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duwqijlk/muse-protocol

muse.ai 注册与邀请码兑换协议研究(纯 HTTP Python 实现)

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  • Python
  • ★ 404
  • commit 0627944acf81
  • scored 2026-11-14
  • scoring prov-5+qual-2+sec-2

unreviewed-ai-risksuspicious-distribution

AI provenance

100%

explicit

Confidence
72%
Coverage
100%

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

Code quality

40/100

poor

Confidence
90%
Coverage
100%

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

Security

86/100

strong

Confidence
85%
Coverage
100%

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

AI provenance

100% explicit

Explicit AI attribution on 100% of first-party code added; an estimated 100% including velocity signals.

How the score is built

  • Explicitly attributed share100%
  • Unattributed share in AI-pace bursts0%
  • Estimated AI-generated share100%
  • AI tool configuration files0
  • Work sessions at AI pace0
  • Releases at AI pacenot measured
  • Coding-style index (1.0+ means possible)0.00

Attributed AI tools

ToolCommitsLines addedFirst seenLast seen
Claude Code26112026-11-142026-11-14

Lines added per month all AI-attributed share

  1. 2026-11611 · 100% AI

Findings in AI-attributed lines vs the rest

From git blame: 611 lines trace to AI-attributed commits, 0 to others. Too few lines in one group for a fair comparison. Reported, not scored.

Findings per 1,000 linesAI-attributedOtherRatio
Code quality8.18——
Security0.00——

Evidence by analyzer

Explicit AI attributionok3 items
attributed_commit_share
22.2%
attributed_commits
2
attributed_loc
611
attributed_loc_share
100.0%
commits
9
effective_loc
611
tools_detected
1
AI tool configurationok
artifacts
0
tools_configured
0
workflow_agents
0
Commit velocityok
excluded_import_loc
0
flagged_loc
0
flagged_loc_share
0.0%
flagged_units
0
max_loc_per_hour
152.75
measured_loc
611
median_loc_per_hour
152.75
pr_timed_units
0
pre_ai_era_burst_loc
0
pre_ai_era_bursts
0
pre_ai_era_measured_loc
0
work_units
1
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
611
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
611
blame_failures
0
files_blamed
4
other_lines
0
quality:ai_findings
5
quality:ai_per_kloc
8.18
quality:other_findings
0
security:ai_findings
0
security:ai_per_kloc
0
security:other_findings
0

Code quality

40 poor

Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 18% of function code in complex or long functions; 0% duplicated lines. Weakest area: testing.

How the score is built

  • Complexity58
  • Duplication100
  • Lint and smells4
  • Tests and CI0
  • Documentation65
  • Type safety40
  • Review processnot measured

Evidence by analyzer

Complexity (lizard)ok1 item
complex_functions
1
function_nloc
407
functions
40
long_functions
0
many_param_functions
0
mean_ccn
2.27
p90_ccn
3
risky_nloc_share
17.9%
Duplication (jscpd)ok
compared_lines
468
duplicated_lines
0
duplicated_share
0.0%
files
4
Lintok
category:best-practice
5
findings
5
scanned_lines
611
weighted_findings
13
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
1
cochange_share
0.0%
source_lines
611
test_lines
0
test_ratio
0
Documentationok2 items
  • README.md README.md
  • LICENSE LICENSE
check:changelog
no
check:contributing
no
check:license
yes
check:readme
yes
readme_lines
80
Type safetyok
check:low_escape_density
yes
check:strict_config
no
escapes
0
escapes_per_kloc
0

Security

86 strong

Security posture is strong: 1 known vulnerabilities in 1 dependencies. Weakest area: posture.

How the score is built

  • Secrets100
  • Static analysis (SAST)100
  • Vulnerable dependencies88
  • CI workflowsnot measured
  • Security posture20
  • OpenSSF Scorecardnot measured

Evidence by analyzer

OpenSSF Scorecardskipped

no published OpenSSF Scorecard result for this repo

Package registriesok
checked
1
declared
1
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
0
findings_high
0
findings_low
0
findings_medium
0
parse_errors
0
scanned_lines
611
weighted_findings
0
Dependencies (osv-scanner)ok
penalty
8
vulnerabilities
1
vulnerable_packages
1
vulns_critical
0
vulns_high
1
vulns_low
0
vulns_medium
0
vulns_unknown
0
CI workflows (zizmor)skipped
Security postureok
check:dependency_updates
no
check:lockfiles
yes
check:security_policy
no
check:signed_commits
yes
signed_commit_share
77.8%
unpinned_manifests
0
Release downloadsok2 items
  • links to file hosts or shorteners: t.me/ README.md
  • 404 stars in 1 days (404/day)
binary_assets
0
signals
2
suspicious
1

