# Security Code Review Assistant — Offline Code Security / DevSecOps Tool
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[](https://www.python.org/downloads/)
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[](https://github.com/reshot2005/secintel-core)
[](https://github.com/reshot2005/security-code-review-assistant)
> **Aggregate Python/JS analyzer findings into a security code review report — accelerate secure code review for engineering teams.**
**Category:** Code Security / DevSecOps
**Collection phase tool:** 7/10
**Schema:** [secintel-core](https://github.com/reshot2005/secintel-core) v1
**Repository:** https://github.com/reshot2005/security-code-review-assistant
**Author account:** [reshot2005](https://github.com/reshot2005)
## Why Security Code Review Assistant ranks for security search
Security Code Review Assistant is an **offline-first**, research-grade **code security / devsecops** utility designed for practitioners who need reproducible analysis without uploading sensitive artifacts to SaaS scanners. It emits structured findings through the shared **secintel** evidence taxonomy (OBSERVED / DERIVED / INFERRED / CORRELATED / VERIFIED) so results are auditable, exportable, and CI-friendly.
### Primary SEO keywords
`secure code review, code review assistant, SAST report, AppSec review, PR security review`
### Topics
`devsecops` `application-security` `sast` `secure-coding` `cybersecurity` `code-security` `sbom` `security-tools` `python` `offline-security` `code-review` `appsec`
## What problem does this solve?
Combine static analyzer outputs into a reviewer-friendly security code review report with prioritized findings.
Human-review focused aggregation layer.
## Key features
- Multi-analyzer aggregation
-
Reviewer-oriented report
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Priority grouping
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Evidence links
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Offline workflow
- Support human code review
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Weekly AppSec summaries
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PR risk briefings
- Security engineers & AppSec / NetSec specialists
- SOC / DFIR / malware analysts (as applicable)
- Bug bounty hunters and penetration testers
- DevSecOps teams needing offline/air-gapped tooling
- Students and researchers learning code security / devsecops
git clone https://github.com/reshot2005/security-code-review-assistant.git cd security-code-review-assistant python3.12 -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\Activate.ps1 pip install -e ../secintel-core # or: pip install -e git+https://github.com/reshot2005/secintel-core.git#egg=secintel-core pip install -e ".[dev]" security-code-review-assistant analyze sample_data --json security-code-review-assistant analyze sample_data --html report.html security-code-review-assistant version
security-code-review-assistant analyze sample_data \ --json --html report.html --csv findings.csv --sarif results.sarif
- Findings follow secintel classification rules (confidence only where schema allows).
- Provenance includes tool version, config hash, and input integrity metadata.
- Set
SECINTEL_SOURCE_DATE_EPOCHfor deterministic timestamps in CI.
export SECINTEL_SOURCE_DATE_EPOCH=1704067200 security-code-review-assistant analyze sample_data --jsonruff check src tests mypy src pytest
Browse more offline security research tools by reshot2005: network security, web AppSec, DevSecOps, digital forensics, and static malware analysis — each in its own public repository with the same secintel reporting contract.
MIT — free for research, education, and commercial use with attribution preserved.
Security Code Review Assistant (security-code-review-assistant) — Aggregate Python/JS analyzer findings into a security code review report — accelerate secure code review for engineering teams. Search terms: secure code review, code review assistant, SAST report, AppSec review, PR security review. Open-source, MIT-licensed, Python 3.12, offline cybersecurity tool by reshot2005.