centminmod/my-claude-code-setup
Shared starter template configuration and CLAUDE.md memory bank system for Claude Code
- Repository: https://github.com/centminmod/my-claude-code-setup
- Commit:
c0e75920b4552e3e3d2c6878fe7b13b049910d6b - Generated: 2026-11-14T00:02:47+00:00
- Scorer 0.1.0, scoring prov-4+qual-2+sec-2, report schema v2
Scores
| Pillar | Score | Signal | Confidence | Coverage |
|---|---|---|---|---|
| AI provenance (estimated AI-generated share) | 0 | possible | 65% | 100% |
| Code quality | 44 | poor | 90% | 100% |
| Security | 78 | adequate | 85% | 100% |
AI provenance
Weak signals consistent with AI-assisted development.
-
Explicitly attributed share (lower bound): 0.0%
-
Unattributed share in AI-consistent velocity bursts: 48.8%
-
Estimated AI-generated share: 0.0%
-
AI tooling configured in repo: claude-code
-
Stylometry index: 0.30 per 1,000 lines (narrated steps 5, placeholders 0, assistant phrasing 0, emoji 9). Reported as a signal, not scored.
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2026-03 | 1,974 | 0% |
| 2026-04 | 30,511 | 0% |
| 2026-05 | 26,746 | 0% |
| 2026-06 | 6,208 | 0% |
| 2026-07 | 704 | 0% |
| 2026-09 | 833 | 0% |
| 2026-10 | 96 | 0% |
| 2026-11 | 61 | 0% |
Evidence
- 11,186 lines of first-party code in ~4.0h (2,796 lines/hour, 1 commit session) (f49e7f1d4914)
- 10,220 lines of first-party code in ~5.0h (2,048 lines/hour, 3 commit session) (f69b1f922b1b)
- 6,499 lines of first-party code in ~3.7h (1,754 lines/hour, 1 commit session) (bf00e6a21868)
- .claude/agents/code-searcher.md (claude-code configuration) (.claude/agen)
- .claude/agents/codex-cli.md (claude-code configuration) (.claude/agen)
- .claude/agents/get-current-datetime.md (claude-code configuration) (.claude/agen)
- .claude/agents/memory-bank-synchronizer.md (claude-code configuration) (.claude/agen)
- .claude/agents/ux-design-expert.md (claude-code configuration) (.claude/agen)
- .claude/agents/zai-cli.md (claude-code configuration) (.claude/agen)
- .claude/commands/anthropic/apply-thinking-to.md (claude-code configuration) (.claude/comm)
- .claude/commands/anthropic/convert-to-todowrite-tasklist-prompt.md (claude-code configuration) (.claude/comm)
- .claude/commands/anthropic/update-memory-bank.md (claude-code configuration) (.claude/comm)
- .claude/commands/architecture/explain-architecture-pattern.md (claude-code configuration) (.claude/comm)
- .claude/commands/ccusage/ccusage-daily.md (claude-code configuration) (.claude/comm)
- .claude/commands/cleanup/cleanup-context.md (claude-code configuration) (.claude/comm)
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; 58% of function code in complex or long functions; 4% duplicated lines. Weakest area: testing.
| Area | Score |
|---|---|
| Complexity (lizard) | 17 |
| Duplication | 78 |
| Code smells (Opengrep) | 74 |
| Tests and CI | 10 |
| Documentation | 85 |
| Type safety | 40 |
| Process (Scorecard review/maintenance) | n/a |
- Functions: 574; mean complexity 9.4, 90th percentile 21; 90 complex and 39 long functions
- Duplicated lines: 4.0% of 27,012 compared
- Tests: 0 test lines for 31,612 source lines (ratio 0.00); CI test commands: none detected; 36% of recent source commits also change tests
- Docs missing or thin: contributing
Most complex functions:
- main in .claude/skills/ai-image-creator/scripts/generate-image.py: complexity 186, 556 lines
- render_html in .claude/skills/session-metrics/scripts/_html_sections.py: complexity 162, 983 lines
- render_md in .claude/skills/session-metrics/scripts/_md_render.py: complexity 142, 438 lines
- main in .claude/skills/session-metrics/scripts/_cli.py: complexity 76, 333 lines
- evaluate_triggers in .claude/skills/audit-session-metrics/scripts/audit-extract.py: complexity 70, 301 lines
Security
Security posture is adequate: 10 high-severity SAST findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 100 |
| Static analysis (Opengrep) | 88 |
| 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
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] |
.claude/hooks/unified_notifier.py:48 |
| 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] |
.claude/hooks/unified_notifier.py:65 |
| 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] |
.claude/skills/ai-image-creator/scripts/composite-banners.py:161 |
| 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] |
.claude/skills/ai-image-creator/scripts/composite-banners.py:213 |
| high | opengrep/python.lang.security.audit.dangerous-subprocess-use-audit: Detected subprocess function 'CompletedProcess' 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] |
.claude/skills/ai-image-creator/scripts/composite-banners.py:219 |
| 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] |
.claude/skills/ai-image-creator/scripts/composite-banners.py:236 |
