nimbleway/agent-skills/healthcare-providers-verify
Claude Code and agent skill by nimbleway/agent-skills
- community
Checking that the SKILL.md file is still in the repository.
Validates practitioner credentials and license status against the NPI registry. Cross-references specialties, credentials, and practice addresses against official records. Returns Verified / Partially Verified / Unverified / Flagged per practitioner with mismatch details and source URLs. Triggers: "verify these doctors", "check provider credentials", "validate licenses", "verify NPI numbers", "cross-check credentials against NPI", "compliance audit on providers", "are these practitioners still licensed", "validate my provider list". Accepts CSV, Google Sheet URL, or pasted data. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
Install
npx vskill@latest install nimbleway/agent-skills/healthcare-providers-verifySKILL.md
Healthcare Providers Verify
Validate practitioner credentials against the NPI registry and authoritative sources, powered by Nimble's web data APIs.
User request: $ARGUMENTS
Before running any commands, read references/nimble-playbook.md for Claude Code constraints (no shell state, no &/wait, sub-agent permissions, communication style).
Instructions
Step 0: Preflight + WSA Discovery
Sibling handoff check: Before running full preflight, check if healthcare-providers-extract or healthcare-providers-enrich ran earlier in this session by following the Sibling Handoff pattern from references/nimble-playbook.md. If same-day output exists, skip CLI check and profile load, and reuse WSA Layer 1/3 inventory. Only re-run Layer 2 if the verification focus changed.
Otherwise, run full preflight from references/nimble-playbook.md (5 simultaneous Bash calls: date calc, today, CLI check, profile load, index.md load).
Also simultaneously — run WSA discovery and setup:
mkdir -p ~/.nimble/memory/{reports,healthcare-providers-verify/checkpoints}ls ~/.nimble/memory/healthcare-providers-verify/checkpoints/ 2>/dev/null- Run Layer 1 (vertical) and Layer 3 (general tools) WSA discovery from
references/wsa-reference.md. Layer 2 (session-specific) runs after Step 1 when you know the user's specialty and verification focus.
Classify discovered agents into verification categories and validate with nimble extract:templates get per references/wsa-reference.md.
From the preflight results:
- CLI missing or API key unset ->
references/profile-and-onboarding.md, stop - Tag all
nimbleCLI calls:nimble --client-source nimble-agent-skills <subcommand>. MCP requests are attributed at the transport level — seereferences/nimble-playbook.md. - Profile exists -> note it for context. Determine mode using smart date windowing
from references/nimble-playbook.md:
- Full mode: first run OR last run > 14 days ago
- Quick refresh: last run < 14 days ago (re-verify only previously
Unverified/Flagged practitioners)
- Same-day repeat: if
last_runs.healthcare-providers-verifyis today, check
for existing report at ~/.nimble/memory/reports/healthcare-providers-verify-*[today].md. If found, ask: "Already ran today. Run again for fresh data?"
- No profile -> that's fine. This skill doesn't require onboarding. Proceed to Step 1.
Step 1: Parse Input + Starting Questions
Chained-from-sibling shortcut: Check for same-day extract or enrich output:
If a same-day report exists, parse the {slug} and load the provider data (providers.json or enriched.json). This gives you names, credentials, specialties, and locations — skip parsing and go directly to Step 2.
Parse $ARGUMENTS for input type using the Input Parsing Pattern from references/nimble-playbook.md. Key routing:
- Sibling output detected (providers.json/enriched.json) -> proceed to Step 2
- CSV/Sheet/pasted data detected -> proceed to Step 2
- Unclear -> ask (counts as 1 of max 2 prompts)
If input is clear, confirm and ask one shaping question (plain text, not AskUserQuestion):
"Found N practitioners to verify. Quick questions:1. What should I verify? (credentials, specialty, active status, practice address — or all)2. Healthcare vertical? (ophthalmology, dental, dermatology, general, or other)"
If input is ambiguous, use AskUserQuestion (counts as 1 of max 2 prompts):
What practitioner data should I verify?- Paste provider data directly (name + credentials + location, one per line)- Provide a CSV file path or Google Sheet URL- Or describe what you have (e.g., "a list of 50 ophthalmologists I need toverify against the NPI registry")
Skip questions the user already answered in their initial message.
Step 2: Analyze Input Data
Parse the input into structured records. For each practitioner, identify:
- Claimed fields — name, credentials, specialty, state/city, practice name
- Verification targets — which claims to check based on user's focus
Minimum required fields: Name + at least one of (credentials, state, specialty). If a practitioner has only a name with no other identifiers, flag it: "Cannot verify [name] — need at least a state, credential, or specialty to search."
