Leaderboard github.com
koth/kcws
Deep Learning Chinese Word Segment
AI provenance
0%
none-detected
- Confidence
- 59%
- Coverage
- 100%
Estimated share of AI-generated code. Explicit attribution is a lower bound.
Code quality
26/100
poor
- Confidence
- 90%
- Coverage
- 100%
Complexity, duplication, lint density, tests, CI, docs and review process.
Security
79/100
adequate
- Confidence
- 85%
- Coverage
- 100%
Secrets, static analysis, vulnerable dependencies, CI and supply-chain posture.
AI provenance
0% none-detected
No AI attribution or AI-consistent velocity signals detected.
How the score is built
- Explicitly attributed share0%
- Unattributed share in AI-pace bursts0%
- Estimated AI-generated share0%
- AI tool configuration files0
- Work sessions at AI pace0
- Releases at AI pacenot measured
- Coding-style index (1.0+ means possible)0.00
Lines added per month all AI-attributed share
- 2016-114,963 · 0% AI
- 2016-12914 · 0% AI
- 2017-0128 · 0% AI
- 2017-021,633 · 0% AI
- 2017-033 · 0% AI
- 2017-04599 · 0% AI
- 2017-050 · 0% AI
- 2017-060 · 0% AI
- 2017-07246 · 0% AI
- 2017-08286 · 0% AI
- 2017-09135 · 0% AI
- 2017-113 · 0% AI
- 2017-122 · 0% AI
Evidence by analyzer
Explicit AI attributionok
- attributed_commit_share
- 0.0%
- attributed_commits
- 0
- attributed_loc
- 0
- attributed_loc_share
- 0.0%
- commits
- 77
- effective_loc
- 8,812
- tools_detected
- 0
AI tool configurationok
- artifacts
- 0
- tools_configured
- 0
- workflow_agents
- 0
Commit velocityok
- excluded_import_loc
- 4,204
- flagged_loc
- 0
- flagged_loc_share
- 0.0%
- flagged_units
- 0
- max_loc_per_hour
- 408.25
- measured_loc
- 4,608
- median_loc_per_hour
- 68
- pr_timed_units
- 0
- pre_ai_era_burst_loc
- 0
- pre_ai_era_bursts
- 0
- pre_ai_era_measured_loc
- 4,608
- work_units
- 21
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
- 7,122
- per_kloc:assistant_voice
- 0
- per_kloc:emoji_in_code
- 0
- per_kloc:narrated_steps
- 0
- per_kloc:placeholder
- 0
Code quality
26 poor
Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 15% of function code in complex or long functions; 22% duplicated lines. Weakest area: testing.
How the score is built
- Complexity65
- Duplication27
- Lint and smells4
- Tests and CI0
- Documentation40
- Type safety40
- Review processnot measured
Evidence by analyzer
Complexity (lizard)ok10 items
- jsonxx::parse_string in utils/jsonxx.cc: complexity 24, 67 lines
- jsonxx::parse_identifier in utils/jsonxx.cc: complexity 23, 34 lines
- jsonxx::xml::open_tag in utils/jsonxx.cc: complexity 22, 51 lines
- kcws::TfSegModel::Segment in kcws/cc/tf_seg_model.cc: complexity 19, 93 lines
- BasicStringUtil::TrimString in utils/basic_string_util.h: complexity 19, 30 lines
- utils::Word2vecVocab::Load in utils/word2vec_vob.cc: complexity 19, 82 lines
- processLine in kcws/train/generate_pos_train.py: complexity 18, 48 lines
- BasicStringUtil::StripString in utils/basic_string_util.h: complexity 18, 27 lines
- BasicStringUtil::StripStringASCIIWhole in utils/basic_string_util.h: complexity 17, 26 lines
- processLine in kcws/train/generate_training.py: complexity 16, 42 lines
- complex_functions
- 15
- function_nloc
- 4,786
- functions
- 302
- long_functions
- 0
- many_param_functions
- 4
- mean_ccn
- 4.35
- p90_ccn
- 11
- risky_nloc_share
- 14.6%
Duplication (jscpd)ok10 items
- 6+ duplicated lines: kcws/cc/gen_seg_eval.cc:30 and kcws/cc/test_seg.cc:31
- 6+ duplicated lines: kcws/cc/gen_seg_eval.cc:40 and kcws/cc/pos_tagger.cc:30
- 6+ duplicated lines: kcws/cc/pos_tagger.cc:25 and kcws/cc/pos_tagger.cc:99
- 6+ duplicated lines: kcws/cc/pos_tagger.cc:51 and kcws/cc/tf_seg_model.cc:162
- 6+ duplicated lines: kcws/cc/tf_seg_model.cc:157 and kcws/cc/tf_seg_model.cc:200
- 6+ duplicated lines: kcws/cc/viterbi_decode.cc:14 and kcws/cc/viterbi_decode.h:25
- 6+ duplicated lines: kcws/cc/viterbi_decode.cc:15 and kcws/cc/viterbi_decode.cc:50
- 6+ duplicated lines: kcws/train/bilstm.py:44 and kcws/train/train_pos.py:161
- 6+ duplicated lines: kcws/train/generate_char_embedding.py:13 and kcws/train/process_icwb.py:29
- 6+ duplicated lines: kcws/train/generate_pos_train.py:74 and kcws/train/generate_training.py:20
- compared_lines
- 5,475
- duplicated_lines
- 1,190
- duplicated_share
- 21.7%
- files
- 51
Lintok
- category:best-practice
- 58
- category:correctness
- 2
- category:maintainability
- 1
- findings
- 61
- scanned_lines
- 7,122
- weighted_findings
- 95.50
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
- 25
- cochange_share
- 0.0%
- source_lines
- 7,122
- 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
- 59
Type safetyok
- check:low_escape_density
- yes
- check:strict_config
- no
- escapes
- 0
- escapes_per_kloc
- 0
Security
79 adequate
Security posture is adequate: no high-impact findings. Weakest area: posture.
