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noahweidig/tiger-roads-scraper

Convert TIGER Roads into Shapefiles

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Python
★ 0
commit f8622dcc4633
scored 2026-11-14
scoring prov-5+qual-2+sec-2

unreviewed-ai-risk

AI provenance

73%

explicit

Confidence: 81%
Coverage: 100%

Estimated share of AI-generated code. Explicit attribution is a lower bound.

Code quality

35/100

poor

Confidence: 90%
Coverage: 100%

Complexity, duplication, lint density, tests, CI, docs and review process.

Security

84/100

adequate

Confidence: 85%
Coverage: 100%

Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.

Dispute or request a re-score Full report JSON

AI provenance

73% explicit

Explicit AI attribution on 73% of first-party code added; an estimated 73% including velocity signals.

How the score is built

Explicitly attributed share73%
Unattributed share in AI-pace bursts0%
Estimated AI-generated share73%
AI tool configuration files1
Work sessions at AI pace0
Releases at AI pacenot measured
Coding-style index (1.0+ means possible)0.00

Attributed AI tools

Tool	Commits	Lines added	First seen	Last seen
Claude Code	22	1,567	2026-05-29	2026-10-14

Lines added per month all AI-attributed share

2026-05614 · 18% AI
2026-06631 · 97% AI
2026-08892 · 94% AI
2026-090 · 0% AI
2026-102 · 100% AI

Findings in AI-attributed lines vs the rest

From git blame: 1,248 lines trace to AI-attributed commits, 301 to others. Too few lines in one group for a fair comparison. Reported, not scored.

Findings per 1,000 lines	AI-attributed	Other	Ratio
Code quality	3.21	26.58	—
Security	1.60	0.00	—

Evidence by analyzer

Explicit AI attributionok23 items

attributed_commit_share: 51.2%
attributed_commits: 22
attributed_loc: 1,567
attributed_loc_share: 73.3%
commits: 43
effective_loc: 2,139
tools_detected: 1

AI tool configurationok1 item

AGENTS.md (generic-agent configuration)

artifacts: 1
earliest_adoption: 2026-06-01
tools_configured: 1
workflow_agents: 0

Commit velocityok

excluded_import_loc: 0
flagged_loc: 0
flagged_loc_share: 0.0%
flagged_units: 0
max_loc_per_hour: 126
measured_loc: 2,139
median_loc_per_hour: 73.75
pr_timed_units: 0
pre_ai_era_burst_loc: 0
pre_ai_era_bursts: 0
pre_ai_era_measured_loc: 0
work_units: 13

Release velocityskipped

Coding styleok

count:assistant_voice: 0
count:emoji_in_code: 0
count:narrated_steps: 0
count:placeholder: 0
files:assistant_voice: 0
files:emoji_in_code: 0
files:narrated_steps: 0
files:placeholder: 0
index: 0
lines_scanned: 1,549
per_kloc:assistant_voice: 0
per_kloc:emoji_in_code: 0
per_kloc:narrated_steps: 0
per_kloc:placeholder: 0

Findings in AI-written linesok

ai_lines: 1,248
blame_failures: 0
files_blamed: 7
other_lines: 301
quality:ai_findings: 4
quality:ai_per_kloc: 3.21
quality:other_findings: 8
quality:other_per_kloc: 26.58
security:ai_findings: 2
security:ai_per_kloc: 1.60
security:other_findings: 0
security:other_per_kloc: 0

Code quality

35 poor

Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 36% of function code in complex or long functions; 2% duplicated lines. Weakest area: testing.

How the score is built

Complexity34
Duplication89
Lint and smells8
Tests and CI0
Documentation80
Type safety40
Review processnot measured

Evidence by analyzer

Complexity (lizard)ok4 items

complex_functions: 4
function_nloc: 880
functions: 51
long_functions: 0
many_param_functions: 0
mean_ccn: 6.80
p90_ccn: 14
risky_nloc_share: 36.1%

Duplication (jscpd)ok2 items

compared_lines: 1,240
duplicated_lines: 24
duplicated_share: 1.9%
files: 7

Lintok

category:best-practice: 11
category:maintainability: 1
findings: 12
scanned_lines: 1,549
weighted_findings: 16

