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yanromano/hl-allocator

https://github.com/yanromano/hl-allocator · scanned 2026-06-16 01:04 UTC (2 months, 1 week ago)

45 raw signals (0 security + 45 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 44 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
91.3
/100
Security checks
91
0 findings
System graph
91
77.8% cov · 44 findings
Critical
0
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Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 5 Low 24 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 44 Crowd 0 Layer: Software 3 Network 1 Hardware 2 Frontend 1 Security 1 Cicd 1 Quality 35
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Scan summary Repository scanned at 91.3/100 with 77.8% coverage. It contains 1956 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 45 findings — concentrated in quality (36), software (3), hardware (2). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 29 of 44 actionable findings. 45 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data
A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.
Mock dataCritical flowGenerated repo pattern
medium System graph security Coverage conf 1.00 No auth library detected
The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.
auth
medium System graph cicd CI/CD security conf 1.00 No CI/CD pipelines detected
No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.
CI/CD securityCoverage
medium System graph quality Placeholder conf 1.00 Placeholder or mock-heavy implementation detected
Found 13 placeholder/mock markers across 10 source files. This often means the repo looks complete while core flows still use generated scaffolding or fake data.
Mock dataIncompleteGenerated repo pattern
medium System graph network Security conf 1.00 Privileged port 15 in use
Port 15 is privileged (<1024). Make sure the service runs with the right caps or front it with a non-privileged port via a load balancer.
automation.example.yaml Ports
low System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: license, ci. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.
Repo hardeningGenerated repo pattern
low System graph hardware Coverage conf 1.00 Containers defined but no K8s/orchestration manifest found
Repo has Dockerfiles/compose but no Kubernetes/Nomad manifests. If the target deployment is K8s, the manifests may live in a separate ops repo.
Deployment
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 56 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.
CleanupRepo hardeningGenerated repo pattern
low System graph hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: python:3.14-slim
Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.
Dockerfile:1 containersPinned dependencies
low System graph quality Integrity conf 1.00 2 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: automation/scripts/position_health.py:main, automation/scripts/leverage_guard.py:main This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separate.
2 occurrences
repo-level (2 hits)
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 3 places
Functions with the same first-5-line body hash: automation/core/secrets.py:load_agent_key, automation/core/secrets.py:load_agent_key, automation/core/secrets.py:load_agent_key This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consoli…
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 4 places
Functions with the same first-5-line body hash: automation/reporting/alerts.py:emit, automation/reporting/alerts.py:emit, automation/reporting/alerts.py:emit, automation/reporting/alerts.py:emit This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-cod…
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 6 places
Functions with the same first-5-line body hash: automation/core/secrets.py:get, automation/core/secrets.py:get, automation/core/secrets.py:get, automation/core/secrets.py:get This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolid…
duplicatesduplication
low System graph quality License conf 1.00 No license file detected
No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.
Repo hardeningGenerated repo pattern
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `model_copy` in automation/core/config.py:543
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `model_copy` in automation/runtime/intent_ledger.py:151
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `model_copy` in automation/tests/test_rebalance.py:2552
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `model_copy` in automation/tests/test_rebalance_sleeves.py:179
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `test_rejects_clock_skew_too_old` in automation/tests/test_remote_signal.py:460
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph software Dead code conf 1.00 Possibly dead Python function: do_GET
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
automation/runtime/health.py:61
low System graph software Dead code conf 1.00 Possibly dead Python function: fills_since
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
automation/core/hl_client.py:907
low System graph software Dead code conf 1.00 Possibly dead Python function: log_message
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
automation/runtime/health.py:72
low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence
The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.
Git historyGenerated repo pattern
low System graph quality Integrity conf 1.00 Stub function `log_message` (body is just `pass`/`return`) — automation/runtime/health.py:72
Likely an AI scaffold that was never filled in. Remove or implement.
Empty handlerDead code
low System graph quality Complexity conf 1.00 Very large file: automation/runtime/daemon.py (1331 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
low System graph quality Complexity conf 1.00 Very large file: automation/runtime/rebalance.py (1378 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
low System graph quality Complexity conf 1.00 Very large file: automation/tests/test_daemon.py (2903 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
low System graph quality Complexity conf 1.00 Very large file: automation/tests/test_executor.py (1966 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
low System graph quality Complexity conf 1.00 Very large file: automation/tests/test_rebalance.py (2576 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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