Repository Analysis

anthropics/financial-services

20.2 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of anthropics/financial-services, a Python project with 33,479 GitHub stars. SynthScan v2.0 examined 45,451 lines of code across 360 source files, recording 555 pattern matches distributed across 12 syntactic categories. The overall adjusted score of 20.2 places this repository in the Moderate AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

20.2
Adjusted Score
20.2
Raw Score
100%
Time Factor
2026-06-26
Last Push
33.5K
Stars
Python
Language
45.5K
Lines of Code
360
Files
555
Pattern Hits
2026-07-14
Scan Date
0.04
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 15MEDIUM 13LOW 527

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 555 distinct pattern matches across 12 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Structural Annotation Overuse462 hits · 739 pts
SeverityFileLineSnippetContext
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md84### Step 1: Establish Coverage & PeriodCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md102### Step 2: Build the Company UniverseCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md133### Step 3: Pull Funding RoundsCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md177### Step 4: Pull Company Context for Notable DealsCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md187### Step 5: Identify Highlights & TrendsCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md215### Step 6: Generate Company LogosCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md308### Step 7: Generate the One-Page PPTXCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md467### Step 8: QA the SlideCOMMENT
LOW…/partner-built/spglobal/skills/funding-digest/SKILL.md481### Step 9: Present ResultsCOMMENT
LOW…gins/partner-built/spglobal/skills/tear-sheet/SKILL.md336### Step 1: Identify InputsCOMMENT
LOW…gins/partner-built/spglobal/skills/tear-sheet/SKILL.md351### Step 2: Read the Audience-Specific ReferenceCOMMENT
LOW…gins/partner-built/spglobal/skills/tear-sheet/SKILL.md362### Step 3: Pull Data via S&P Global MCPCOMMENT
LOW…gins/partner-built/spglobal/skills/tear-sheet/SKILL.md447### Step 4: Format as DOCXCOMMENT
LOW…al-plugins/private-equity/skills/ai-readiness/SKILL.md10### Step 1: Connect to Portfolio DataCOMMENT
LOW…al-plugins/private-equity/skills/ai-readiness/SKILL.md26### Step 2: Per-Company ScanCOMMENT
LOW…al-plugins/private-equity/skills/ai-readiness/SKILL.md54### Step 3: Rank Across the PortfolioCOMMENT
LOW…al-plugins/private-equity/skills/ai-readiness/SKILL.md72### Step 4: Find the ReplaysCOMMENT
LOW…al-plugins/private-equity/skills/ai-readiness/SKILL.md82### Step 5: OutputCOMMENT
LOW…ns/private-equity/skills/portfolio-monitoring/SKILL.md10### Step 1: Ingest Financial PackageCOMMENT
LOW…ns/private-equity/skills/portfolio-monitoring/SKILL.md16### Step 2: KPI Extraction & Variance AnalysisCOMMENT
LOW…ns/private-equity/skills/portfolio-monitoring/SKILL.md35### Step 3: Flag & SummarizeCOMMENT
LOW…ns/private-equity/skills/portfolio-monitoring/SKILL.md48### Step 4: Trend AnalysisCOMMENT
LOW…plugins/private-equity/skills/dd-meeting-prep/SKILL.md10### Step 1: Meeting ContextCOMMENT
LOW…plugins/private-equity/skills/dd-meeting-prep/SKILL.md19### Step 2: Generate Question ListCOMMENT
LOW…plugins/private-equity/skills/dd-meeting-prep/SKILL.md70### Step 3: Benchmarks & ContextCOMMENT
LOW…plugins/private-equity/skills/dd-meeting-prep/SKILL.md78### Step 4: Red Flags to ProbeCOMMENT
LOW…plugins/private-equity/skills/dd-meeting-prep/SKILL.md87### Step 5: OutputCOMMENT
LOW…al-plugins/private-equity/skills/dd-checklist/SKILL.md10### Step 1: Scope the DiligenceCOMMENT
LOW…al-plugins/private-equity/skills/dd-checklist/SKILL.md19### Step 2: Generate Workstream ChecklistsCOMMENT
LOW…al-plugins/private-equity/skills/dd-checklist/SKILL.md77### Step 3: Status TrackingCOMMENT
LOW…al-plugins/private-equity/skills/dd-checklist/SKILL.md88### Step 4: Red Flag SummaryCOMMENT
LOW…al-plugins/private-equity/skills/dd-checklist/SKILL.md97### Step 5: OutputCOMMENT
LOW…-plugins/private-equity/skills/deal-screening/SKILL.md10### Step 1: Extract Deal FactsCOMMENT
