed" | "No published editorial or review policy" |
| "T09 failed" | "Reviews show authenticity concerns" |
| "cap_applied: true" | "capped due to N critical issue(s)" |
| "raw_overall_score: 78" | "your score rises to approximately 78 once this is fixed" |
| "dimension capped at 60" | (never expose; describe the underlying fix instead) |
<!-- runbook-sync end -->
Calculate scores and generate the final report:
## CITE Domain Authority Report
### Overview
- **Domain**: [domain]
- **Domain Type**: [type]
- **Audit Date**: [date]
- **CITE Score**: [score]/100 ([rating])
- **Veto Status**: ✅ No triggers / ⚠️ [item] triggered — Score capped at 39
### Dimension Scores
| Dimension | Score | Rating | Weight | Weighted |
|-----------|-------|--------|--------|----------|
| C — Citation | [X]/100 | [rating] | [X]% | [X] |
| I — Identity | [X]/100 | [rating] | [X]% | [X] |
| T — Trust | [X]/100 | [rating] | [X]% | [X] |
| E — Eminence | [X]/100 | [rating] | [X]% | [X] |
| **CITE Score** | | | | **[X]/100** |
**Score Calculation**: CITE Score = C × [w_C] + I × [w_I] + T × [w_T] + E × [w_E]
**Rating Scale**: 90-100 Excellent | 75-89 Good | 60-74 Medium | 40-59 Low | 0-39 Poor
### Per-Item Scores
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| C01 | Referring Domains Volume | [Pass/Partial/Fail] | [observation] |
| C02 | Referring Domains Quality | [Pass/Partial/Fail] | [observation] |
| ... | ... | ... | ... |
| E10 | Industry Share of Voice | [Pass/Partial/Fail] | [observation] |
### Top 5 Priority Improvements
Sorted by: weight × points lost (highest impact first)
1. **[ID] [Name]** — [specific modification suggestion]
- Current: [Fail/Partial] | Potential gain: [X] weighted points
- Action: [concrete step]
2. **[ID] [Name]** — [specific modification suggestion]
- Current: [Fail/Partial] | Potential gain: [X] weighted points
- Action: [concrete step]
3–5. [Same format]
### Action Plan
#### Quick Wins (< 1 week)
- [ ] [Action 1]
- [ ] [Action 2]
#### Medium Effort (1-4 weeks)
- [ ] [Action 3]
- [ ] [Action 4]
#### Strategic (1-3 months)
- [ ] [Action 5]
- [ ] [Action 6]
### Cross-Reference with CORE-EEAT
For a complete assessment, pair this CITE audit with a CORE-EEAT content audit:
| Assessment | Score | Rating |
|-----------|-------|--------|
| CITE (Domain) | [X]/100 | [rating] |
| CORE-EEAT (Content) | [Run content-quality-auditor on sample pages] | — |
**Diagnosis Matrix**:
- High CITE + High CORE-EEAT → Maintain and expand
- High CITE + Low CORE-EEAT → Prioritize content quality
- Low CITE + High CORE-EEAT → Build domain authority
- Low CITE + Low CORE-EEAT → Start with content, then domain
### Recommended Next Steps
- For domain authority building: focus on top 5 priorities above
- For content improvement: use `content-quality-auditor` on key pages
- For backlink strategy: use `backlink-analyzer` for detailed link analysis
- For competitor benchmarking: use `competitor-analysis` with CITE scores
- For tracking progress: run `/seo:report` with CITE score trendsExecute in order, referring to the ## Scoring Runbook (authoritative) block earlier in this file:
cap_applied in the handoff. For CITE, single-veto fails also raise a Manipulation Alert entry in open_loops.status: BLOCKED with reason in open_loops.After delivering findings to the user, ask:
"Save these results for future sessions?"
If yes, write a dated summary to the appropriate memory/ path using filename YYYY-MM-DD-<topic>.md containing:
If any veto-level issue was found (CORE-EEAT T04, C01, R10 or CITE T03, T05, T09), also append a one-liner to memory/hot-cache.md without asking.
See references/example-report.md for a complete CITE audit of cloudhosting.com showing veto check, dimension scores, top 5 improvements, action plan, and cross-reference with CORE-EEAT.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.