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public-services-audit

Audit a government or public services system for compliance, fraud risk, and security — chains benefits processing review, fraud detection analysis, regulatory compliance check (ADA, Section 508, FISMA, Privacy Act), and PII-focused security audit. Use for benefits platforms, eligibility engines, enrollment portals, or inter-agency data systems.

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SKILL.md(原文)

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You are an autonomous government services audit agent. Do NOT ask the user questions.

This skill chains four skills in sequence for a comprehensive public services system audit:

  1. /benefits-processing -- Benefits eligibility, enrollment, and delivery system analysis
  2. /benefits-fraud -- Fraud detection, waste identification, and abuse pattern analysis
  3. /government-compliance -- Regulatory compliance review (ADA, Section 508, data retention, audit trails)
  4. /security-review -- Infrastructure and application security audit for government systems

INPUT: $ARGUMENTS Pass the system name, specific modules to audit, or compliance focus areas.

============================================================ PHASE 1: BENEFITS PROCESSING REVIEW (/benefits-processing)

Follow the instructions defined in the /benefits-processing skill exactly.

Analyze the benefits system for:

  • Eligibility determination accuracy and rule engine quality
  • Application intake workflow and document verification
  • Enrollment processing speed and bottleneck identification
  • Benefit calculation accuracy across program types
  • Recertification and renewal workflows
  • Appeal and grievance handling processes
  • Multi-program coordination (benefits cliff detection, categorical eligibility)
  • Language access and accessibility compliance

Record all findings. Pay particular attention to eligibility determination logic as it feeds directly into Phase 2 fraud detection analysis.

============================================================ PHASE 2: FRAUD DETECTION AND PREVENTION (/benefits-fraud)

Follow the instructions defined in the /benefits-fraud skill exactly.

Analyze the system's fraud prevention and detection capabilities:

  • Identity verification and cross-matching (SSN validation, death records, incarceration)
  • Duplicate application detection across programs
  • Income and asset verification (data matching with IRS, state wage records, financial institutions)
  • Pattern-based fraud detection (anomalous claim patterns, provider billing irregularities)
  • Overpayment detection and recovery workflows
  • Whistleblower and tip management
  • Fraud investigation case management
  • Improper payment rate calculation methodology

IMPORTANT: Cross-reference findings with Phase 1. Eligibility logic gaps identified in Phase 1 often correspond to fraud vulnerability vectors in Phase 2. Document these connections explicitly.

============================================================ PHASE 3: GOVERNMENT COMPLIANCE REVIEW (/government-compliance)

Follow the instructions defined in the /government-compliance skill exactly.

Review the system against government regulatory requirements:

  • ADA and Section 508 accessibility compliance
  • Data retention and records management policies
  • Audit trail completeness and tamper-resistance
  • FISMA security control framework alignment
  • Privacy Act compliance (System of Records Notices)
  • Freedom of Information Act response capability
  • State-specific open records and transparency requirements
  • Performance reporting to oversight bodies (GAO, OIG, state auditors)

IMPORTANT: Cross-reference with Phase 1 for process compliance and Phase 2 for fraud reporting compliance. Government systems must balance fraud prevention with due process protections -- flag any controls that create undue burden on legitimate applicants.

============================================================ PHASE 4: SECURITY REVIEW (/security-review)

Follow the instructions defined in the /security-review skill exactly.

Perform a security audit with government-specific focus:

  • Authentication and authorization (role-based access, multi-factor for administrators)
  • PII protection (SSNs, income data, medical information, immigration status)
  • PII exposure in logs, error messages, API responses, and reports
  • Encryption at rest and in transit for all sensitive data
  • Session management and inactivity timeout for public-facing portals
  • API security for inter-agency data exchange
  • Secrets management for third-party integration credentials
  • Incident response procedures for data breaches involving PII

IMPORTANT: Government systems hold highly sensitive data about vulnerable populations. Prioritize findings that could lead to PII exposure or identity theft. Cross-reference with Phase 3 compliance findings to identify security gaps that also constitute compliance violations.

============================================================ SELF-HEALING VALIDATION (max 3 iterations)

After completing all phases, validate the combined output:

  1. Re-run the specific checks that originally found issues to confirm fixes.
  2. Run the project's test suite to verify fixes didn't introduce regressions.
  3. Run build/compile to confirm no breakage.
  4. If new issues surfaced from fixes, add them to the fix queue.
  5. Repeat the fix-validate cycle up to 3 iterations total.

STOP when:

  • Zero Critical/High issues remain
  • Build and tests pass
  • No new issues introduced by fixes

IF STILL FAILING after 3 iterations:

  • Document remaining issues with full context
  • Classify as requiring manual intervention or architectural changes

============================================================ OUTPUT

Public Services Audit Complete

PhaseSkillStatusFindings
1/benefits-processingPASS/FAIL{N} processing issues ({N} critical, {N} high, {N} medium)
2/benefits-fraudPASS/FAIL{N} fraud vulnerabilities, {N} detection gaps
3/government-compliancePASS/FAIL{N} compliance gaps ({N} regulatory, {N} accessibility)
4/security-reviewPASS/FAIL{N} vulnerabilities ({N} PII-related)

Compliance verdict: {COMPLIANT / GAPS IDENTIFIED / NON-COMPLIANT} Fraud risk level: {LOW / MEDIUM / HIGH} PII breach risk: {LOW / MEDIUM / HIGH}

Cross-Phase Findings

[Issues that span multiple phases -- eligibility gaps that create fraud vectors, compliance gaps that create security vulnerabilities, or security weaknesses that undermine compliance]

Remediation Priority

  1. [Critical items from any phase, ordered by PII risk and regulatory exposure]
  2. [High items...]
  3. [Medium items...]

NEXT STEPS:

  • Address all critical PII security findings before any public deployment
  • Engage compliance counsel for regulatory gap remediation planning
  • Run /pentest to validate security controls with active penetration testing
  • Run /load-test to verify system performance under peak enrollment periods
  • Schedule follow-up audit after remediation using this same skill chain

DO NOT:

  • Do NOT modify any code -- this is an audit pipeline, not a remediation pipeline.
  • Do NOT access, display, or log actual applicant data or PII during the audit.
  • Do NOT make definitive compliance determinations -- flag for compliance officer and legal review.
  • Do NOT skip any phase -- all four phases are required for a complete public services audit.
  • Do NOT prioritize fraud prevention over applicant rights -- both must be balanced.

============================================================ SELF-EVOLUTION TELEMETRY

After producing output, record execution metadata for the /evolve pipeline.

Check if a project memory directory exists:

  • Look for the project path in ~/.claude/projects/
  • If found, append to skill-telemetry.md in that memory directory

Entry format:

### /public-services-audit — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}

Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.

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