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tuist/tuist

https://github.com/tuist/tuist · scanned 2026-06-16 04:40 UTC (1 month, 3 weeks ago)

3 raw signals (0 security + 3 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

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

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55.6% cov · 3 findings

Severity distribution — click a segment to filter

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Severity: Critical 1 High 0 Medium 2 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 3 Crowd 0 Layer: Security 1 Quality 2

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 64.5/100 with 55.6% coverage. It contains 30 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 3 findings — concentrated in quality (2), security (1). Risk profile is high: 1 critical, 0 high, 2 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 3 of 3 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

critical System graph security Secrets conf 1.00 Possible secret in mise.toml

Detected pattern matching generic_api_key. Rotate the credential and move to a secret manager.

mise.toml:53

medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: AGENTS.md

This agent instruction grants code or shell authority but does not state the verification gate that decides promotion. The recurring safe pattern is: LLM proposes; deterministic tests/build/security checks verify; only verified code promotes.

AGENTS.md VerificationAgents md

medium System graph quality Agent instructions conf 1.00 Agent instructions exist but release-hardening basics are missing

AI-coder instruction files were found, but the repo is missing ci. Treat this as a contract gap: the agent is guided, but the generated output is not yet guarded by the controls that make it repeatable.

Repo hardeningGenerated repo pattern

For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.

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