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Tabdhsan/earshot
The old centered macOS volume pop-up, on the screen you're actually looking at
unreviewed-ai-risk
AI provenance
100%
explicit
- Confidence
- 70%
- Coverage
- 100%
Estimated share of AI-generated code. Explicit attribution is a lower bound.
Code quality
64/100
weak
- Confidence
- 90%
- Coverage
- 100%
Complexity, duplication, lint density, tests, CI, docs and review process.
Security
82/100
adequate
- 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
| Tool | Commits | Lines added | First seen | Last seen |
|---|---|---|---|---|
| Claude Code | 2 | 361 | 2026-11-11 | 2026-11-12 |
Lines added per month all AI-attributed share
- 2026-11361 · 100% AI
Findings in AI-attributed lines vs the rest
From git blame: 360 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 lines | AI-attributed | Other | Ratio |
|---|---|---|---|
| Code quality | 0.00 | — | — |
| Security | 0.00 | — | — |
Evidence by analyzer
Explicit AI attributionok3 items
- Claude Code: 2 attributed commits, 361 lines added
- Claude Code: trailer 'Co-Authored-By: Claude'
- Claude Code: trailer 'Co-Authored-By: Claude'
- attributed_commit_share
- 100.0%
- attributed_commits
- 2
- attributed_loc
- 361
- attributed_loc_share
- 100.0%
- commits
- 2
- effective_loc
- 361
- 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
- 89.75
- measured_loc
- 361
- median_loc_per_hour
- 89.75
- pr_timed_units
- 0
- pre_ai_era_burst_loc
- 0
- pre_ai_era_bursts
- 0
- pre_ai_era_measured_loc
- 0
- work_units
- 2
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
- 360
- 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
- 360
- blame_failures
- 0
- files_blamed
- 3
- other_lines
- 0
- quality:ai_findings
- 0
- quality:ai_per_kloc
- 0
- quality:other_findings
- 0
- security:ai_findings
- 0
- security:ai_per_kloc
- 0
- security:other_findings
- 0
Code quality
64 weak
Code quality is weak: test-to-source ratio 0.00, no CI test run detected; 0% of function code in complex or long functions; 0% duplicated lines. Weakest area: testing.
How the score is built
- Complexity100
- Duplication100
- Lint and smells100
- Tests and CI0
- Documentation40
- Type safetynot measured
- Review processnot measured
Evidence by analyzer
Complexity (lizard)ok
- complex_functions
- 0
- function_nloc
- 229
- functions
- 20
- long_functions
- 0
- many_param_functions
- 0
- mean_ccn
- 3.15
- p90_ccn
- 9
- risky_nloc_share
- 0.0%
Duplication (jscpd)ok
- compared_lines
- 266
- duplicated_lines
- 0
- duplicated_share
- 0.0%
- files
- 3
Lintok
- findings
- 0
- scanned_lines
- 360
- weighted_findings
- 0
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
- 2
- cochange_share
- 0.0%
- source_lines
- 360
- test_lines
- 0
- test_ratio
- 0
Documentationok1 item
- README.md
README.md
- check:changelog
- no
- check:contributing
- no
- check:license
- no
- check:readme
- yes
- readme_lines
- 25
Type safetyskipped
Security
82 adequate
Security posture is adequate: no high-impact findings. Weakest area: posture.
How the score is built
- Secrets100
- Static analysis (SAST)100
- Vulnerable dependenciesnot measured
- CI workflowsnot measured
- Security posture0
- OpenSSF Scorecardnot measured
Evidence by analyzer
OpenSSF Scorecardskipped
no published OpenSSF Scorecard result for this repo
Package registriesskipped
no registry dependencies declared
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
- 360
- weighted_findings
- 0
Dependencies (osv-scanner)skipped
CI workflows (zizmor)skipped
Security postureok
- check:dependency_updates
- no
- check:lockfiles
- yes
- check:security_policy
- no
- check:signed_commits
- no
- signed_commit_share
- 0.0%
- unpinned_manifests
- 0
Release downloadsok
- binary_assets
- 0
- signals
- 0
- suspicious
- 0
Findings
No line-level findings.
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 | 0 | |
| Tests and CI | Code quality | ok | — | 0 | |
| Type safety | Code quality | skipped | — | 0 | |
| CI workflows (zizmor) | Security | skipped | — | 0 | |
| Dependencies (osv-scanner) | Security | skipped | — | 0 | |
| Release downloads | Security | ok | — | 0 | |
| Security posture | Security | ok | — | 0 | |
| Package registries | Security | skipped | — | 0 | no registry dependencies declared |
| Static analysis (opengrep) | Security | ok | opengrep 1.33.1; rules f1d2b562b414 | 0 | |
| 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 | 07de3323a7f1 | prov-5+qual-2+sec-2 | 100% | 64 | 82 |
| 2026-11-14 | 07de3323a7f1 | prov-4+qual-2+sec-2 | 100% | 64 | 82 |
Full text report
- Repository: https://github.com/Tabdhsan/earshot
- Commit:
07de3323a7f1f0452c8d1fe33993927ac1093821 - Generated: 2026-11-14T14:52:01+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) | 100 | explicit | 70% | 100% |
| Code quality | 64 | weak | 90% | 100% |
| Security | 82 | adequate | 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 | 361 |
Current source lines last changed by AI-attributed commits: 360 of 360.
Too few lines in one group to compare finding densities.
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2026-11 | 361 | 100% |
Evidence
- Claude Code: trailer 'Co-Authored-By: Claude' (07de3323a7f1)
- Claude Code: trailer 'Co-Authored-By: Claude' (67e58435b6a9)
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 weak: test-to-source ratio 0.00, no CI test run detected; 0% of function code in complex or long functions; 0% duplicated lines. Weakest area: testing.
| Area | Score |
|---|---|
| Complexity (lizard) | 100 |
| Duplication | 100 |
| Code smells (Opengrep) | 100 |
| Tests and CI | 0 |
| Documentation | 40 |
| Type safety | n/a |
| Process (Scorecard review/maintenance) | n/a |
- Functions: 20; mean complexity 3.1, 90th percentile 9; 0 complex and 0 long functions
- Duplicated lines: 0.0% of 266 compared
- Tests: 0 test lines for 360 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
- Docs missing or thin: license, contributing, changelog
Security
Security posture is adequate: no high-impact findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 100 |
| Static analysis (Opengrep) | 100 |
| Vulnerable dependencies (OSV) | n/a |
| CI workflows (zizmor) | n/a |
| Posture (policy, updates, signing, lockfiles) | 0 |
| OpenSSF Scorecard | n/a |
- Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits
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: 360; test lines: 0
| Language | Lines |
|---|---|
| Swift | 339 |
| Shell | 21 |