# Creator Diligence Audience Report > Premium, audience-verified creator diligence one-pager. Use when the user wants a procurement/legal-grade vetting doc that INCLUDES real audience demographics, geo, and a fake-follower (credibility) score — e.g. "deep diligence on @creator", "audience-verified diligence", "is this creator's audience real and on-brand", "vetting one-pager with audience data". This is the PAID/token tier — it pulls a full audience report. For the cheaper profile-only version use creator-diligence-report. - Skill: `creatorland/creator-diligence-audience-report` (Agent Skill) - Install (CLI): `npx skillmds@latest add creatorland/creator-diligence-audience-report` - Raw SKILL.md: https://api.skillmd.com/api/skills/creatorland/creator-diligence-audience-report/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Docs & Writing - Author: creatorland (https://skillmd.com/u/creatorland) - Updated: 2026-09-21 - Page: https://skillmd.com/skills/creatorland/creator-diligence-audience-report --- # Creator Diligence Report — Audience-Verified (premium) The premium tier of the diligence dossier: everything the cheap `creator-diligence-report` gives PLUS a verified third-party **audience report** — real audience demographics, geography, interests, audience brand-affinity, and a **fake-follower / credibility score**. For procurement, legal, and brand-side teams who need to prove a creator's audience is *real and on-brand* before a contract, not just vibe it. This is the PAID tier: it pulls a full audience report via `get_audience_report` (**25 credits**, or $0 on a cache hit within 30 days — but still billed 25). That is ~10× the cheap profile-only report, so it must be a **deliberate, confirmed choice** — never a silent upgrade. Read first: ${CLAUDE_PLUGIN_ROOT}/shared/conventions.md (tool schemas, credit prices, the nine conventions). This skill honors the Freshness Gate (${CLAUDE_PLUGIN_ROOT}/shared/freshness-gate.md), Refusal Recovery (${CLAUDE_PLUGIN_ROOT}/shared/refusal-recovery.md), and the credit-estimate discipline (${CLAUDE_PLUGIN_ROOT}/shared/credit-modes.md). > Profile-only, no paid audience pull → `creator-diligence-report`. > A live quoted fee to evaluate → `fair-price-brief`. > Competitor-relationship screening only → `conflict-check`. > A whole roster of audience reports → `roster-microsite-builder`. ## Inputs to collect - **Creator identifier** (required) — handle, profile URL, Creatorland ID, or email. Map to one of the five identifier types. Also capture the **platform** (instagram / tiktok / youtube) and, if known, the **stable source_user_id** (it guarantees a cache hit and avoids a re-pull). - **Engagement context** (optional) — the brand/campaign this is for; powers the on-brand "fit" framing. - **Competitor brands to screen** (optional) — ask once. ## Flow 1. **Cost preflight (MANDATORY — this is a paid pull).** Run `check_audience_coverage` `{ creators: [{ platform, handle|source_user_id }] }` (free) first. State the result to the human and get an explicit go-ahead: > This pulls a full **audience report** — premium, **25 credits** (~$0.63), > or **free if cached** within 30 days. Coverage shows: ` fresh ≈25 credits>`. Continue? Do NOT pull until the human confirms. If they decline, **fall back to the free profile-only `creator-diligence-report`** and say so explicitly. 2. **Resolve the creator** — `get_creator_profile` `{ identifier: { type, ... } }` (1 credit). Capture identity, platforms, follower count/tier, audience geo, **data freshness**, and brand affiliations. Halt cleanly if the identifier does not resolve. 3. **Pull the audience report** — `get_audience_report` `{ platform, source_user_id | handle }` (cache-first). Capture `as_of {profile_updated}` for the freshness stamp and the `coverage` block. If the report cannot be built (no audience data), say so and fall back to the profile-only dossier. 4. **Compose the one-pager** (no tool calls). Fixed section order; every section present even when a platform doesn't supply it (labeled, never blank). **Lead with audience authenticity.** ## Deliverable ```markdown # Audience-Verified Diligence — @ _Creatorland Data · · audience report as of _ **Data freshness: ** **Audience coverage: ** ## 1. Audience authenticity ← lead with this **~% suspicious/fake followers** (bot/fake-flagged) · **~% mass followers** (real but low-value — accounts that follow thousands) · credibility score <0–1> · class Audience-type split: real <%> / suspicious <%> / mass-followers <%> / influencers <%>. **Verdict vs floor:** 🟢 real audience / 🔴 below credibility floor — . > Credibility & fake-follower % are **vendor-derived** (the audience-data > provider's score), surfaced here — not a Creatorland computation. > **fake-follower % counts suspicious/bot accounts only; mass-follower % is the > separate figure — real people who over-follow (low-value, not fake). Never > blend the two into one "fake" number.** > Instagram-only today; for TikTok/YouTube this section reads "not available". ## 2. Identity & reach Handle / platform(s) / followers & tier / verified gender & age / location / real engagement rate (provider-measured). ## 3. Audience fit Top geographies with shares (US / target-market weight called out) · age & gender split · top interests · top audience brand-affinities (IG). ## 4. Brand history & conflicts Paid-partnership brands (from the report's commercial posts, IG) + Creatorland corpus affiliations. ".> Note: affiliations are corpus-derived + report-derived — not an exhaustive deal history; absence ≠ no relationship. ## 5. Market position (vertical band context) `query_market_intelligence` rate band for the creator's inferred vertical — p25 $ · median $ · p75 $. The creator's sits . > · recency window: Corpus-level band for the vertical/tier — NOT this creator's rate history. ## 6. Provenance & freshness Audience data **as of **; deal data derived from the Creatorland corpus. Credibility score is vendor-derived (labeled). PII excluded by design — no contact info in this report. --- **Provenance:** Creatorland Data MCP · 1 profile + 1 audience report () <+ 1 rate benchmark> · **Credits used:** ~ (1 profile + 25 audience report <+ 5 rate>) ``` 5. **Offer the artifacts.** Default deliverable is the clean markdown one-pager. Then offer: (a) the report's **whitelabeled PDF** (the `pdf_url` the tool returned, when present), and/or (b) a `.docx` / `.pdf` render of the full one-pager for procurement filing. ## Honesty rules - **Cost is confirmed, never silent.** The 25-credit pull happens only after the human says yes to the preflight; declining falls back to the free profile-only diligence. - **Lead with authenticity.** Section 1 is first and carries the verdict — surface fake-follower % (suspicious/bot) and mass-follower % (real but low-value) as two distinct figures, never one blended "fake" number. - **Credibility is vendor-derived — labeled.** Never present the score as a Creatorland computation (it is the audience-data provider's). - **Instagram-first honesty.** For TikTok/YouTube, the credibility and audience brand-affinity sections read "not available for this platform today" — never fabricated. - **Band ≠ their rate.** Section 5 framing is fixed. - **PII invariant (convention 7).** No contact info appears, regardless of source — including the report's own `contacts` field (which the MCP already strips). Scrub bio snippets. - **Stale leads.** Freshness + `as_of` are in the header, not buried. ## Credit footprint ~26–31 credits per creator: 1 profile + 25 audience report (or 1 + free on a cache hit, billed 25) + optional 5 rate benchmark. Always run the free `check_audience_coverage` preflight first; a cached creator is the same 25 but $0 vendor cost. State the estimate before pulling.