name

nigerian-corruption-spotter

description

Advanced budget forensics tool for detecting corruption, budget padding, and financial anomalies in Nigerian government budgets (Federal, State, LGA). Combines historical corruption pattern analysis, statistical anomaly detection, and impact quantification. Use this skill when: (1) Analyzing Nigerian budget documents for irregularities, (2) Comparing allocations to detect padding, (3) Calculating what misappropriated funds could have built/funded, (4) Identifying red flags in MDAs (Ministries, Departments, Agencies), (5) Benchmarking spending against national/international standards, (6) Tracking known corruption hotspots (legislature, security votes, emergency procurements), (7) Converting corruption amounts into citizen impact metrics.

Nigerian Corruption Spotter

Quick Start Workflow

LOAD budget data (PDF, JSON, or structured text)
RUN red flag scan (see references/red-flags.md)
CALCULATE anomaly scores (see references/benchmarks.md)
QUANTIFY impact (see references/impact-calculator.md)
GENERATE report with findings

Red Flag Categories

Category A: Structural (High Confidence)

Budget padding: Line items 200%+ above previous year
Phantom projects: Capital allocations with no implementation
Vague descriptions: "Miscellaneous", "Sundry" over ₦100M

Category B: Ratio Anomalies

Overhead > Capital in development MDAs
Travel > Service Delivery costs
Admin > 30% of total allocation

Category C: Comparative

Allocation 150%+ above peer states
100%+ YoY increase without policy change

Risk Scoring

Score = (Structural Flags × 3) + (Ratio Anomalies × 2) + (Comparative × 1)

0-3: Low | 4-6: Medium | 7-9: High | 10+: Critical

Key References

references/red-flags.md - Detection rules
references/benchmarks.md - Nigerian cost standards
references/impact-calculator.md - Naira to impact conversion
references/corruption-history.md - Historical cases
scripts/impact_calculator.py - Calculation tool
scripts/red_flag_scanner.py - Automated scanning

Nigerian Corruption Spotter

Quick Start Workflow

LOAD budget data (PDF, JSON, or structured text)

RUN red flag scan (see references/red-flags.md)

CALCULATE anomaly scores (see references/benchmarks.md)

QUANTIFY impact (see references/impact-calculator.md)

GENERATE report with findings

Red Flag Categories

Category A: Structural (High Confidence)

Budget padding: Line items 200%+ above previous year

Phantom projects: Capital allocations with no implementation

Vague descriptions: "Miscellaneous", "Sundry" over ₦100M

Category B: Ratio Anomalies

Overhead > Capital in development MDAs

Travel > Service Delivery costs

Admin > 30% of total allocation

Category C: Comparative

Allocation 150%+ above peer states

100%+ YoY increase without policy change

Risk Scoring

Score = (Structural Flags × 3) + (Ratio Anomalies × 2) + (Comparative × 1)

0-3: Low | 4-6: Medium | 7-9: High | 10+: Critical

Key References

references/red-flags.md - Detection rules

references/benchmarks.md - Nigerian cost standards

references/impact-calculator.md - Naira to impact conversion

references/corruption-history.md - Historical cases

scripts/impact_calculator.py - Calculation tool

scripts/red_flag_scanner.py - Automated scanning