Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.

X-GenGroup/Flow-Factory

https://github.com/X-GenGroup/Flow-Factory · scanned 2026-06-16 01:01 UTC (2 months, 1 week ago)

82 raw signals (0 security + 82 graph)

File as issue Image

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 64 actionable findings from 1 signal source. 18 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON

88.9% cov · 64 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 0 Medium 9 Low 35 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 64 Crowd 0 Layer: Software 9 Hardware 3 Frontend 1 Security 1 Cicd 1 Quality 48 Api 1

Exclude dismissed / FP Exclude test files

All 1964 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

Label	Layer	Status	Path
`__init__`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:66`
`create`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:54`
`__aenter__`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:69`
`__aexit__`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:72`
`fake_openai`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:81`
`_accelerator_stub`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:97`
`_config`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:101`
`_make_qwen`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:116`
`_make_t2i`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:122`
`_make_edit`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:128`
`_make_vllm`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:134`
`_img`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:148`
`_call`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:152`
`test_no_loop_bound_state_cached_on_instance`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:164`
`test_sequential_calls_use_independent_loops`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:173`
`test_concurrent_thread_pool_calls`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:184`
`process_geneval`	software	healthy	`scripts/convert_geneval_dataset.py:26`
`main`	software	healthy	`scripts/convert_geneval_dataset.py:60`
`_b64_to_image`	software	healthy	`reward_server/example_server.py:53`
`_parse_request`	software	healthy	`reward_server/example_server.py:58`
`__init__`	software	healthy	`reward_server/example_server.py:176`
`compute_reward`	software	healthy	`reward_server/example_server.py:182`
`run`	software	healthy	`reward_server/example_server.py:133`
`health`	software	healthy	`reward_server/example_server.py:138`
`compute`	software	healthy	`reward_server/example_server.py:142`
`__init__`	software	healthy	`dataset/sudoku/generate_dataset.py:14`
`_is_valid`	software	healthy	`dataset/sudoku/generate_dataset.py:25`
`_solve`	software	healthy	`dataset/sudoku/generate_dataset.py:37`
`_count_solutions`	software	healthy	`dataset/sudoku/generate_dataset.py:52`
`backtrack`	software	healthy	`dataset/sudoku/generate_dataset.py:80`
`find_all_solutions`	software	healthy	`dataset/sudoku/generate_dataset.py:73`
`generate`	software	healthy	`dataset/sudoku/generate_dataset.py:97`
`render`	software	healthy	`dataset/sudoku/generate_dataset.py:129`
`_init_ocr`	software	healthy	`dataset/sudoku/generate_dataset.py:163`
`_crop_cell`	software	healthy	`dataset/sudoku/generate_dataset.py:168`
`_parse_cell`	software	healthy	`dataset/sudoku/generate_dataset.py:177`
`parse`	software	healthy	`dataset/sudoku/generate_dataset.py:205`
`encode`	software	healthy	`dataset/sudoku/generate_dataset.py:237`
`decode`	software	healthy	`dataset/sudoku/generate_dataset.py:240`
`is_valid_solution`	software	healthy	`dataset/sudoku/generate_dataset.py:245`
`_is_compatible`	software	healthy	`dataset/sudoku/generate_dataset.py:260`
`evaluate`	software	healthy	`dataset/sudoku/generate_dataset.py:267`
`generate_dataset`	software	healthy	`dataset/sudoku/generate_dataset.py:367`
`write_full_jsonl`	software	healthy	`dataset/sudoku/generate_dataset.py:443`
