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.
Sign up free Scan another repo

Oleg339/crypto-monitor

https://github.com/Oleg339/crypto-monitor · scanned 2026-06-16 04:35 UTC (1 month, 3 weeks ago)

16 raw signals (0 security + 16 graph)

File as issue Image
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 3 weeks ago · v1 · 11 actionable findings from 1 signal source. 5 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
82.5
/100
Security checks
83
0 findings
System graph
83
66.7% cov · 11 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 0 Medium 3 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 11 Crowd 0 Layer: Hardware 3 Security 1 Quality 7

All 71 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.

LabelLayerStatusPath
parse_fixation software healthy scrape_fixations.py:19
main software healthy scrape_fixations.py:67
max_consec_losses software healthy montecarlo.py:56
percentile software healthy montecarlo.py:187
is_regular_signal software healthy scrape_signals.py:20
parse_signal software healthy scrape_signals.py:36
g software healthy scrape_signals.py:37
resolve_group software healthy scrape_signals.py:86
find_topic_id software healthy scrape_signals.py:97
main software healthy scrape_signals.py:118
get software healthy analyze_losses.py:19
kline software healthy analyze_losses.py:26
btc_3d_change software healthy analyze_losses.py:36
ma200_distance software healthy analyze_losses.py:49
funding_rate software healthy analyze_losses.py:61
ls_ratio software healthy analyze_losses.py:76
load_signals software healthy analyze_losses.py:98
main software healthy analyze_losses.py:119
f software healthy analyze_losses.py:151
fp software healthy analyze_losses.py:152
avg software healthy analyze_losses.py:160
get software healthy filter_backtest.py:64
kline_closes software healthy filter_backtest.py:71
fetch_ma200_dist software healthy filter_backtest.py:79
fetch_ls_ratio software healthy filter_backtest.py:89
load_cache software healthy filter_backtest.py:108
save_cache software healthy filter_backtest.py:114
get_metrics software healthy filter_backtest.py:118
portfolio_sim software healthy filter_backtest.py:163
parse_dt software healthy filter_backtest.py:195
run_filter software healthy filter_backtest.py:199
main software healthy filter_backtest.py:242
fA software healthy filter_backtest.py:275
fB software healthy filter_backtest.py:279
fC software healthy filter_backtest.py:283
baseline software healthy filter_backtest.py:284

LabelLayerStatusPath
.env.example software healthy .env.example
go.mod software healthy go.mod
demo_parser.sh software healthy demo_parser.sh
scrape_fixations.py software healthy scrape_fixations.py
montecarlo.py software healthy montecarlo.py
PARSER_SUMMARY.md software healthy PARSER_SUMMARY.md
PARSER_TESTING.md software healthy PARSER_TESTING.md
docker-compose.yml software healthy docker-compose.yml
scrape_signals.py software healthy scrape_signals.py
analyze_losses.py software healthy analyze_losses.py
Dockerfile software healthy Dockerfile
convert_session.py software healthy convert_session.py
filter_backtest.py software healthy filter_backtest.py

LabelLayerStatusPath
image::Dockerfile hardware healthy Dockerfile
timescaledb hardware healthy docker-compose.yml
redis hardware healthy docker-compose.yml
tradebot hardware healthy docker-compose.yml
collector hardware healthy docker-compose.yml
analyzer hardware healthy docker-compose.yml
alerter hardware healthy docker-compose.yml
webapp hardware healthy docker-compose.yml
cloudflared hardware healthy docker-compose.yml

LabelLayerStatusPath
127.0.0.1 network healthy docker-compose.yml
149.154.167.51 network healthy convert_session.py
149.154.167.41 network healthy convert_session.py
149.154.167.91 network healthy convert_session.py
91.108.56.130 network healthy convert_session.py

LabelLayerStatusPath
postgresql data healthy .env.example
postgres data healthy .env.example
redis data healthy .env.example
sqlite data healthy convert_session.py

LabelLayerStatusPath
port:5432 network healthy docker-compose.yml
port:6379 network healthy docker-compose.yml
port:8081 network healthy docker-compose.yml

LabelLayerStatusPath
Oleg339__crypto-monitor software healthy /data/fable5_failed_archive/Oleg339__crypto-monitor
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/0a51c2fa-9ef0-45c5-88f1-9421b069e793/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/0a51c2fa-9ef0-45c5-88f1-9421b069e793/

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.