Findings

5 high1 medium

SeverityRuleLocationMessageTool
high opengrep/python.lang.best-practice.arbitrary-sleep example_register.py:43 time.sleep() call; did you mean to leave this in? Lint
high opengrep/python.lang.best-practice.arbitrary-sleep example_register.py:45 time.sleep() call; did you mean to leave this in? Lint
high opengrep/python.lang.best-practice.arbitrary-sleep example_register.py:67 time.sleep() call; did you mean to leave this in? Lint
high opengrep/python.lang.best-practice.arbitrary-sleep example_register.py:91 time.sleep() call; did you mean to leave this in? Lint
high osv/GHSA-qw2m-4pqf-rmpp requirements.txt [email protected] (PyPI) is affected by PYSEC-2026-2431, GHSA-qw2m-4pqf-rmpp Dependencies (osv-scanner)
medium opengrep/python.lang.best-practice.unspecified-open-encoding example_register.py:52 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

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.

AnalyzerPillarStatusVersionFindingsNote
AI tool configurationAI provenanceoksignatures-v10
Explicit AI attributionAI provenanceoksignatures-v10
Release velocityAI provenanceskipped—0
Coding styleAI provenanceok—0
Commit velocityAI provenanceokprov-50
Findings in AI-written linesAI provenanceokgit-blame0
Complexity (lizard)Code qualityoklizard 1.25.10
DocumentationCode qualityok—0
Duplication (jscpd)Code qualityokrepotrust-dup-w60
LintCode qualityokopengrep 1.33.1; rules f1d2b562b4145
Tests and CICode qualityok—0
Type safetyCode qualityok—0
CI workflows (zizmor)Securityskipped—0
Dependencies (osv-scanner)Securityokosv-scanner version: 2.7.11
Release downloadsSecurityok—0
Security postureSecurityok—0
Package registriesSecurityok—0
Static analysis (opengrep)Securityokopengrep 1.33.1; rules f1d2b562b4140
OpenSSF ScorecardSecurityskipped—0no published OpenSSF Scorecard result for this repo
Secrets (gitleaks)Securityokgitleaks 8.30.10

Score history

ScoredCommitScoringAI provenanceQualitySecurity
2026-11-140627944acf81prov-5+qual-2+sec-2100%4086

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Full text report

Scores

Caution: signals consistent with a malware lure. This repository appears to exist mainly to distribute a download (see Distribution signals below). Do not run its release files without independent verification.

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) 100 explicit 72% 100%
Code quality 40 poor 90% 100%
Security 86 strong 85% 100%

AI provenance

Explicit AI attribution on 100% of first-party code added; an estimated 100% including velocity signals.

  • Explicitly attributed share (lower bound): 100.0%
  • Unattributed share in AI-consistent velocity bursts: 0.0%
  • Estimated AI-generated share: 100.0%
AI tool Attributed commits Lines added
Claude Code 2 611

Current source lines last changed by AI-attributed commits: 611 of 611.

Too few lines in one group to compare finding densities.

Month Lines added Attributed to AI
2026-11 611 100%

Evidence

  • Claude Code: trailer 'Co-Authored-By: Claude' (c7177e075ccc)
  • Claude Code: trailer 'Co-Authored-By: Claude' (29f2af0098a6)

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; 18% of function code in complex or long functions; 0% duplicated lines. Weakest area: testing.

Area Score
Complexity (lizard) 58
Duplication 100
Code smells (Opengrep) 4
Tests and CI 0
Documentation 65
Type safety 40
Process (Scorecard review/maintenance) n/a
  • Functions: 40; mean complexity 2.3, 90th percentile 3; 1 complex and 0 long functions
  • Duplicated lines: 0.0% of 468 compared
  • Tests: 0 test lines for 611 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
  • Docs missing or thin: contributing, changelog

Most complex functions:

Security

Security posture is strong: 1 known vulnerabilities in 1 dependencies. Weakest area: posture.

Area Score
Secrets (gitleaks, tree + history) 100
Static analysis (Opengrep) 100
Vulnerable dependencies (OSV) 88
CI workflows (zizmor) n/a
Posture (policy, updates, signing, lockfiles) 20
OpenSSF Scorecard n/a
  • Known vulnerabilities: 1 in 1 packages (critical 0, high 1, medium 0, low 0)

  • Posture checks passed: signed commits, lockfiles; missing: security policy, dependency updates

Top findings

Severity Finding Location
high osv/GHSA-qw2m-4pqf-rmpp: [email protected] (PyPI) is affected by PYSEC-2026-2431, GHSA-qw2m-4pqf-rmpp requirements.txt

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.

Distribution signals

  • readme-download-lure: links to file hosts or shorteners: t.me/
  • star-burst: 404 stars in 1 days (404/day)

Signals consistent with a repository that exists to distribute a download. They are heuristics, not a verdict; release files were not downloaded or inspected.

Repository profile

  • Source lines: 611; test lines: 0
Language Lines
Python 611