Tests and CIok

check:ci_present: no
check:ci_runs_lint: no
check:ci_runs_tests: no
check:has_tests: no
check:test_ratio: no
check:tests_cochange: no
ci_files: 0
cochange_commits: 21
cochange_share: 0.0%
source_lines: 1,549
test_lines: 0
test_ratio: 0

Documentationok3 items

README.md README.md
LICENSE LICENSE
CONTRIBUTING.md CONTRIBUTING.md

check:changelog: no
check:contributing: yes
check:license: yes
check:readme: yes
readme_lines: 207

Type safetyok

check:low_escape_density: yes
check:strict_config: no
escapes: 0
escapes_per_kloc: 0

Security

84 adequate

Security posture is adequate: 10 known vulnerabilities in 1 dependencies; 1 high-severity SAST findings. Weakest area: posture.

How the score is built

Secrets100
Static analysis (SAST)82
Vulnerable dependencies88
CI workflowsnot measured
Security posture40
OpenSSF Scorecardnot measured

Evidence by analyzer

OpenSSF Scorecardskipped

no published OpenSSF Scorecard result for this repo

Package registriesok

checked: 3
declared: 3
lookup_errors: 0
missing: 0
recent: 0

Secrets (gitleaks)ok

secrets_current: 0
secrets_history: 0
secrets_low_confidence: 0
secrets_nonprod: 0

Static analysis (opengrep)ok

findings: 2
findings_high: 1
findings_low: 1
findings_medium: 0
parse_errors: 0
scanned_lines: 1,549
weighted_findings: 0.90

Dependencies (osv-scanner)ok

penalty: 8
vulnerabilities: 10
vulnerable_packages: 1
vulns_critical: 0
vulns_high: 7
vulns_low: 0
vulns_medium: 3
vulns_unknown: 0

CI workflows (zizmor)skipped

Security postureok1 item

Security policy: SECURITY.md SECURITY.md

check:dependency_updates: no
check:lockfiles: yes
check:security_policy: yes
check:signed_commits: no
signed_commit_share: 11.6%
unpinned_manifests: 0

Release downloadsok

binary_assets: 0
signals: 0
suspicious: 0

Findings

10 high13 medium1 low

Severity	Rule	Location	Message	Tool
high	`opengrep/python.lang.best-practice.arbitrary-sleep`	01_generate_urls.py:13	time.sleep() call; did you mean to leave this in?	Lint
high	`opengrep/python.lang.best-practice.arbitrary-sleep`	05_upload_to_gee.py:80	time.sleep() call; did you mean to leave this in?	Lint
high	`opengrep/python.lang.security.audit.dangerous-subprocess-use-audit`	04_convert_zips.py:191	Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external...	Static analysis (opengrep)
high	`osv/GHSA-2xpw-w6gg-jr37`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-1994, GHSA-2xpw-w6gg-jr37	Dependencies (osv-scanner)
high	`osv/GHSA-38jv-5279-wg99`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-1996, GHSA-38jv-5279-wg99	Dependencies (osv-scanner)
high	`osv/GHSA-8988-9cw3-xx77`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-4175, GHSA-8988-9cw3-xx77	Dependencies (osv-scanner)
high	`osv/GHSA-gm62-xv2j-4w53`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-1998, GHSA-gm62-xv2j-4w53	Dependencies (osv-scanner)
high	`osv/GHSA-qccp-gfcp-xxvc`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-141, GHSA-qccp-gfcp-xxvc	Dependencies (osv-scanner)
high	`osv/GHSA-v845-jxx5-vc9f`	requirements.txt	[email protected] (PyPI) is affected by GHSA-v845-jxx5-vc9f	Dependencies (osv-scanner)
high	`osv/GHSA-vxq7-64xx-v4gw`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-4177, GHSA-vxq7-64xx-v4gw	Dependencies (osv-scanner)
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	01_generate_urls.py:106	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	01_generate_urls.py:121	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	01_generate_urls.py:21	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	01_generate_urls.py:73	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	01_generate_urls.py:89	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	02_check_urls.py:145	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	02_check_urls.py:156	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.maintainability.return-not-in-function`	02_check_urls.py:36	`return` only makes sense inside a function	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	03_download_zips.py:179	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`opengrep/python.lang.best-practice.unspecified-open-encoding`	05_upload_to_gee.py:114	Missing 'encoding' parameter. 'open()' uses device locale encodings by default, corrupting files with special characters. Specify the encoding to ensure cross-platform support when opening files in text mode (e.g. encoding="utf-8").	Lint
medium	`osv/GHSA-34jh-p97f-mpxf`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-1995, GHSA-34jh-p97f-mpxf	Dependencies (osv-scanner)
medium	`osv/GHSA-g4mx-q9vg-27p4`	requirements.txt	[email protected] (PyPI) is affected by GHSA-g4mx-q9vg-27p4	Dependencies (osv-scanner)
medium	`osv/GHSA-pq67-6m6q-mj2v`	requirements.txt	[email protected] (PyPI) is affected by PYSEC-2026-1999, GHSA-pq67-6m6q-mj2v	Dependencies (osv-scanner)
low	`opengrep/python.lang.security.audit.insecure-transport.requests.request-session-with-http`	03_download_zips.py:66	Detected a request using 'http://'. This request will be unencrypted. Use 'https://' instead. [confidence medium]	Static analysis (opengrep)