| 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] |
.claude/skills/ai-image-creator/scripts/composite-banners.py:251 |
| 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] |
.claude/skills/ai-image-creator/scripts/generate-image.py:1621 |
| 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] |
.claude/skills/ai-image-creator/scripts/generate-image.py:1706 |
| 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] |
.claude/skills/ai-image-creator/scripts/generate-image.py:1841 |
| medium | opengrep/python.lang.security.audit.dynamic-urllib-use-detected: Detected a dynamic value being used with urllib. urllib supports 'file://' schemes, so a dynamic value controlled by a malicious actor may allow them to read arbitrary files. Audit uses of urllib calls to ensure user data cannot control the URLs, or consider using the 'requests' library instead. [confidence low] |
.claude/skills/ai-image-creator/scripts/generate-image.py:1235 |
| medium | opengrep/python.lang.security.insecure-hash-algorithm-sha1: Detected SHA1 hash algorithm which is considered insecure. SHA1 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead. [confidence medium] |
.claude/skills/session-metrics/scripts/_data.py:360 |
| medium | opengrep/python.lang.security.deserialization.avoid-pickle: Avoid using pickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format. [confidence low] |
.claude/skills/session-metrics/scripts/_data.py:394 |
| medium | opengrep/python.lang.security.deserialization.avoid-pickle: Avoid using pickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format. [confidence low] |
.claude/skills/session-metrics/scripts/_data.py:413 |
| medium | opengrep/python.lang.security.insecure-hash-algorithm-sha1: Detected SHA1 hash algorithm which is considered insecure. SHA1 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead. [confidence medium] |
.claude/skills/session-metrics/scripts/_data.py:427 |
| medium | opengrep/python.lang.security.insecure-hash-algorithm-sha1: Detected SHA1 hash algorithm which is considered insecure. SHA1 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead. [confidence medium] |
.claude/skills/session-metrics/scripts/_turn_parser.py:517 |
| medium | opengrep/python.lang.security.insecure-hash-algorithm-sha1: Detected SHA1 hash algorithm which is considered insecure. SHA1 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead. [confidence medium] |
.claude/skills/session-metrics/scripts/session_metrics_compare.py:157 |
| medium | opengrep/python.lang.security.audit.exec-detected: Detected the use of exec(). exec() can be dangerous if used to evaluate dynamic content. If this content can be input from outside the program, this may be a code injection vulnerability. Ensure evaluated content is not definable by external sources. [confidence low] |
.claude/skills/session-metrics/scripts/session_metrics_compare.py:1543 |
| low | opengrep/python.lang.security.use-defusedcsv: Detected the generation of a CSV file using the built-in csv module. If user data is used to generate the data in this file, it is possible that an attacker could inject a formula when the CSV is imported into a spreadsheet application that runs an attacker script, which could steal data from the [confidence low] |
.claude/skills/session-metrics/scripts/_dispatch.py:1298 |
| low | opengrep/python.lang.security.use-defusedcsv: Detected the generation of a CSV file using the built-in csv module. If user data is used to generate the data in this file, it is possible that an attacker could inject a formula when the CSV is imported into a spreadsheet application that runs an attacker script, which could steal data from the [confidence low] |
.claude/skills/session-metrics/scripts/_md_render.py:301 |
| low | opengrep/python.lang.security.use-defusedcsv: Detected the generation of a CSV file using the built-in csv module. If user data is used to generate the data in this file, it is possible that an attacker could inject a formula when the CSV is imported into a spreadsheet application that runs an attacker script, which could steal data from the [confidence low] |
.claude/skills/session-metrics/scripts/session_metrics_compare.py:2095 |
| low | opengrep/python.lang.security.use-defusedcsv: Detected the generation of a CSV file using the built-in csv module. If user data is used to generate the data in this file, it is possible that an attacker could inject a formula when the CSV is imported into a spreadsheet application that runs an attacker script, which could steal data from the [confidence low] |
.claude/skills/session-metrics/scripts/session_metrics_compare.py:2373 |
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: 31,612; test lines: 0
| Language | Lines |
|---|---|
| Python | 31,504 |
| Shell | 108 |