SkillAgentSearch skills...

validate-profile

Read-only health check that a brand profile is production-ready: required fields, voice and audience completeness, guardrails, compliance-jurisdiction coverage, connector configuration and MCP reachability, output-path writeability, and model-registry age — reported per check as BLOCKER or WARNING w…

Install / Use

npx skills add indranilbanerjee/digital-marketing-pro --skill validate-profile

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

92/100

Category

Marketing

Supported Platforms

Universal

Our assessment of validate-profile

validate-profile scores 92/100 on our quality scale, 173rd of 610 Marketing skills we index (top 29%).

Its SKILL.md is 13 KB long, well organised into 16 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

It has 832 GitHub stars, a meaningful sign that others use it.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so validate-profile is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

validate-profile compared with similar skills

All 4 of these similar skills score higher than validate-profile; compare them before choosing.

SkillScoreStarsUpdatedFormat
validate-profile (this skill)by indranilbanerjee9283226d agoSKILL.md
Agent-Reachby Panniantong10090.1k18d agoCLAUDE.md
headroomby headroomlabs-ai10074.4ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md
Scraplingby D4Vinci10085.6ktodayMCP Server

Frequently asked questions

How do I install validate-profile?
Run npx skills add indranilbanerjee/digital-marketing-pro --skill validate-profile. The install tabs above show the steps for each supported agent.
Which AI agents does validate-profile work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is validate-profile safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is validate-profile still maintained?
The repository was last updated 26 days ago, so validate-profile is actively maintained.

name: validate-profile description: "Read-only health check that a brand profile is production-ready: required fields, voice and audience completeness, guardrails, compliance-jurisdiction coverage, connector configuration and MCP reachability, output-path writeability, and model-registry age — reported per check as BLOCKER or WARNING without ever printing credential values. Triggers on "/digital-marketing-pro:validate-profile", "is the brand setup correct", "check connector credentials", "profile sanity check", "we rotated an API key — is it wired up". Reads profile.json and probes connectors via connector-status.py; the prerequisite gate before /digital-marketing-pro:engagement, /digital-marketing-pro:campaign-plan, and /digital-marketing-pro:launch-campaign." user-invocable: true allowed-tools: Read Bash Glob Grep

/digital-marketing-pro:validate-profile — Brand Profile + Credential Health Check

This skill is the canonical "is this brand ready to ship work?" gate. It validates a brand profile is complete enough for production use AND that every credential/connector referenced by the profile is actually reachable — without ever printing credential values.

Use this skill:

  • After /digital-marketing-pro:brand-setup (or /digital-marketing-pro:client-onboarding) to confirm the new profile is production-ready.
  • After rotating any API key (Slack, HubSpot, Stripe, Ahrefs, GA4 service account, etc.) so connectivity is re-confirmed without exposing the new value in logs.
  • After importing brand guidelines (/digital-marketing-pro:import-guidelines) to confirm the merge succeeded.
  • As the prerequisite check before /digital-marketing-pro:engagement, /digital-marketing-pro:campaign-plan, or /digital-marketing-pro:launch-campaign.

Why this skill exists

For agencies running 50–200 client brands, brand profiles and credentials drift constantly: a junior changes a Slack channel, an API key rotates, a brand voice gets edited. The cost of running a 60-minute engagement on a broken profile is hours of rework. This skill catches those drift cases in under 60 seconds.

The skill is read-only — it inspects state, never modifies it. It also never prints credential values — connector checks emit pass / fail / error-class without echoing the secret.

