earendil-works/pi

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33 of your 122 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 5.56s · analysis 31.72s · 14.2 MB · GitHub API rate-limit (preflight)

https://github.com/earendil-works/pi · scanned 2026-06-05 09:45 UTC (5 days, 17 hours ago) · 10 languages

461 raw signals (111 security + 350 graph) 62nd percentile · Typescript · large (100-500K LoC) System graph score 76 (higher by 2)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 17 hours ago · v2 · 214 actionable findings from 2 signal sources. 72 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 165 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	80.0	0.25	20.00
`testing_score`	95.0	0.20	19.00
`documentation_score`	77.6	0.15	11.64
`practices_score`	91.0	0.15	13.65
`code_quality`	45.7	0.10	4.57
Overall		1.00	77.9

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 1 High 8 Medium 19 Low 137 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 49 System graph 165 Crowd 0 Layer: Quality 65 Security 6 Software 73 Cicd 4 Api 1 Frontend 65

Exclude dismissed / FP Exclude test files

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.

Commented-out code 23 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/`.

12 matching findings on this repo

info Commented-code block (5 lines) in packages/ai/test/tokens.test.ts:240
info Commented-code block (7 lines) in packages/ai/test/image-tool-result.test.ts:321
info Commented-code block (5 lines) in packages/ai/test/context-overflow.test.ts:351
info Commented-code block (7 lines) in packages/ai/test/openai-responses-reasoning-r…
info Commented-code block (6 lines) in packages/ai/test/anthropic-tool-name-normaliz…
info Commented-code block (6 lines) in packages/ai/scripts/generate-models.ts:987
info Commented-code block (7 lines) in packages/ai/src/env-api-keys.ts:187
info Commented-code block (5 lines) in packages/ai/src/providers/openai-completions.…
info Commented-code block (5 lines) in packages/ai/src/providers/transform-messages.…
info Commented-code block (6 lines) in packages/tui/test/editor.test.ts:3770
info Commented-code block (9 lines) in packages/tui/src/stdin-buffer.ts:208
info Commented-code block (7 lines) in packages/tui/src/keys.ts:588

View all commented-out code findings →

Config drift 5 findings

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.

5 matching findings on this repo

low File has no detected symbols: packages/ai/vitest.config.ts
low File has no detected symbols: packages/tui/vitest.config.ts
low File has no detected symbols: packages/agent/vitest.harness.config.ts
low File has no detected symbols: packages/agent/vitest.config.ts
low File has no detected symbols: packages/coding-agent/vitest.config.ts

View all config drift findings →

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