agentforce314/clawcodex

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https://github.com/agentforce314/clawcodex · scanned 2026-05-31 01:23 UTC (5 days, 9 hours ago) · 10 languages

597 findings (163 legacy + 434 scanner) 57th percentile · Python · large (100-500K LoC) Scanner says 93 (lower by 18)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 9 hours ago · v2 · last Δ +1.1 (diff) · 415 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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100.0% cov · 252 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	85.0	0.15	12.75
`security_score`	70.0	0.25	17.50
`testing_score`	100.0	0.20	20.00
`documentation_score`	100.0	0.15	15.00
`practices_score`	44.0	0.15	6.60
`code_quality`	38.1	0.10	3.81
Overall		1.00	75.7

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 113 Medium 19 Low 109 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 163 9-layer 252 Crowd 0 Layer: Security 14 Software 42 Quality 357 Api 1 Cicd 1

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.

Fragile runtime 148 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

medium [SEC136] AI-typical over-broad exception handler swallowing all errors: Catch-a… src/services/mcp/xaa_idp_login.py:142
medium [SEC136] AI-typical over-broad exception handler swallowing all errors: Catch-a… src/services/compact/post_compact_attachments.py:252
medium [SEC136] AI-typical over-broad exception handler swallowing all errors: Catch-a… src/config.py:246
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … src/auth/gemini.py:28
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … src/auth/aws.py:55
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … src/auth/auth.py:85
medium [COMP001] High cognitive complexity: Function `main` has cognitive complexity 1… eval/_clear_infra_errors.py:38
medium [SEC134] AI scaffold leftover — Lorem ipsum / example.com / John Doe in code: L… demos/crm-app/src/context/CRMContext.jsx:7
medium [SEC087] JS: weak Math.random for crypto: Math.random() is not cryptographicall… demos/minecraft-app/src/utils/terrain.js:86
medium [SEC087] JS: weak Math.random for crypto: Math.random() is not cryptographicall… demos/adopt-me-app/src/pages/Trade.jsx:31
medium Agent auto-approve or skip-permissions mode is easy to enable src/entrypoints/headless.py:18
medium Bare except continues silently src/tool_system/renderers.py:95

View all fragile runtime findings →

Legacy markers 30 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.

12 matching findings on this repo

low Legacy-named symbol `test_canonical_takes_precedence_over_legacy` in tests/test…
low Legacy-named symbol `tasks_v2` in tests/test_tool_classifier_input.py:20
low Legacy-named symbol `tasks_v2` in tests/test_tool_system_tools.py:662
low Legacy-named symbol `is_deprecated` in tests/test_model_system.py:74
low Legacy-named symbol `tasks_v2` in tests/test_task_output_polling.py:23
low Legacy-named symbol `test_set_then_get_returns_copy` in tests/test_bootstrap_st…
low Legacy-named symbol `test_get_prompt_cache_1h_allowlist_returns_copy` in tests/…
low Legacy-named symbol `test_get_returns_copy` in tests/test_skills_bundled.py:72
low Legacy-named symbol `alpha_v2` in tests/test_at_file_completer.py:479
low Legacy-named symbol `test_coalesce_none_base_returns_overlay_copy` in tests/tra…
low Legacy-named symbol `tasks_v2` in tests/tasks/test_local_agent_migration.py:102
low Legacy-named symbol `use_ccr_v2` in tests/bridge/test_repl_bridge.py:173

View all legacy markers findings →

Commented-out code 147 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 tests/test_provider_abort_signal.py:162
info Commented-code block (5 lines) in tests/test_advisor_orphan_pairing.py:115
info Commented-code block (5 lines) in tests/test_api_preconnect.py:144
info Commented-code block (5 lines) in tests/test_api_errors.py:269
info Commented-code block (6 lines) in tests/test_repl.py:303
info Commented-code block (5 lines) in tests/test_pricing_status_bar.py:73
info Commented-code block (5 lines) in tests/test_tool_classifier_input.py:284
info Commented-code block (5 lines) in tests/test_security_review.py:100
info Commented-code block (5 lines) in tests/test_tool_system_tools.py:227
info Commented-code block (9 lines) in tests/test_hook_registry.py:113
info Commented-code block (5 lines) in tests/test_skills_bundled_catalogue.py:258
info Commented-code block (6 lines) in tests/test_openai_compat_abort_signal.py:212

View all commented-out code findings →

Config drift 8 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.

8 matching findings on this repo

medium No CI/CD configuration found
low File has no detected symbols: demos/crm-app/vite.config.js
low File has no detected symbols: demos/minecraft-app/vite.config.js
low File has no detected symbols: demos/linkedin-app/vite.config.js
low File has no detected symbols: demos/adopt-me-app/vite.config.js
low Legacy-named symbol `is_deprecated` in src/models/configs.py:20
info Commented-code block (5 lines) in src/hooks/config_manager.py:49
info Commented-code block (6 lines) in src/services/mcp/config.py:414

View all config drift findings →

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