LOW…-plugins/private-equity/skills/deal-screening/SKILL.md24### Step 2: Screen Against CriteriaCOMMENT
LOW…-plugins/private-equity/skills/deal-screening/SKILL.md41### Step 3: Quick AssessmentCOMMENT
LOW…-plugins/private-equity/skills/deal-screening/SKILL.md50### Step 4: OutputCOMMENT
LOW…-plugins/private-equity/skills/unit-economics/SKILL.md10### Step 1: Identify Business ModelCOMMENT
LOW…-plugins/private-equity/skills/unit-economics/SKILL.md18### Step 2: Core MetricsCOMMENT
LOW…-plugins/private-equity/skills/unit-economics/SKILL.md58### Step 3: BenchmarkingCOMMENT
LOW…-plugins/private-equity/skills/unit-economics/SKILL.md68### Step 4: Revenue Quality ScoreCOMMENT
LOW…-plugins/private-equity/skills/unit-economics/SKILL.md82### Step 5: OutputCOMMENT
LOW…ertical-plugins/private-equity/skills/ic-memo/SKILL.md10### Step 1: Gather InputsCOMMENT
LOW…ertical-plugins/private-equity/skills/ic-memo/SKILL.md23### Step 2: Draft Memo StructureCOMMENT
LOW…ertical-plugins/private-equity/skills/ic-memo/SKILL.md76### Step 3: Output FormatCOMMENT
LOW…l-plugins/private-equity/skills/deal-sourcing/SKILL.md12### Step 1: Discover CompaniesCOMMENT
LOW…l-plugins/private-equity/skills/deal-sourcing/SKILL.md21### Step 2: CRM CheckCOMMENT
LOW…l-plugins/private-equity/skills/deal-sourcing/SKILL.md31### Step 3: Draft Founder OutreachCOMMENT
LOW…ins/private-equity/skills/value-creation-plan/SKILL.md10### Step 1: Baseline AssessmentCOMMENT
LOW…ins/private-equity/skills/value-creation-plan/SKILL.md19### Step 2: Value Creation LeversCOMMENT
LOW…ins/private-equity/skills/value-creation-plan/SKILL.md51### Step 3: EBITDA BridgeCOMMENT
LOW…ins/private-equity/skills/value-creation-plan/SKILL.md67### Step 4: 100-Day PlanCOMMENT
LOW…ins/private-equity/skills/value-creation-plan/SKILL.md91### Step 5: KPI DashboardCOMMENT
LOW…ins/private-equity/skills/value-creation-plan/SKILL.md105### Step 6: OutputCOMMENT
LOW…lugins/private-equity/skills/returns-analysis/SKILL.md10### Step 1: Gather Deal InputsCOMMENT
LOW…lugins/private-equity/skills/returns-analysis/SKILL.md40### Step 2: Base Case ReturnsCOMMENT
LOW…lugins/private-equity/skills/returns-analysis/SKILL.md62### Step 3: Sensitivity TablesCOMMENT
LOW…lugins/private-equity/skills/returns-analysis/SKILL.md82### Step 4: Scenario AnalysisCOMMENT
LOW…lugins/private-equity/skills/returns-analysis/SKILL.md95### Step 5: OutputCOMMENT
LOW…/vertical-plugins/financial-analysis/commands/comps.md12### Step 1: Gather Company InformationCOMMENT
LOW…/vertical-plugins/financial-analysis/commands/comps.md17### Step 2: Load Comps Analysis SkillCOMMENT
402 more matches not shown…
Cross-File Repetition15 hits · 75 pts
SeverityFileLineSnippetContext
HIGH…cial-analysis/skills/dcf-model/scripts/validate_dcf.py0dcf model validation script validates excel dcf models for formula errors and common dcf mistakesSTRING
HIGH…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py0dcf model validation script validates excel dcf models for formula errors and common dcf mistakesSTRING
HIGH…model-builder/skills/dcf-model/scripts/validate_dcf.py0dcf model validation script validates excel dcf models for formula errors and common dcf mistakesSTRING
HIGH…cial-analysis/skills/dcf-model/scripts/validate_dcf.py0run all validation checks returns: dict with validation resultsSTRING
HIGH…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py0run all validation checks returns: dict with validation resultsSTRING
HIGH…model-builder/skills/dcf-model/scripts/validate_dcf.py0run all validation checks returns: dict with validation resultsSTRING
HIGH…cial-analysis/skills/dcf-model/scripts/validate_dcf.py0critical check: terminal growth must be less than waccSTRING
HIGH…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py0critical check: terminal growth must be less than waccSTRING
HIGH…model-builder/skills/dcf-model/scripts/validate_dcf.py0critical check: terminal growth must be less than waccSTRING
HIGH…cial-analysis/skills/dcf-model/scripts/validate_dcf.py0check if terminal value is reasonable proportion of enterprise valueSTRING
HIGH…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py0check if terminal value is reasonable proportion of enterprise valueSTRING
