Code Intelligence
Understand repositories as systems: map code structure and semantic relationships, analyze change impact, review pull requests, and plan safe refactors. Use when a task involves unfamiliar codebases, dependency tracing, architecture mapping, PR review, or cross-file refactoring.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-code-intelligence ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-tikazi-tikaz-ai-skills-code-intelligence) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Code Intelligence
This public entry combines the local 代码-CodeGraph and 代码-GitNexus roles into one non-competing, clean-room workflow. This TIKAZ Edition is designed, integrated, refactored, and continuously maintained by TIKAZ.
Workflow
- Identify the repository, framework, entry points, tests, build commands, and local instructions.
- Build a compact map of modules, symbols, imports, data flow, and public boundaries.
- For a change, trace direct and indirect consumers before proposing edits.
- For a PR, review correctness, regressions, security, tests, and maintainability; cite files and lines.
- For a refactor, define invariants, migration steps, compatibility risks, and a rollback path.
- Validate with repository-native tests, type checks, lint, build, and focused impact checks.
Output
Return an evidence-backed architecture map, impact list, prioritized findings, implementation plan, and verification results. Separate observed facts, inferences, and recommendations.
Source note
This role was written independently after studying the problem space. CodeGraph and GitNexus are research references only; no GitNexus code or documentation is distributed here.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: TIKAZI/TIKAZ-AI-Skills
- License: MIT
- Homepage: https://tikazi.github.io/TIKAZ-AI-Skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.