Hardening baselines & remediation

SkillProductivity

Turn offensive findings into concrete hardening, the fix side of each vuln class, plus config baselines. Load for blue-team/remediation tasks, "how do we fix/prevent", secure config review, or writing the remediation section of a report. Signals: "harden", "remediation", "secure baseline", "prevent".

Use Hardening baselines & remediation in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Hardening baselines & remediation skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Hardening baselines & remediationStart free

What this skill tells your AI

The instructions your AI receives, as published by noorqureshi/sploitagent in skills/defense/defense-hardening-baseline/SKILL.md and read by Ahel’s review.

When it applies

You need the defensive counterpart: how to fix a class of bug, or how to configure a system so the class can't occur. Pairs with every offensive skill's "why it works".

Why it works

Most vuln classes have a small set of correct, well-known mitigations. Applying the right control at the right layer (input handling, authz at the data layer, safe defaults) removes the class, not just the instance.

Remediation by class (the fix that actually works)

Injection (SQLi/cmd/LDAP): parameterized queries / prepared statements; never build code from input; least-privilege DB users.
XSS: context-aware output encoding + a strict CSP (nonce-based, no unsafe-inline).
Access control (IDOR/BOLA): authorize at the object layer on every request; deny by default.
SSRF: allowlist egress, block link-local/metadata, enforce IMDSv2, resolve+validate then pin.
Deserialization: don't deserialize untrusted input; use data-only formats; allowlist types.
Auth/JWT: verify signatures/alg, short expiry, rotate, MFA; secrets out of code/URLs.
Upload: validate server-side by content, store outside webroot, random names, no exec.
Secrets: vault/manager, scan CI, rotate on exposure.

Config baselines

Cloud: CIS Benchmarks; scan with ScoutSuite/Prowler; enforce IMDSv2, block public buckets.
Kubernetes: kube-bench (CIS), least-privilege RBAC, no privileged pods, network policies.
Hosts: CIS baselines, patch cadence, disable unused services.

How to use

For a finding, cite the specific control here in the report's remediation, and (blue-team) turn it into a config check or a detection (→ defense-detection-sigma).

References

OWASP Cheat Sheet Series; CIS Benchmarks; cloud provider security baselines.

Signals

GitHub stars: 20
Forks: 7
Last commit: Sep 2026

Advanced

Item type: skill
Key: defense-hardening-baseline
Source: github.com/noorqureshi/sploitagent

github.com/noorqureshi/sploitagent