Tools and coverage

Every analyzer that ran on this commit. A failed or skipped tool is a coverage gap: its share of the score is left out and the coverage figure drops.

Analyzer	Pillar	Status	Version	Findings	Note
AI tool configuration	AI provenance	ok	`signatures-v1`	0
Explicit AI attribution	AI provenance	ok	`signatures-v1`	0
Release velocity	AI provenance	skipped	`—`	0
Coding style	AI provenance	ok	`—`	0
Commit velocity	AI provenance	ok	`prov-4`	0
Findings in AI-written lines	AI provenance	ok	`git-blame`	0
Complexity (lizard)	Code quality	ok	`lizard 1.25.1`	0
Documentation	Code quality	ok	`—`	0
Duplication (jscpd)	Code quality	ok	`repotrust-dup-w6`	0
Lint	Code quality	ok	`opengrep 1.33.1; rules f1d2b562b414`	12
Tests and CI	Code quality	ok	`—`	0
Type safety	Code quality	ok	`—`	0
CI workflows (zizmor)	Security	skipped	`—`	0
Dependencies (osv-scanner)	Security	ok	`osv-scanner version: 2.7.1`	10
Release downloads	Security	ok	`—`	0
Security posture	Security	ok	`—`	0
Package registries	Security	ok	`—`	0
Static analysis (opengrep)	Security	ok	`opengrep 1.33.1; rules f1d2b562b414`	2
OpenSSF Scorecard	Security	skipped	`—`	0	no published OpenSSF Scorecard result for this repo
Secrets (gitleaks)	Security	ok	`gitleaks 8.30.1`	0

Score history

Scores from different scoring versions aren't directly comparable.

Scored	Commit	Scoring	AI provenance	Quality	Security
2026-11-14	`f8622dcc4633`	`prov-5+qual-2+sec-2`	73%	35	84
2026-11-14	`f8622dcc4633`	`prov-4+qual-2+sec-2`	73%	35	84

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Maintainers can show these in a README. Badges update when the repository is re-scored.

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Full text report

Repository: https://github.com/noahweidig/tiger-roads-scraper
Commit: f8622dcc4633b6e1a4f41a5a7e8f446269c831a3
Generated: 2026-11-14T14:52:06+00:00
Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2

Scores

Unreviewed AI code risk: a large share of this code is explicitly AI-attributed, and its tests or review process are weak while quality or security scores are low.

Pillar	Score	Signal	Confidence	Coverage
AI provenance (estimated AI-generated share)	73	explicit	81%	100%
Code quality	35	poor	90%	100%
Security	84	adequate	85%	100%

AI provenance

Explicit AI attribution on 73% of first-party code added; an estimated 73% including velocity signals.

Explicitly attributed share (lower bound): 73.3%
Unattributed share in AI-consistent velocity bursts: 0.0%
Estimated AI-generated share: 73.3%

AI tool	Attributed commits	Lines added
Claude Code	22	1,567

AI tooling configured in repo: generic-agent

Current source lines last changed by AI-attributed commits: 1,248 of 1,549.

Too few lines in one group to compare finding densities.