Build a verification plan summary:
"Analyzing N practitioners for verification:- Names: N/N present- Credentials claimed: N/N- Specialty claimed: N/N- State/location: N/NStarting NPI verification..."
Run Layer 2 WSA discovery now that you know the specialty:
See references/wsa-reference.md for session-specific discovery.
Step 3: NPI Registry Lookup
Prefer the NPPES API — it returns structured JSON in one call instead of search + extract (two calls). Build the query URL from the practitioner's fields:
Add &taxonomy_description=[Specialty] if the specialty is known and specific enough. The API returns NPI number, status, credentials, taxonomy codes, addresses, and enumeration dates — everything needed for verification in a single call.
Fallback to web search if the NPPES API returns zero results or errors:
Then extract the top result from an NPI source (see source priority below).
Source priority (enforce in sub-agent prompts):
- NPPES API (
npiregistry.cms.hhs.gov/api/) — preferred, structured JSON npidb.org/doctors/— clean structured data, good fallbacknppes.cms.hhs.gov(provider-view pages) — official CMS source- Skip all others (healthline, hmedata, vitals, etc.) — inconsistent formatting
Tell sub-agents: "Only extract from NPPES API, npidb.org, or nppes.cms.hhs.gov. Ignore other NPI aggregator sites."
Search budget per provider: Max 3 search queries + 1 extraction per practitioner. If no NPI match after 3 attempts, mark as Unverified and move on. Tell sub-agents: "Do not run more than 4 nimble commands per provider. Mark as Unverified if no match by then."
For 10+ practitioners, use sub-agents (see Sub-Agent Strategy below).
Key fields from NPI records — see references/npi-verification-patterns.md for the full list: NPI number, status, credentials, taxonomy/specialty, enumeration date, last updated, practice address.
Checkpoint enforcement: After each sub-agent returns its batch results, the main context MUST write the checkpoint before spawning the next step or presenting results:
- Receive sub-agent results
- Write checkpoint:
echo '[results]' > ~/.nimble/memory/healthcare-providers-verify/checkpoints/{slug}/batch-{n}.json - Continue to next step
Do NOT skip this — if the run fails between steps, the user loses all progress.
Step 4: Cross-Reference and Verify
For each practitioner, compare claimed data against extracted NPI data. Follow the verification logic in references/npi-verification-patterns.md:
- Name matching — normalize both names and determine match level (Strong,
Likely, Weak, No Match) per the name matching rules in the reference
- Credential matching — compare claimed credentials against NPI record
- Specialty matching — compare claimed specialty against NPI taxonomy using
the taxonomy matching strategy in the reference
- Address matching — compare claimed state/city against NPI practice address
- Status check — verify NPI status is Active
Assign verification status per practitioner based on the totality of evidence:
- Verified — all claims match NPI record
- Partially Verified — NPI found, minor discrepancies
- Unverified — no NPI match found or unable to disambiguate
- Flagged — active mismatches requiring human review
See references/npi-verification-patterns.md for the detailed criteria for each status and the mismatch severity levels (Critical vs Warning).
Step 5: WSA Supplementary Verification (Optional)
If the user requested regulatory verification beyond NPI lookup, or if Step 5 left practitioners as Unverified that might benefit from additional sources:
Run verification-phase WSAs discovered in Step 0. See references/wsa-reference.md for the verification phase mapping, agent evaluation, and fallback chains.
Practice confirmation: For Unverified practitioners, try confirming their practice exists via practice-level WSAs or web search:
Regulatory verification: For practitioners the user wants regulatory checks on:
Step 6: Deduplication & Confidence Scoring
Follow the Entity Deduplication pattern from references/nimble-playbook.md. Skill-specific dedup rules are in references/provider-extraction-patterns.md.
NPI dedup check: After all sub-agents return, scan for duplicate NPI numbers across batches. If two different providers mapped to the same NPI, flag both as "Flagged — possible NPI collision, requires human review." This catches data entry errors and name confusion in the source provider list.
Verification-specific scoring: The verification status (Verified / Partially Verified / Unverified / Flagged) replaces confidence scoring for this skill. Each status includes a confidence qualifier:
- High confidence — 2+ NPI sources corroborate, strong name match
- Medium confidence — single NPI source, likely name match
- Low confidence — weak name match, partial field matches
Step 7: Output
Present results as a verification report — showing status per practitioner with specific mismatch details. Group by verification status, include a "What This Means" section at the end.
This is the start of the file. Read the full SKILL.md on GitHub.
Security
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- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
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Source
- SKILL.md in the repositoryCheckingskills/healthcare-providers-verify/SKILL.md
Popularity
- Repository stars
- 50
- Repository forks
- 16
- 7-day trend score
- 20
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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