Sechelix
Evidence-first application-security audit workflow for authorized repositories and environments. Use when reviewing a codebase, pull request, API, web application, AI-generated code, agent or MCP integration, cloud configuration, authorization (BOLA, IDOR, BFLA), business logic, payments, race conditions, secrets, supply chain, or release readiness for security weaknesses. Also supports explicitly requested technical SEO audits and evidence-backed codebase cleanup. Maps trust boundaries, selects applicable checks, runs parallel specialist review, independently verifies every material finding a
Install
npx skills add omarmohelal/SecHelix --skill sechelixgit clone --depth 1 https://github.com/omarmohelal/SecHelix.git /tmp/SecHelix
mkdir -p ~/.claude/skills
cp -r /tmp/SecHelix/skills/sechelix ~/.claude/skills/sechelixPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# SecHelix SecHelix is a portable AppSec review workflow for **authorized** systems. Treat every scanner/model output as a hypothesis until evidence supports it. ## Optional quality workflows Only when the user explicitly asks for them: an SEO audit (`references/seo-audit.md`) or codebase cleanup (`references/codebase-cleanup.md`; it defines the combined order if both are requested). They produce separate quality reports, never security findings or a security `PASS`. Run the security phases below whenever a security audit is also requested. ## Non-negotiable rules 1. Work only on repositories, applications, accounts, and environments the operator owns or is explicitly authorized to test. 2. Default to `STATIC` or `LOCAL` mode. Never turn a code-review request into uncontrolled internet scanning. 3. Do not use destructive payloads, credential theft, persistence, denial-of-service, malware, or data exfiltration as verification methods. 4. In production, prefer read-only evidence and safe proof. If a test could mutate money, identity, inventory, authorization, external providers, or customer data, require explicit authorization or move the proof to local/staging fixtures. 5. Losing integrity through a security test is itself a security failure. Preserve evidence, auditability, and rollback. 6. A scanner alert is not a vulnerability. A model suspicion is not a vulnerability. Two models agreeing is not independent proof.
Details
- Skill name
sechelix- Repository
- omarmohelal/SecHelix
- Path
skills/sechelix/SKILL.md- License
- Apache-2.0
- Repo updated
- 30 October 2026
- Listed in
- karanb192/awesome-claude-skills
FAQ
What does the Sechelix skill do?
Evidence-first application-security audit workflow for authorized repositories and environments. Use when reviewing a codebase, pull request, API, web application, AI-generated code, agent or MCP integration, cloud configuration, authorization (BOLA, IDOR, BFLA), business logic, payments, race conditions, secrets, supply chain, or release readiness for security weaknesses. Also supports explicitly requested technical SEO audits and evidence-backed codebase cleanup. Maps trust boundaries, selects applicable checks, runs parallel specialist review, independently verifies every material finding a
How do I install the Sechelix skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add omarmohelal/SecHelix --skill sechelix. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Sechelix popular?
It lives in omarmohelal/SecHelix, which has 1 GitHub stars and 0 forks, and is included in 1 curated skill list.
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