Month	Lines added	Attributed to AI
2026-05	614	18%
2026-06	631	97%
2026-08	892	94%
2026-10	2	100%

Evidence

Claude Code: author email [email protected] (f8622dcc4633)
Claude Code: author email [email protected] (7ab320c42071)
Claude Code: author email [email protected] (eabd76e65f60)
Claude Code: author email [email protected] (e9428b112d02)
Claude Code: author email [email protected] (ed8382a86db2)
Claude Code: author email [email protected] (e0803164b852)
Claude Code: author email [email protected] (12fac25c1d17)
Claude Code: author email [email protected] (7773df78e040)
Claude Code: author email [email protected] (f9abe9f9f2fc)
Claude Code: author email [email protected] (d212aef88add)
Claude Code: author email [email protected] (fc29b23e54a8)
Claude Code: author email [email protected] (ebeff5adc186)
Claude Code: author email [email protected] (6a325d37dffc)
Claude Code: author email [email protected] (aa945f08902a)
Claude Code: author email [email protected] (13ab3f542d4f)

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 36% of function code in complex or long functions; 2% duplicated lines. Weakest area: testing.

Area	Score
Complexity (lizard)	34
Duplication	89
Code smells (Opengrep)	8
Tests and CI	0
Documentation	80
Type safety	40
Process (Scorecard review/maintenance)	n/a

Functions: 51; mean complexity 6.8, 90th percentile 14; 4 complex and 0 long functions
Duplicated lines: 1.9% of 1,240 compared
Tests: 0 test lines for 1,549 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
Docs missing or thin: changelog

Most complex functions:

Security

Security posture is adequate: 10 known vulnerabilities in 1 dependencies; 1 high-severity SAST findings. Weakest area: posture.

Area	Score
Secrets (gitleaks, tree + history)	100
Static analysis (Opengrep)	82
Vulnerable dependencies (OSV)	88
CI workflows (zizmor)	n/a
Posture (policy, updates, signing, lockfiles)	40
OpenSSF Scorecard	n/a

Known vulnerabilities: 10 in 1 packages (critical 0, high 7, medium 3, low 0)
Posture checks passed: security policy, lockfiles; missing: dependency updates, signed commits

Top findings

Severity	Finding	Location
high	`opengrep/python.lang.security.audit.dangerous-subprocess-use-audit`: Detected subprocess function 'run' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'. [confidence low]	04_convert_zips.py:191
high	`osv/GHSA-qccp-gfcp-xxvc`: [email protected] (PyPI) is affected by PYSEC-2026-141, GHSA-qccp-gfcp-xxvc	requirements.txt
high	`osv/GHSA-2xpw-w6gg-jr37`: [email protected] (PyPI) is affected by PYSEC-2026-1994, GHSA-2xpw-w6gg-jr37	requirements.txt
high	`osv/GHSA-38jv-5279-wg99`: [email protected] (PyPI) is affected by PYSEC-2026-1996, GHSA-38jv-5279-wg99	requirements.txt
high	`osv/GHSA-gm62-xv2j-4w53`: [email protected] (PyPI) is affected by PYSEC-2026-1998, GHSA-gm62-xv2j-4w53	requirements.txt
high	`osv/GHSA-8988-9cw3-xx77`: [email protected] (PyPI) is affected by PYSEC-2026-4175, GHSA-8988-9cw3-xx77	requirements.txt
high	`osv/GHSA-vxq7-64xx-v4gw`: [email protected] (PyPI) is affected by PYSEC-2026-4177, GHSA-vxq7-64xx-v4gw	requirements.txt
high	`osv/GHSA-v845-jxx5-vc9f`: [email protected] (PyPI) is affected by GHSA-v845-jxx5-vc9f	requirements.txt
medium	`osv/GHSA-34jh-p97f-mpxf`: [email protected] (PyPI) is affected by PYSEC-2026-1995, GHSA-34jh-p97f-mpxf	requirements.txt
medium	`osv/GHSA-pq67-6m6q-mj2v`: [email protected] (PyPI) is affected by PYSEC-2026-1999, GHSA-pq67-6m6q-mj2v	requirements.txt
medium	`osv/GHSA-g4mx-q9vg-27p4`: [email protected] (PyPI) is affected by GHSA-g4mx-q9vg-27p4	requirements.txt
low	`opengrep/python.lang.security.audit.insecure-transport.requests.request-session-with-http`: Detected a request using 'http://'. This request will be unencrypted. Use 'https://' instead. [confidence medium]	03_download_zips.py:66

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Repository profile

Source lines: 1,549; test lines: 0

Language	Lines
Python	1,549