Validation dimensions

| Dimension | What's checked | Severity | |---|---|---| | Required identity | brand_name, industry, and a market/jurisdiction list non-empty — accept target_markets (what brand-setup actually writes) or target_jurisdictions (legacy). Checking only the legacy name made every freshly created brand fail its own validator on a BLOCKER | BLOCKER | | Voice profile | tone, formality and energy populated under brand_voice (what brand-setup writes, and what content-engine and brand-voice-scorer.py both read) or under voice (legacy). The generator is the source of truth here — two consumers already follow it, so this validator was the outlier | BLOCKER for content work | | Audience profile | target_audience.primary_persona with role + reading_level | WARNING | | Guardrails | guardrails.prohibited_terms + guardrails.prohibited_claims non-empty. brand-setup does not create this block, so report it as a WARNING with the exact command to add it for an unregulated brand, and reserve BLOCKER for regulated industries — where a missing guardrail is a real risk, not a setup gap | BLOCKER for regulated industries (pharma, BFSI, healthcare, legal); WARNING otherwise | | Compliance jurisdictions | Each declared jurisdiction has a matching rules entry in skills/context-engine/compliance-rules.md | BLOCKER | | Connector config present | Every connector named in tracking.backend, integrations.*, analytics.* has its env vars / .mcp.json entry present (local check; live reachability comes from the MCP/curl probe below) | BLOCKER per unconfigured connector | | MCP server health | Every entry in .mcp.json (if present) responds to a tools/list ping | WARNING | | Credential storage | ~/.claude-marketing/brands/{brand}/credentials.json (or env vars) present for every backend referenced | BLOCKER | | Output paths writeable | ~/.claude-marketing/brands/{brand}/ is writeable; the user-visible publish dir ($DIGITAL_MARKETING_PRO_PUBLISH_DIR or ~/Documents/DigitalMarketingPro/) is writeable | BLOCKER | | Model curator currency | scripts/resolve_model.py --registry-age returns < 90 days | WARNING |

A BLOCKER means "do not let the user run engagement / campaign-plan / launch-campaign until this is fixed." A WARNING is surfaced but does not gate.

Process

Step 0 — Resolve the brand to validate

If --brand <slug> was passed, use it. Otherwise read the active brand from ~/.claude-marketing/brands/_active-brand.json (set by /digital-marketing-pro:switch-brand). If neither is available, error: "--brand <slug> required, or run /digital-marketing-pro:switch-brand first." Do NOT validate "everything" — validation is per-brand by design.

Step 1 — Load the brand profile

BRAND_DIR="$HOME/.claude-marketing/brands/{brand}"
test -d "$BRAND_DIR" || { echo "Brand directory not found at $BRAND_DIR — run /digital-marketing-pro:brand-setup first."; exit 1; }
PROFILE="$BRAND_DIR/profile.json"
test -f "$PROFILE" || { echo "profile.json missing under $BRAND_DIR — run /digital-marketing-pro:brand-setup."; exit 1; }

Parse the profile JSON and capture: brand_name, industry, target_jurisdictions, voice.*, target_audience.*, guardrails.*, tracking.backend, integrations.*, analytics.*.

Step 2 — Required-field checks

Walk the checklist in the Validation dimensions table above. For each field, record one of: OK / WARN: <reason> / BLOCK: <reason>. Do NOT short-circuit — collect every issue so the user sees the full picture in one pass.

For regulated industries (industry matches any of pharma, pharmaceuticals, bfsi, banking, insurance, healthcare, legal, medical-devices), upgrade guardrails issues from WARNING to BLOCKER.

Step 3 — Compliance-jurisdiction cross-check

For every entry in target_jurisdictions, confirm skills/context-engine/compliance-rules.md contains a matching section header (e.g. ### 1.11 India — DPDPA). If a jurisdiction is declared but not covered, BLOCK with: "Jurisdiction {X} declared in profile but no compliance rules for it — engagement will produce non-compliant deliverables."

Step 4 — Connector reachability (credential-safe)

For each backend referenced in tracking.backend, integrations.crm, integrations.email, integrations.cms, integrations.analytics, integrations.social, run the matching health probe via scripts/connector-status.py:

python "${CLAUDE_PLUGIN_ROOT}/scripts/connector-status.py" \
    --action status \
    --brand "{brand}" \
    --connectors "{comma-separated list inferred from profile}" \
    --probe-only --no-secrets

connector-status.py --probe-only runs a local readiness check: it verifies that the required environment variables / .mcp.json entry for each connector are present and non-empty. It does NOT open a live network connection or make a whoami call — so it reports a config-level class (CONFIGURED / MISSING_ENV / NOT_IN_MCP), not a live HTTP status. --no-secrets guarantees it never echoes, logs, or writes a credential value. For an actual liveness check, use the connector's MCP tools/list endpoint or the HTTP curl probe below.