How the score is built
- Secrets94
- 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
- 2
- secrets_nonprod
- 0
Static analysis (opengrep)ok
- findings
- 0
- findings_high
- 0
- findings_low
- 0
- findings_medium
- 0
- parse_errors
- 1
- scanned_lines
- 7,122
- 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 downloadsok1 item
- binary_assets
- 1
- signals
- 1
- suspicious
- 0
Findings
18 high41 medium4 low
63 findings
| Severity | Rule | Location | Message | Tool |
|---|---|---|---|---|
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/cc/prepare_test_file.py:15 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/cc/prepare_test_file.py:16 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/filter_sentence.py:19 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/filter_sentence.py:20 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/generate_char_embedding.py:64 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/generate_char_embedding.py:65 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/generate_pos_train.py:148 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/merge_vec.py:13 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/merge_vec.py:14 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/process_icwb.py:77 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/process_icwb.py:78 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/process_people.py:83 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/process_people.py:84 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/sampling_for_train.py:14 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/sampling_for_train.py:15 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/sampling_for_train.py:16 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/stats_pos.py:93 | file object opened without corresponding close | Lint |
| high | opengrep/python.lang.best-practice.open-never-closed |
kcws/train/train_embedding.py:184 | file object opened without corresponding close | Lint |
| medium | opengrep/python.lang.best-practice.unspecified-open-encoding |
kcws/cc/prepare_test_file.py:15 | 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 |
kcws/cc/prepare_test_file.py:16 | 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 |
kcws/train/filter_sentence.py:15 | 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 |
kcws/train/filter_sentence.py:19 | 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 |
kcws/train/filter_sentence.py:20 | 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 |
kcws/train/generate_char_embedding.py:64 | 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 |
kcws/train/generate_char_embedding.py:65 | 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 |
kcws/train/generate_pos_train.py:148 | 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 |
kcws/train/generate_pos_train.py:176 | 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 |
kcws/train/generate_pos_train.py:183 | 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 |
kcws/train/generate_train_free.py:67 | 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 |
kcws/train/generate_train_free.py:68 | 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 |
kcws/train/generate_training.py:113 | 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 |
kcws/train/generate_training.py:120 | 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 |
kcws/train/merge_vec.py:13 | 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 |
kcws/train/merge_vec.py:14 | 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 |
kcws/train/merge_vec.py:15 | 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 |
kcws/train/prepare_pos.py:83 | 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 |
kcws/train/prepare_pos.py:90 | 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 |
kcws/train/process_anno_file.py:92 | 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 |
kcws/train/process_anno_file.py:99 | 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 |
kcws/train/process_icwb.py:77 | 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 |
kcws/train/process_icwb.py:78 | 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 |
kcws/train/process_people.py:83 | 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 |
kcws/train/process_people.py:84 | 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 |
kcws/train/replace_unk.py:13 | 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 |
kcws/train/replace_unk.py:14 | 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 |
kcws/train/replace_unk.py:15 | 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 |
kcws/train/sampling_for_train.py:14 | 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 |
kcws/train/sampling_for_train.py:15 | 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 |
kcws/train/sampling_for_train.py:16 | 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 |
kcws/train/stats_pos.py:92 | 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 |
kcws/train/stats_pos.py:93 | 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 |
kcws/train/stats_pos.py:99 | 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 |
kcws/train/train_cws.py:115 | 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 |
kcws/train/train_cws.py:41 | 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 |
kcws/train/train_embedding.py:184 | 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 |
kcws/train/train_embedding.py:36 | 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 |
kcws/train/train_pos.py:192 | 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 |
kcws/train/train_pos.py:45 | 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 |
tools/freeze_graph.py:139 | `return` only makes sense inside a function | Lint |
| low | opengrep/bash.lang.correctness.unquoted-command-substitution-in-command |
util/python/python_config.sh:25 | The result of command substitution $(...) or `...`, if unquoted, is split on whitespace or other separators specified by the IFS variable. You should surround it with double quotes to avoid splitting the result. | Lint |
| low | opengrep/bash.lang.correctness.unquoted-command-substitution-in-command |
util/python/python_config.sh:25 | The result of command substitution $(...) or `...`, if unquoted, is split on whitespace or other separators specified by the IFS variable. You should surround it with double quotes to avoid splitting the result. | Lint |
| low | gitleaks/generic-api-key |
third_party/crow/amalgamate/crow_all.h:6453 | Possible generic-api-key secret in the current tree | Secrets (gitleaks) |
| low | gitleaks/generic-api-key |
third_party/crow/include/crow/websocket.h:44 | Possible generic-api-key secret in the current tree | Secrets (gitleaks) |
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 | |
| 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 | 61 | |
| Tests and CI | Code quality | ok | — | 0 | |
| Type safety | Code quality | ok | — | 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 | 2 |
Score history
Scores from different scoring versions aren't directly comparable.
