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DACN-1/MC-AI

https://github.com/DACN-1/MC-AI · scanned 2026-06-17 01:25 UTC (1 month, 2 weeks ago)

34 raw signals (0 security + 34 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -20.8 (diff) · 34 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
55.9
/100
Security checks
56
0 findings
System graph
56
55.6% cov · 34 findings
Critical
0
click to filter
Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 1 Medium 7 Low 20 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 34 Crowd 0 Layer: Software 12 Network 3 Hardware 2 Security 2 Quality 15
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Scan summary Repository scanned at 55.9/100 with 55.6% coverage. It contains 303 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 34 findings — concentrated in quality (15), software (12), network (3). Risk profile is high: 0 critical, 1 high, 7 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 28 of 34 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high System graph security security conf 1.00 Insecure pattern 'eval_used' in _grab_eval_frame.py:36
Found a known-risky pattern (eval_used). Review and replace if possible.
_grab_eval_frame.py:36 Eval used
medium System graph quality Agent instructions conf 1.00 Agent instructions exist but release-hardening basics are missing
AI-coder instruction files were found, but the repo is missing license, ci. Treat this as a contract gap: the agent is guided, but the generated output is not yet guarded by the controls that make it repeatable.
Repo hardeningGenerated repo pattern
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 hardware Security conf 1.00 Dockerfile runs as root: Dockerfile
No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.
Container
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 network Security conf 1.00 Privileged port 4 in use
Port 4 is privileged (<1024). Make sure the service runs with the right caps or front it with a non-privileged port via a load balancer.
slurm_train.sh Ports
medium System graph network Security conf 1.00 Privileged port 6 in use
Port 6 is privileged (<1024). Make sure the service runs with the right caps or front it with a non-privileged port via a load balancer.
slurm_train.sh Ports
medium System graph network Security conf 1.00 Privileged port 8 in use
Port 8 is privileged (<1024). Make sure the service runs with the right caps or front it with a non-privileged port via a load balancer.
slurm_clip_nomove.sh 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 quality Debug conf 1.00 Debug logging residue appears in source files
Found 221 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: ubuntu:22.04
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 Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: imitation_learning.py:evaluate_cached, imitation_learning.py:evaluate 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.
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 `test_camera_temperature_default_preserves_legacy` in tests/test_action_conversion.py:231
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_k0_is_legacy` in tests/test_frame_history.py:69
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: create_agent_handlers
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:142
low System graph software Dead code conf 1.00 Possibly dead Python function: create_rewardables
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:123
low System graph software Dead code conf 1.00 Possibly dead Python function: create_server_decorators
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:160
low System graph software Dead code conf 1.00 Possibly dead Python function: create_server_initial_conditions
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:163
low System graph software Dead code conf 1.00 Possibly dead Python function: create_server_quit_producers
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:154
low System graph software Dead code conf 1.00 Possibly dead Python function: create_server_world_generators
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:146
low System graph software Dead code conf 1.00 Possibly dead Python function: determine_success_from_rewards
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:173
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.
inference_server.py:62
low System graph software Dead code conf 1.00 Possibly dead Python function: do_POST
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
inference_server.py:70
low System graph software Dead code conf 1.00 Possibly dead Python function: is_from_folder
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:176
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.
inference_server.py:51
low System graph software Dead code conf 1.00 Possibly dead Python function: observation
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
eval_envs.py:311
low System graph quality Complexity conf 1.00 Very large file: imitation_learning.py (1609 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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