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zai-org/GLM-5

https://github.com/zai-org/GLM-5.git · scanned 2026-06-18 20:03 UTC (1 month, 1 week ago) · 10 languages

5 raw signals (1 security + 4 graph) 50th percentile · Unknown · System graph score 65 (higher by 9)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 1 week ago · v1 · 5 actionable findings from 2 signal sources. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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44.4% cov · 4 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	45.0	0.15	6.75
`security_score`	100.0	0.25	25.00
`testing_score`	70.0	0.20	14.00
`documentation_score`	60.0	0.15	9.00
`practices_score`	72.0	0.15	10.80
`code_quality`	80.0	0.10	8.00
Overall		1.00	73.5

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 2 Medium 2 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 1 System graph 4 Crowd 0 Layer: Software 1 Security 3 Quality 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 64.8/100 with 44.4% coverage. It contains 21 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 4 findings — concentrated in security (3), quality (1). Risk profile is high: 0 critical, 1 high, 2 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 5 of 5 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high Security checks software dependencies conf 0.90 ✓ Repobility pre-commit hook `https://github.com/pre-commit/pre-commit-hooks` pinned to mutable rev `v5.0.0`

`.pre-commit-config.yaml` references `https://github.com/pre-commit/pre-commit-hooks` at `rev: v5.0.0`. If `{rev}` is a branch or version tag, the repo owner can push new code there and `pre-commit install --install-hooks` will fetch it on every developer's machine.

.pre-commit-config.yaml:4

high System graph security Agent instructions conf 1.00 Agent instruction/config may expose a secret: skills/glm-master-skill/SKILL.md

Agent-facing files are routinely pasted into LLM/tool contexts. Move literal tokens, keys, and passwords into a secret manager or document them as placeholders only.

skills/glm-master-skill/SKILL.md:125 SecretsSkill file

medium System graph security Coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.

auth

medium System graph security Skillspector conf 0.60 SkillSpector RA2 (rogue-agent) in skills/glm-master-skill/SKILL.md

Create a **limited-scope** API key with only the permissions needed for the skills you plan to use. > - Store the key in environment variables only — **never hardcode** it in source files or commit it Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or sta…

skills/glm-master-skill/SKILL.md:120 Mcp skillRogue agentRa2

low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence

The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.

Git historyGenerated 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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