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sharkdp/bat

https://github.com/sharkdp/bat · scanned 2026-06-04 22:46 UTC (10 hours, 25 minutes ago) · 10 languages

242 findings (170 legacy + 72 scanner) 80th percentile · Rust · medium (20-100K LoC) Scanner says 78 (lower by 3)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 10 hours, 22 minutes ago · v2 · 206 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 50.8 0.25 12.70
testing_score 85.0 0.20 17.00
documentation_score 98.0 0.15 14.70
practices_score 81.0 0.15 12.15
code_quality 64.5 0.10 6.45
Overall 1.00 75.7
Severity distribution — click a segment to filter
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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.

Fragile runtime 60 findings
What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.
Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.
How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.
Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).
12 matching findings on this repo
  • low Generated build artifact directory is present at repository root build:1
  • info [MINED043] Http Not Https: Hardcoded http:// (not localhost) for endpoints that… src/less.rs:48
  • info [MINED043] Http Not Https: Hardcoded http:// (not localhost) for endpoints that… src/assets/build_assets/acknowledgements.rs:96
  • info [MINED059] Rust Expect In Prod: .expect(...) panics same as unwrap with a custo… src/output.rs:36
  • info [MINED059] Rust Expect In Prod: .expect(...) panics same as unwrap with a custo… src/assets/build_assets/acknowledgements.rs:137
  • info [MINED059] Rust Expect In Prod: .expect(...) panics same as unwrap with a custo… src/assets/assets_metadata.rs:69
  • high [MINED003] Rust Unwrap In Prod: .unwrap() panics if None/Err. Acceptable in tes… examples/cat.rs:12
  • high [MINED003] Rust Unwrap In Prod: .unwrap() panics if None/Err. Acceptable in tes… examples/buffer.rs:19
  • high [MINED003] Rust Unwrap In Prod: .unwrap() panics if None/Err. Acceptable in tes… examples/advanced.rs:17
  • high `self.three` used but never assigned in __init__ tests/benchmarks/highlighting-speed-src/numpy_tes…:274
  • high `self.three` used but never assigned in __init__ tests/benchmarks/highlighting-speed-src/numpy_tes…:268
  • high `self.two` used but never assigned in __init__ tests/benchmarks/highlighting-speed-src/numpy_tes…:267
View all fragile runtime findings →
Legacy markers 3 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.
3 matching findings on this repo
  • low Legacy-named symbol `root_old` in tests/syntax-tests/compare_highlighted_versio…
  • low Legacy-named symbol `test_copy` in tests/benchmarks/highlighting-speed-src/nump…
  • low Legacy-named symbol `pdataOld` in tests/benchmarks/highlighting-speed-src/jquer…
View all legacy markers findings →
Commented-out code 3 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/`.
3 matching findings on this repo
  • info Commented-code block (5 lines) in tests/benchmarks/highlighting-speed-src/numpy…
  • info Commented-code block (7 lines) in tests/benchmarks/highlighting-speed-src/jquer…
  • info Commented-code block (6 lines) in tests/scripts/find-slow-to-highlight-files.py…
View all commented-out code findings →
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