HIGH…model-builder/skills/dcf-model/scripts/validate_dcf.py0check if terminal value is reasonable proportion of enterprise valueSTRING
HIGH…cial-analysis/skills/dcf-model/scripts/validate_dcf.py0validate a dcf model excel file args: excel_path: path to excel dcf model returns: dict with validation resultsSTRING
HIGH…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py0validate a dcf model excel file args: excel_path: path to excel dcf model returns: dict with validation resultsSTRING
HIGH…model-builder/skills/dcf-model/scripts/validate_dcf.py0validate a dcf model excel file args: excel_path: path to excel dcf model returns: dict with validation resultsSTRING
Decorative Section Separators7 hits · 21 pts
SeverityFileLineSnippetContext
MEDIUM…r-msft-365-install/examples/python-bootstrap/config.py7# ─── Config ──────────────────────────────────────────────────────────COMMENT
MEDIUM…r-msft-365-install/examples/python-bootstrap/config.py21# ─── Catalog: every skill / MCP server you might hand out ────────────COMMENT
MEDIUM…r-msft-365-install/examples/python-bootstrap/config.py49# ─── RBAC: first matching rule wins ──────────────────────────────────COMMENT
MEDIUM…-for-msft-365-install/examples/python-bootstrap/app.py50# ─── Token validation ────────────────────────────────────────────────COMMENT
MEDIUM…-for-msft-365-install/examples/python-bootstrap/app.py68# ─── HTTP ────────────────────────────────────────────────────────────COMMENT
MEDIUM…global/skills/earnings-preview-beta/report-template.md996// ═══════════════════════════════════════════════COMMENT
MEDIUM…global/skills/earnings-preview-beta/report-template.md1000// ═══════════════════════════════════════════════COMMENT
Excessive Try-Catch Wrapping19 hits · 21 pts
SeverityFileLineSnippetContext
LOW…365-install/examples/python-bootstrap/get_tenant_id.py43 except Exception as e:CODE
MEDIUM…alysis/skills/ib-check-deck/scripts/extract_numbers.py256 print(f"Error: File not found: {args.input_file}", file=sys.stderr)CODE
LOW…al-analysis/skills/skill-creator/scripts/init_skill.py217 except Exception as e:CODE
LOW…al-analysis/skills/skill-creator/scripts/init_skill.py232 except Exception as e:CODE
LOW…al-analysis/skills/skill-creator/scripts/init_skill.py259 except Exception as e:CODE
LOW…analysis/skills/skill-creator/scripts/package_skill.py80 except Exception as e:CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py157 except Exception as e:CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py186 except Exception as e:CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py231 except Exception as e:CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py281 except Exception as e:CODE
MEDIUM…-agent/skills/ib-check-deck/scripts/extract_numbers.py256 print(f"Error: File not found: {args.input_file}", file=sys.stderr)CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py157 except Exception as e:CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py186 except Exception as e:CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py231 except Exception as e:CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py281 except Exception as e:CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py157 except Exception as e:CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py186 except Exception as e:CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py231 except Exception as e:CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py281 except Exception as e:CODE
Deep Nesting17 hits · 17 pts
SeverityFileLineSnippetContext
LOW…alysis/skills/ib-check-deck/scripts/extract_numbers.py108CODE
LOW…alysis/skills/ib-check-deck/scripts/extract_numbers.py186CODE
LOW…analysis/skills/skill-creator/scripts/package_skill.py19CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py71CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py115CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py160CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py189CODE
LOW…-agent/skills/ib-check-deck/scripts/extract_numbers.py108CODE
