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Truecalling-ai/truecalling-mcp

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

6 raw signals (0 security + 6 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 3 weeks ago · v1 · 6 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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Scan summary Repository scanned at 74.0/100 with 44.4% coverage. It contains 12 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 6 findings — concentrated in quality (4), security (1), cicd (1). Risk profile is low: 0 critical, 0 high, 2 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 4 of 6 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph security security conf 1.00 Insecure pattern 'node_child_process' in run.mjs:13
Found a known-risky pattern (node_child_process). Review and replace if possible.
run.mjs:13 Node child process
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 2 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
low System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.
Repo hardeningGenerated repo pattern
low System graph cicd CI/CD security conf 1.00 package.json defines install-time lifecycle scripts
preinstall/install/postinstall/prepare scripts execute during dependency installation. Review them carefully for network calls, obfuscation, shell execution, or credential access.
package.json CI/CD securitySupply chainNpm
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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