| Scored | Commit | Scoring | AI provenance | Quality | Security |
|---|---|---|---|---|---|
| 2026-11-14 | 88efbd36a702 | prov-5+qual-2+sec-2 | 0% | 26 | 79 |
| 2026-11-14 | 88efbd36a702 | prov-4+qual-2+sec-2 | 0% | 26 | 79 |
Full text report
- Repository: https://github.com/koth/kcws
- Commit:
88efbd36a7022de4e6e90f5a1fb880cf87cfae9f - Generated: 2026-11-14T14:52:05+00:00
- Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2
Scores
| Pillar | Score | Signal | Confidence | Coverage |
|---|---|---|---|---|
| AI provenance (estimated AI-generated share) | 0 | none-detected | 59% | 100% |
| Code quality | 26 | poor | 90% | 100% |
| Security | 79 | adequate | 85% | 100% |
AI provenance
No AI attribution or AI-consistent velocity signals detected.
- Explicitly attributed share (lower bound): 0.0%
- Unattributed share in AI-consistent velocity bursts: 0.0%
- Estimated AI-generated share: 0.0%
| Month | Lines added | Attributed to AI |
|---|---|---|
| 2016-11 | 4,963 | 0% |
| 2016-12 | 914 | 0% |
| 2017-01 | 28 | 0% |
| 2017-02 | 1,633 | 0% |
| 2017-03 | 3 | 0% |
| 2017-04 | 599 | 0% |
| 2017-07 | 246 | 0% |
| 2017-08 | 286 | 0% |
| 2017-09 | 135 | 0% |
| 2017-11 | 3 | 0% |
| 2017-12 | 2 | 0% |
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; 15% of function code in complex or long functions; 22% duplicated lines. Weakest area: testing.
| Area | Score |
|---|---|
| Complexity (lizard) | 65 |
| Duplication | 27 |
| Code smells (Opengrep) | 4 |
| Tests and CI | 0 |
| Documentation | 40 |
| Type safety | 40 |
| Process (Scorecard review/maintenance) | n/a |
- Functions: 302; mean complexity 4.3, 90th percentile 11; 15 complex and 0 long functions
- Duplicated lines: 21.7% of 5,475 compared
- Tests: 0 test lines for 7,122 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
Most complex functions:
- jsonxx::parse_string in utils/jsonxx.cc: complexity 24, 67 lines
- jsonxx::parse_identifier in utils/jsonxx.cc: complexity 23, 34 lines
- jsonxx::xml::open_tag in utils/jsonxx.cc: complexity 22, 51 lines
- kcws::TfSegModel::Segment in kcws/cc/tf_seg_model.cc: complexity 19, 93 lines
- BasicStringUtil::TrimString in utils/basic_string_util.h: complexity 19, 30 lines
Security
Security posture is adequate: no high-impact findings. Weakest area: posture.
| Area | Score |
|---|---|
| Secrets (gitleaks, tree + history) | 94 |
| 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
Top findings
| Severity | Finding | Location |
|---|---|---|
| low | gitleaks/generic-api-key: Possible generic-api-key secret in the current tree |
third_party/crow/include/crow/websocket.h:44 |
| low | gitleaks/generic-api-key: Possible generic-api-key secret in the current tree |
third_party/crow/amalgamate/crow_all.h:6453 |
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
- binary-release-asset: release test ships tf_dist_1.3_171213.zip (68 downloads)
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: 7,122; test lines: 0
| Language | Lines |
|---|---|
| C++ | 2,975 |
| Python | 2,496 |
| C | 1,538 |
| Shell | 113 |