LOW…-agent/skills/ib-check-deck/scripts/extract_numbers.py186CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py71CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py115CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py160CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py189CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py71CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py115CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py160CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py189CODE
Hyper-Verbose Identifiers11 hits · 11 pts
SeverityFileLineSnippetContext
LOW…global/skills/earnings-preview-beta/report-template.md864function createAnnotatedPriceChart(canvasId, labels, prices, earningsDates, ticker) {CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py115 def _check_terminal_growth_vs_wacc(self):CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py189 def _check_terminal_value_proportion(self):CODE
LOW…itiating-coverage/references/task4-chart-generation.md293def create_revenue_by_product_chart():CODE
LOW…itiating-coverage/references/task4-chart-generation.md343def create_revenue_by_geography_chart():CODE
LOW…itiating-coverage/references/task4-chart-generation.md401def create_dcf_sensitivity_heatmap():CODE
LOW…itiating-coverage/references/task4-chart-generation.md443def create_valuation_football_field():CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py115 def _check_terminal_growth_vs_wacc(self):CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py189 def _check_terminal_value_proportion(self):CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py115 def _check_terminal_growth_vs_wacc(self):CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py189 def _check_terminal_value_proportion(self):CODE
Redundant / Tautological Comments6 hits · 9 pts
SeverityFileLineSnippetContext
LOW…alysis/skills/ib-check-deck/scripts/extract_numbers.py294 # Output resultsCOMMENT
LOW…al-analysis/skills/skill-creator/scripts/init_skill.py208 # Check if directory already existsCOMMENT
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py270 # Print resultsCOMMENT
LOW…-agent/skills/ib-check-deck/scripts/extract_numbers.py294 # Output resultsCOMMENT
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py270 # Print resultsCOMMENT
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py270 # Print resultsCOMMENT
Unused Imports7 hits · 7 pts
SeverityFileLineSnippetContext
LOW…alysis/skills/ib-check-deck/scripts/extract_numbers.py20CODE
LOW…nalysis/skills/skill-creator/scripts/quick_validate.py7CODE
LOW…cial-analysis/skills/dcf-model/scripts/validate_dcf.py10CODE
LOW…-agent/skills/ib-check-deck/scripts/extract_numbers.py20CODE
LOW…s/pitch-agent/skills/dcf-model/scripts/validate_dcf.py10CODE
LOW…model-builder/skills/dcf-model/scripts/validate_dcf.py10CODE
LOWscripts/version_bump.py27CODE
Modern AI Meta-Vocabulary3 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUMREADME.md45scripts/ # deploy-managed-agent.sh · check.py · validate.py · orchestrate.py · sync-agent-skills.pCODE
MEDIUMCLAUDE.md28└── scripts/ # deploy-managed-agent.sh, check.py, validate.py, orchestrate.py, sync-agent-skillsCODE
MEDIUMclaude-for-msft-365-install/commands/bootstrap.md21 [Scaffolding](#scaffolding-a-handler) — the sections in between are theCODE
Over-Commented Block5 hits · 5 pts
SeverityFileLineSnippetContext
LOWclaude-for-msft-365-install/scripts/sideload-addin.sh1#!/usr/bin/env bashCOMMENT
LOW…aude-for-msft-365-install/scripts/clear-addin-cache.sh1#!/usr/bin/env bashCOMMENT
LOW…itiating-coverage/references/task4-chart-generation.md521# chart_12: Free Cash Flow TrendCOMMENT
LOW…itiating-coverage/references/task4-chart-generation.md561- Source citations at bottomCOMMENT
LOWscripts/deploy-managed-agent.sh1#!/usr/bin/env bashCOMMENT
AI Slop Vocabulary1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUM…ed-agent-cookbooks/gl-reconciler/subagents/reader.yaml4# output channel is the structured JSON below, which the deploy harnessCOMMENT
Example Usage Blocks2 hits · 3 pts
SeverityFileLineSnippetContext
LOWclaude-for-msft-365-install/scripts/sideload-addin.sh13# Usage:COMMENT
LOW…aude-for-msft-365-install/scripts/clear-addin-cache.sh8# Usage:COMMENT