Chalk Labs
Need help deploying insurance-policy-reading?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/relewant-dev-insurance-policy-reading
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
insurance-policy-reading- Description
- None
- License
- MIT
- Instructions
- 29 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# insurance-policy-reading ## Purpose Guide the **insurance-policy-reading** capability for insurance documents such as policy declarations, schedules, endorsements, certificates of insurance, claim forms, and renewal notices. ## Inputs - Document source (path/URI or extracted text) - Insurance context (line of business, jurisdiction, policyholder question, compliance constraints) - Optional policy profile with expected products, coverages, and claim scenario ## Outputs - Plain-language coverage summary with citations to extracted clauses when available - Structured policy facts: insurer, policyholder, policy number, effective dates, limits, deductibles, premiums, endorsements, exclusions, and cancellation/renewal terms - Claim-readiness notes: notice requirements, evidence checklist, deadlines, contacts, and escalation paths - Confidence indicators, ambiguities, missing pages/schedules, and recommended human-review items ## Workflow 1. Classify the insurance document subtype and line of business before extraction. 2. Extract declarations-page facts first, then reconcile schedules, riders, and endorsements. 3. Identify covered events, limits, sublimits, deductibles, exclusions, waiting periods, and conditions precedent. 4. Map claim obligations to a checklist with dates, evidence requirements, contacts, and unresolved dependencies. 5. Flag contradictions, ambiguous wording, missing attachments, low-confidence OCR spans, and clauses requiring licensed insurance/legal review. ## Operational guidance - Do not present coverage determinations as legal advice; frame results as document-reading support. - Preserve sensitive personal, health, financial, and claims data boundaries in logs and outputs. - Keep extracted clause references and field confidence attached to each coverage or claim finding. - Prefer explicit “not found in provided document” messages over inference when the policy text is incomplete.
From relewant-dev/pdf-processor-services, MIT.
More from relewant-dev/pdf-processor-services
- 0.251score
candidate-profile-extraction
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
claims-requirements-extraction
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
coverage-exclusions-analysis
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
cv-reading
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
document-classification
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
document-processing-observability
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
document-validation
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
experience-skills-normalization
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
fraud-signals-detection
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
ocr-extraction
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
pii-redaction
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9 - 0.251score
structured-data-mapping
relewant-dev
No description from the publisher yet.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 2, 2026 (5 months ago)
- Last release
- Jul 16, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get insurance-policy-reading running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
insurance-policy-reading skill. Agent Mart. https://agentmart.dev/skills/relewant-dev-insurance-policy-reading (last updated 2026-10-24)