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.
39 of your 111 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 4.66s · analysis 7.28s · 10.5 MB · GitHub API rate-limit (preflight)

sibidharan/zealphp

https://github.com/sibidharan/zealphp · scanned 2026-06-05 15:05 UTC (5 days, 2 hours ago) · 10 languages

202 raw signals (100 security + 102 graph) 57th percentile · Php · large (100-500K LoC) System graph score 76 (lower by 4)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 2 hours ago · v2 · 93 actionable findings from 2 signal sources. 58 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 65.0 0.15 9.75
security_score 44.3 0.25 11.07
testing_score 85.0 0.20 17.00
documentation_score 97.8 0.15 14.67
practices_score 91.0 0.15 13.65
code_quality 56.5 0.10 5.65
Overall 1.00 71.8
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 1 finding
What it is: Same function copy-pasted into multiple modules with minor variations.
Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.
How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.
Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.
1 matching finding on this repo
  • low Near-duplicate function bodies in 2 places repo-level
View all duplicates & near-duplicates findings →
Legacy markers 2 findings
What it is: TODO, FIXME, XXX, HACK comments. Often indicate a known-broken path the author meant to fix.
Why it matters: Each marker is an unfinished thought. Production code shouldn't ship with debt that's documented but not tracked.
How AI causes it: AI mirrors the style of the codebase, so existing TODOs propagate into new code.
Fix approach: Convert each into a ticket. Delete the comment when the ticket lands. Use a pre-commit hook to block new TODOs without an issue link.
2 matching findings on this repo
  • medium `fetch()` without try/.catch or AbortSignal — public/js/pages/legacy-apps.js:63
  • high Dangling fetch: POST /api/convert (public/js/pages/legacy-apps.js:63)
View all legacy markers findings →
Commented-out code 6 findings
What it is: Lines of source that were intentionally disabled but never deleted.
Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.
How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.
Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.
6 matching findings on this repo
  • info Commented-code block (8 lines) in bench/tail/tail_bench.py:220
  • info Commented-code block (10 lines) in public/js/site-nav.js:140
  • info Commented-code block (5 lines) in public/js/demo-shell.js:8
  • info Commented-code block (5 lines) in public/js/learn-demo-viewers.js:104
  • info Commented-code block (8 lines) in public/js/learn-tictactoe.js:1
  • info Commented-code block (8 lines) in labs-bench/tail_bench.py:220
View all commented-out code findings →
Config drift 1 finding
What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.
Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.
How AI causes it: AI writes new config from memory rather than reading the existing source.
Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.
1 matching finding on this repo
  • low Very large file: examples/agents/config_converter.py (2976 lines)
View all config drift findings →
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/e4dc0a0f-1ff8-4e8d-be22-c8d2e5e3c6a1/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/e4dc0a0f-1ff8-4e8d-be22-c8d2e5e3c6a1/

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.