`main`	software	healthy	`dataset/qwen_image_bench/prepare.py:45`
`parse_args`	software	healthy	`src/flow_factory/train.py:26`
`main`	software	healthy	`src/flow_factory/train.py:33`
`resolve_multinode_env`	software	healthy	`src/flow_factory/cli.py:32`
`get_gpu_count`	software	healthy	`src/flow_factory/cli.py:73`
`parse_args`	software	healthy	`src/flow_factory/cli.py:81`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`README.md`	software	healthy	`README.md`
`CLAUDE.md`	software	healthy	`CLAUDE.md`
`pyproject.toml`	software	healthy	`pyproject.toml`
`LICENSE`	software	healthy	`LICENSE`
`AGENTS.md`	software	healthy	`AGENTS.md`
`CHANGELOG.md`	software	healthy	`CHANGELOG.md`
`README.md`	software	healthy	`docker/README.md`
`Dockerfile`	software	healthy	`docker/docker-cuda/Dockerfile`
`fsdp_full_shard.yaml`	software	healthy	`config/accelerate_configs/fsdp_full_shard.yaml`
`fsdp2.yaml`	software	healthy	`config/accelerate_configs/fsdp2.yaml`
`multi_node.yaml`	software	healthy	`config/accelerate_configs/multi_node.yaml`
`fsdp_grad_op_shard.yaml`	software	healthy	`config/accelerate_configs/fsdp_grad_op_shard.yaml`
`multi_gpu.yaml`	software	healthy	`config/accelerate_configs/multi_gpu.yaml`
`deepspeed_zero3.yaml`	software	healthy	`config/deepspeed/deepspeed_zero3.yaml`
`deepspeed_zero2_offparam.yaml`	software	healthy	`config/deepspeed/deepspeed_zero2_offparam.yaml`
`deepspeed_zero2.yaml`	software	healthy	`config/deepspeed/deepspeed_zero2.yaml`
`deepspeed_zero1.yaml`	software	healthy	`config/deepspeed/deepspeed_zero1.yaml`
`test_async_reward_event_loop.py`	software	healthy	`tests/rewards/test_async_reward_event_loop.py`
`convert_geneval_dataset.py`	software	healthy	`scripts/convert_geneval_dataset.py`
`start_vllm_qwen_image_bench.sh`	software	healthy	`scripts/start_vllm_qwen_image_bench.sh`
`start_vllm_rational_reward.sh`	software	healthy	`scripts/start_vllm_rational_reward.sh`
`install_geneval_deps.sh`	software	healthy	`scripts/install_geneval_deps.sh`
`launch_multinode.sh`	software	healthy	`multinode_examples/launch_multinode.sh`
`README.md`	software	healthy	`multinode_examples/README.md`
`fsdp2_wan.yaml`	software	healthy	`multinode_examples/fsdp2_wan.yaml`
`train.yaml`	software	healthy	`multinode_examples/train.yaml`
`settings.json`	software	healthy	`.claude/settings.json`
`README.md`	software	healthy	`examples/README.md`
`geneval2_single.yaml`	software	healthy	`examples/dppo/lora/flux2_klein_base/geneval2_single.yaml`
`geneval2_multi.yaml`	software	healthy	`examples/dppo/lora/flux2_klein_base/geneval2_multi.yaml`
`geneval2_single.yaml`	software	healthy	`examples/dppo/lora/sd3_5/geneval2_single.yaml`
`geneval2_multi.yaml`	software	healthy	`examples/dppo/lora/sd3_5/geneval2_multi.yaml`
`default.yaml`	software	healthy	`examples/dpo/lora/sd3_5/default.yaml`
`default.yaml`	software	healthy	`examples/awm/lora/flux1/default.yaml`
`default.yaml`	software	healthy	`examples/awm/lora/flux2_klein_base/default.yaml`
`default.yaml`	software	healthy	`examples/awm/lora/sd3_5/default.yaml`
`default.yaml`	software	healthy	`examples/crd/lora/sd3_5/default.yaml`
`default.yaml`	software	healthy	`examples/dgpo/lora/sd3_5/default.yaml`
`nocfg.yaml`	software	healthy	`examples/dgpo/lora/sd3_5/nocfg.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/z_image/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/flux1/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/flux2_klein_base/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/z_image_turbo/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/sd3_5/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/qwen_image_edit_plus/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/flux2_klein/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/bagel/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/flux1_kontext/default.yaml`
`default.yaml`	software	healthy	`examples/grpo/full/qwen_image/default.yaml`