For MCP servers in .mcp.json (if present at the brand or project level), run a tools/list ping against each via mcp__connector__* if the connector is loaded, or invoke a 5-second curl HEAD against the configured url for HTTP MCPs:

for url in $(jq -r '.mcpServers[] | select(.type=="http") | .url' .mcp.json); do
    code=$(curl -sS -o /dev/null -w "%{http_code}" -m 5 "$url" || echo "000")
    echo "$url -> HTTP $code"
done

HTTP 200, 204, 401 (auth required for GET — POST will work), and 405 (method not allowed for GET — POST will work) all count as "reachable". 404, 000 (DNS / timeout), 5xx count as BLOCK.

Step 5 — Output-path writeability

test -w "$HOME/.claude-marketing/brands/{brand}/" || echo "BLOCK: brand directory is not writeable"
# User-visible publish dir (dual-copy pattern)
if [ -n "$DIGITAL_MARKETING_PRO_PUBLISH_DIR" ]; then
    test -w "$DIGITAL_MARKETING_PRO_PUBLISH_DIR" || echo "WARN: DIGITAL_MARKETING_PRO_PUBLISH_DIR ($DIGITAL_MARKETING_PRO_PUBLISH_DIR) is not writeable"
elif [ -d "$HOME/Documents" ]; then
    test -w "$HOME/Documents" || echo "WARN: ~/Documents is not writeable — the user-visible publish copy will fail"
fi

Step 6 — Model-curator currency

python "${CLAUDE_PLUGIN_ROOT}/scripts/resolve_model.py" --registry-age

If the registry is more than 90 days old, WARN: "model_registry.json is {N} days old — frontier models change every ~6 weeks. Run scripts/refresh_models.py to check drift." (Do not block — the curator auto-falls-forward on deprecated ids, so an older registry is degraded, not broken.)

Step 7 — Report

Print a structured report. ALWAYS show every check (don't only print failures — agencies need positive confirmation for the rest):

🔎 Brand profile validation — {brand_name}
   Slug: {brand} · Industry: {industry} · Jurisdictions: {list}

✅ Required identity      brand_name, industry, target_jurisdictions all set
✅ Voice profile          tone={tone} · formality={formality} · energy={energy}
⚠️  Audience profile       primary_persona.role set, reading_level MISSING
✅ Guardrails             {N} prohibited_terms, {M} prohibited_claims (industry={industry})
✅ Compliance jurisdictions  EU-GDPR ✓ · IN-DPDPA ✓ · US-CCPA ✓
🛑 Connector — Slack       MISSING_ENV (SLACK_* env not set — add via /digital-marketing-pro:add-integration slack)
✅ Connector — HubSpot     OK (workspace acme-corp, 1247 contacts)
✅ Connector — Stripe      OK
✅ MCP — gmailmcp.googleapis.com  HTTP 405 (alive)
✅ Output paths            ~/.claude-marketing/brands/{brand}/ writeable; ~/Documents/DigitalMarketingPro/ writeable
⚠️  Model curator           registry is 102 days old — consider scripts/refresh_models.py

Decision: 🛑 BLOCKED — Slack connector not configured. Fix before running:
  • /digital-marketing-pro:engagement
  • /digital-marketing-pro:campaign-plan
  • /digital-marketing-pro:launch-campaign

Re-run /digital-marketing-pro:validate-profile after fixing.

Also emit a machine-readable JSON summary so it can be consumed by /digital-marketing-pro:check, /digital-marketing-pro:status, or downstream automation:

{
  "brand": "{slug}",
  "decision": "blocked | passed | passed_with_warnings",
  "blockers": [{"check": "connector_slack", "reason": "..."}],
  "warnings": [{"check": "audience_persona", "reason": "reading_level missing"}],
  "passed": ["required_identity", "voice_profile", ...]
}

Behaviour rules

  1. Never print credential values. Connector probes use --no-secrets; if a probe accidentally returns a credential in its error string, redact before printing. The skill output goes to logs and clipboards — assume it leaks.
  2. Read-only. Never modify the brand profile, credentials, MCP config, or any persistent state. This is a checker, not a fixer. Hand back actionable next commands instead.
  3. Don't short-circuit. Run every check even after the first BLOCKER — agencies want the full punch list in one pass.
  4. Don't validate cross-brand. Per-brand only, by design. Looping across all brands is a separate workflow (/digital-marketing-pro:agency-dashboard --health).
  5. Idempotent. Running this skill twice in a row produces identical output (modulo timestamps). No retries inside the skill — retries are the user's call.

Arguments

/digital-marketing-pro:va

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars832
CategoryMarketing
Updated26d ago
Forks136

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions