Skip to content
Agentmart
Submit a tool

hafez-security

Perform evidence-based application security review and safe remediation for authentication, authorization, input handling, secrets, uploads, dependencies…

Skill by EngMahmoudHafez

IndexedMIT
Write a review

Chalk Labs

Need help deploying hafez-security?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/engmahmoudhafez-hafez-security

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Perform evidence-based application security review and safe remediation for authentication, authorization, input handling, secrets, uploads, dependencies, tenancy, logging, rate limits, and common web/API vulnerability classes.

Use cases: backend, security

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/hafez-security

What's inside

Skill name
hafez-security
Description
Perform evidence-based application security review and safe remediation for authentication, authorization, input handling, secrets, uploads, dependencies, tenancy, logging, rate limits, and common web/API vulnerability classes.
License
MIT
Instructions
22 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Hafez Security

Security findings require evidence and explicit exploitability reasoning; do not generate alarmist checklists detached from the code.

Review the relevant attack surface:

1. Authentication: token/session lifetime, refresh/revocation, OTP behavior, password reset, MFA, login enumeration, logout, and credential handling.
2. Authorization: policies/guards, object ownership, tenant isolation, admin boundaries, mass assignment, and indirect-object access.
3. Input/output: validation, injection, unsafe deserialization, XSS, command execution, path traversal, SSRF, redirects, and response data exposure.
4. Files: MIME/content validation, storage visibility, executable uploads, path control, signed/private access, and metadata leakage.
5. Secrets/config: committed credentials, raw exception output, debug mode, unsafe defaults, environment separation, and log redaction.
6. Dependencies/supply chain: lockfile reproducibility, audit results, abandoned packages, install scripts, and CI provenance.
7. Abuse controls: rate limits, OTP resend/bruteforce limits, expensive endpoints, queues, webhooks, and replay protection.
8. Data protection: sensitive fields, encryption where justified, backups, retention, exports, and audit logs.
9. Infrastructure-facing code: CORS, trusted proxies/hosts, CSP where relevant, webhook signatures, TLS assumptions, and cloud storage permissions.
10. Add regression tests for confirmed security defects and rerun required quality/security gates.

Use read-only scouts for broad review and bounded writers for narrow remediations. The strongest lead reviews security-sensitive patches before integration.

Autopilot may fix clear reversible technical vulnerabilities locally. Pause for credentials/secret rotation, production access, disclosure/communication, destructive containment, legal/compliance/privacy policy choices, or security changes that materially alter product behavior.

From EngMahmoudHafez/hafez-development-system, MIT.

More from EngMahmoudHafez/hafez-development-system

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Oct 7, 2026 (24 days ago)
Last release
Oct 6, 2026 (25 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from EngMahmoudHafez

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get hafez-security running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying hafez-security?

CallGet help
Cite this page

hafez-security skill. Agent Mart. https://agentmart.dev/skills/engmahmoudhafez-hafez-security (last updated 2026-10-24)