`t2v.yaml`	software	healthy	`examples/grpo/full/wan21/t2v.yaml`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`_FakeChoice`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:42`
`_FakeCompletion`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:48`
`_FakeCompletions`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:53`
`FakeAsyncOpenAI`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:63`
`_FakeTransportError`	software	healthy	`tests/rewards/test_async_reward_event_loop.py:76`
`RewardServer`	software	healthy	`reward_server/example_server.py:86`
`MyRewardServer`	software	healthy	`reward_server/example_server.py:163`
`SudokuProcessor`	software	healthy	`dataset/sudoku/generate_dataset.py:13`
`NamedParametersInfo`	software	healthy	`src/flow_factory/models/abc.py:94`
`BaseAdapter`	software	healthy	`src/flow_factory/models/abc.py:99`
`ZImageSample`	software	healthy	`src/flow_factory/models/z_image/z_image.py:52`
`ZImageAdapter`	software	healthy	`src/flow_factory/models/z_image/z_image.py:57`
`SD3_5Sample`	software	healthy	`src/flow_factory/models/stable_diffusion/sd3_5.py:51`
`SD3_5Adapter`	software	healthy	`src/flow_factory/models/stable_diffusion/sd3_5.py:60`
`Flux1KontextSample`	software	healthy	`src/flow_factory/models/flux/flux1_kontext.py:84`
`Flux1KontextAdapter`	software	healthy	`src/flow_factory/models/flux/flux1_kontext.py:123`
`Flux2KleinSample`	software	healthy	`src/flow_factory/models/flux/flux2_klein.py:62`
`Flux2KleinAdapter`	software	healthy	`src/flow_factory/models/flux/flux2_klein.py:76`
`Flux2Sample`	software	healthy	`src/flow_factory/models/flux/flux2.py:62`
`Flux2Adapter`	software	healthy	`src/flow_factory/models/flux/flux2.py:75`
`Flux1Sample`	software	healthy	`src/flow_factory/models/flux/flux1.py:53`
`Flux1Adapter`	software	healthy	`src/flow_factory/models/flux/flux1.py:62`
`WanT2VSample`	software	healthy	`src/flow_factory/models/wan/wan2_t2v.py:49`
`Wan2_T2V_Adapter`	software	healthy	`src/flow_factory/models/wan/wan2_t2v.py:53`
`WanV2VSample`	software	healthy	`src/flow_factory/models/wan/wan2_v2v.py:67`
`Wan2_V2V_Adapter`	software	healthy	`src/flow_factory/models/wan/wan2_v2v.py:71`
`WanI2VSample`	software	healthy	`src/flow_factory/models/wan/wan2_i2v.py:57`
`Wan2_I2V_Adapter`	software	healthy	`src/flow_factory/models/wan/wan2_i2v.py:77`
`BagelSample`	software	healthy	`src/flow_factory/models/bagel/bagel.py:132`
`BagelI2ISample`	software	healthy	`src/flow_factory/models/bagel/bagel.py:150`
`BagelAdapter`	software	healthy	`src/flow_factory/models/bagel/bagel.py:170`
`BagelPseudoPipeline`	software	healthy	`src/flow_factory/models/bagel/pipeline.py:92`
`AutoEncoderParams`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:21`
`AttnBlock`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:38`
`ResnetBlock`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:68`
`Downsample`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:98`
`Upsample`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:111`
`Encoder`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:122`
`Decoder`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:196`
`DiagonalGaussian`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:275`
`AutoEncoder`	software	healthy	`src/flow_factory/models/bagel/modeling/autoencoder.py:290`
`SiglipVisionConfig`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`RotaryEmbedding2D`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipVisionEmbeddings`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipFlashAttention2`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipMLP`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipEncoderLayer`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipEncoder`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipVisionTransformer`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`
`SiglipVisionModel`	software	healthy	`src/flow_factory/models/bagel/modeling/bagel/siglip_navit.p…`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`docker`	software	healthy	`docker`
