AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證Code package dependency analyzer
翻譯準備中
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Code deps health tracker.
Parses SemanticDB or jdeps output
into the codeps export format,
then emits a flat metrics report:
SCC facts with optional budgeted cut analysis, per-node exposed-surface metrics
(ports/mutPorts/exposure/dependentsPerPublicPort) and declaration-surface
encapsulation —
over the package graph, or the file graph of the packages you select.檢視完整 README ↗Code deps health tracker.
Parses SemanticDB or jdeps output
into the codeps export format,
then emits a flat metrics report:
SCC facts with optional budgeted cut analysis, per-node exposed-surface metrics
(ports/mutPorts/exposure/dependentsPerPublicPort) and declaration-surface
encapsulation —
over the package graph, or the file graph of the packages you select.
Your local build already produces everything codeps needs: a compiler with SemanticDB enabled emits
.semanticdb files alongside your compiled classes, and the JDK ships jdeps — codeps just reads
that existing output. No extra tooling to install.
Requires a JDK (11+).
# macOS or Linux (Homebrew)
brew install sake92/tap/codeps
# Scala: compile with SemanticDB enabled
scala-cli compile --server=false --semanticdb -d classes src/
# Configure codeps to read the compiler output, then analyze it
mkdir -p .codeps
cat > .codeps/config.yaml <<'EOF'
projects:
app:
root: .
source: semanticdb
inputs: [classes/META-INF/semanticdb]
skip-tests: true
EOF
codeps status
One status run writes package and file reports when the selected source
supplies file data. See the jdeps setup guide
for Java input.
For any other ecosystem, produce the codeps export format
with a tool of your choice (madge, pydeps, go list, ...), configure it as an
export source, then run status — codeps never parses that source code itself:
madge --json src | jq '... shape it into the codeps export format ...' > deps.json
cat > .codeps/config.yaml <<'EOF'
projects:
app:
root: .
source: export
inputs: [deps.json]
EOF
codeps status
The metrics are language-agnostic once the node/edge list carries per-node isExposed/ports/mutPorts
(see the metrics report) —
a TS/Python extractor only has to emit the same generic JSON shape.
Start with bounded findings from the latest cached report, then inspect selected subjects:
codeps findings --project app --limit 10 --format json
codeps inspect-cycle --project app --id scc:com.example.orders
codeps inspect-node --project app --id com.example.orders
Use ids returned by findings and preserve the selected project and scope. Check both
omitted and sourceFindingsOmitted before treating the selection as exhaustive.
The CLI reference covers finding
filters, file scope, and inspection. Cycle-cut analysis is available in the core library;
CLI reports have cutAnalysis.status: notRequested.
Developing codeps itself requires deder (brew install sake92/tap/deder):
deder exec -t test # run all tests
deder exec -t run -m cli status
The website is built with flatmark:
./scripts/build-docs.sh # outputs docs/_site/
Deployed to GitHub Pages on every push to main (see .github/workflows/ghpages.yml).