`docker-cuda`	software	healthy	`docker/docker-cuda`
`config`	software	healthy	`config`
`accelerate_configs`	software	healthy	`config/accelerate_configs`
`deepspeed`	software	healthy	`config/deepspeed`
`tests`	software	healthy	`tests`
`rewards`	software	healthy	`tests/rewards`
`scripts`	software	healthy	`scripts`
`multinode_examples`	software	healthy	`multinode_examples`
`.claude`	software	healthy	`.claude`
`examples`	software	healthy	`examples`
`dppo`	software	healthy	`examples/dppo`
`lora`	software	healthy	`examples/dppo/lora`
`flux2_klein_base`	software	healthy	`examples/dppo/lora/flux2_klein_base`
`sd3_5`	software	healthy	`examples/dppo/lora/sd3_5`
`dpo`	software	healthy	`examples/dpo`
`lora`	software	healthy	`examples/dpo/lora`
`sd3_5`	software	healthy	`examples/dpo/lora/sd3_5`
`awm`	software	healthy	`examples/awm`
`lora`	software	healthy	`examples/awm/lora`
`flux1`	software	healthy	`examples/awm/lora/flux1`
`flux2_klein_base`	software	healthy	`examples/awm/lora/flux2_klein_base`
`sd3_5`	software	healthy	`examples/awm/lora/sd3_5`
`crd`	software	healthy	`examples/crd`
`lora`	software	healthy	`examples/crd/lora`
`sd3_5`	software	healthy	`examples/crd/lora/sd3_5`
`dgpo`	software	healthy	`examples/dgpo`
`lora`	software	healthy	`examples/dgpo/lora`
`sd3_5`	software	healthy	`examples/dgpo/lora/sd3_5`
`grpo`	software	healthy	`examples/grpo`
`full`	software	healthy	`examples/grpo/full`
`z_image`	software	healthy	`examples/grpo/full/z_image`
`flux1`	software	healthy	`examples/grpo/full/flux1`
`flux2_klein_base`	software	healthy	`examples/grpo/full/flux2_klein_base`
`z_image_turbo`	software	healthy	`examples/grpo/full/z_image_turbo`
`sd3_5`	software	healthy	`examples/grpo/full/sd3_5`
`qwen_image_edit_plus`	software	healthy	`examples/grpo/full/qwen_image_edit_plus`
`flux2_klein`	software	healthy	`examples/grpo/full/flux2_klein`
`bagel`	software	healthy	`examples/grpo/full/bagel`
`flux1_kontext`	software	healthy	`examples/grpo/full/flux1_kontext`
`qwen_image`	software	healthy	`examples/grpo/full/qwen_image`
`wan21`	software	healthy	`examples/grpo/full/wan21`
`wan22`	software	healthy	`examples/grpo/full/wan22`
`flux2`	software	healthy	`examples/grpo/full/flux2`
`lora`	software	healthy	`examples/grpo/lora`
`z_image`	software	healthy	`examples/grpo/lora/z_image`
`flux1`	software	healthy	`examples/grpo/lora/flux1`
`flux2_klein_base`	software	healthy	`examples/grpo/lora/flux2_klein_base`
`z_image_turbo`	software	healthy	`examples/grpo/lora/z_image_turbo`
`sd3_5`	software	healthy	`examples/grpo/lora/sd3_5`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`10.82.139.22`	network	healthy	`config/accelerate_configs/multi_node.yaml`
`10.0.0.1`	network	healthy	`multinode_examples/README.md`
`127.0.0.1`	network	healthy	`examples/nft/lora/flux1/rational_rewards_t2i.yaml`

Label	Layer	Status	Path
`GET /health`	api	healthy	`reward_server/example_server.py`
`POST /compute`	api	healthy	`reward_server/example_server.py`

Label	Layer	Status	Path
`repobility-clone-zkte2w1v`	software	healthy	`/tmp/repobility-clone-zkte2w1v`

Label	Layer	Status	Path
`image::docker/docker-cuda/Dockerfile`	hardware	healthy	`docker/docker-cuda/Dockerfile`

Label	Layer	Status	Path
`gpu (detected)`	hardware	healthy	`README.md`

Label	Layer	Status	Path
`vps::azure`	hardware	healthy	`dataset/pickscore/test.txt`

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

For AI agents + API integrations

Email me when this repo regresses

Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.

API access

This page is publicly accessible at: https://repobility.com/scan/8389299d-3305-4e5f-8339-5b79bf78e4c9/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/8389299d-3305-4e5f-8339-5b79bf78e4c9/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.

X-GenGroup/Flow-Factory

Complete repo analysis

function 50+

file 50+

class 50+

directory 50+

service 3

endpoint 2

repo 1

container 1

gpu 1

vps 1