Fix Security Vulnerabilities With Strix logo

Fix Security Vulnerabilities With Strix

OrganizationPopular
usestrix
fix-security-vulnerabilities-with-strix

Fix security vulnerabilities found by a Strix pentest (open-source CLI or app.strix.ai cloud) — triage by severity, patch the root cause rather than the symptom, and re-run Strix to prove each fix actually closes the exploit. Handles injection, XSS, SSRF, broken access control, IDOR, and other validated findings. Use after a Strix scan reports findings, or when the user asks to remediate, patch, or fix security issues from a strix_runs report, vulnerabilities.json, findings.sarif, or a cloud scan.

Overview

Publisherusestrix
Repositorystrix
Skill namefix-security-vulnerabilities-with-strix
Stars
63.3K
Forks
6.9K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by usestrix on GitHub. Read the source before you install it.

Installation

Install the Fix Security Vulnerabilities With Strix AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/usestrix/strix.git /tmp/strix
mkdir -p .claude/skills
cp -r /tmp/strix/skills/fix-security-vulnerabilities-with-strix .claude/skills/fix-security-vulnerabilities-with-strix
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fix Security Vulnerabilities With Strix in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fix Security Vulnerabilities With Strix on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fix Security Vulnerabilities With Strix is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Fix Strix findings and verify

Turn validated Strix findings into minimal, correct fixes — and prove they work by re-scanning.

1. Triage

Get the findings from wherever the scan ran:

  • OSS CLI — artifacts in strix_runs/<run-name>/:
    • vulnerabilities/*.md — one finding per file: description, severity, PoC steps or script, affected code locations, remediation guidance.
    • vulnerabilities.json — the same findings as JSON (ids, severity, CWE/CVE, code_locations with fix_before/fix_after suggestions when available).
  • Cloud (app.strix.ai) — pull findings with the CLI: strix cloud vulns list --scan-id <scan-id> --json (or strix cloud scans get <scan-id> --json | jq '.vulnerabilities', or strix cloud vulns list --severity critical org-wide). Each finding carries severity, cwe, endpoint, method, impact, technical_analysis, poc_description, poc_script_code and, for code findings, code_file/code_diff/code_before/code_after. After a fix is verified, mark it with strix cloud vulns update <id> --status fixed. See the managed-pentesting-with-strix skill for strix cloud login and scopes.

Order work by severity: critical → high → medium → low. Every Strix finding was validated with a working proof-of-concept, so do not dismiss findings as false positives without re-testing the PoC yourself.

2. Fix

For each finding:

  1. Reproduce it with the PoC from the finding file when feasible.
  2. Fix the root cause, not the specific payload (parameterize every query instead of blocking one string, and enforce authorization in the handler instead of hiding the endpoint).
  3. Prefer the framework's built-in defense (ORM parameterization, template auto-escaping, CSRF middleware, centralized authz) over ad-hoc sanitization.
  4. Keep the diff minimal and apply the repo's existing patterns. Finding files often include fix_before/fix_after snippets — use them as a starting point, not verbatim.

Common finding classes and expected fixes: injection → parameterization/escaping at the sink; IDOR/broken access control → object-level authorization checks; SSRF → allowlist + block internal ranges; XSS → context-aware output encoding + CSP; secrets exposure → rotate the secret AND remove it from code/history; auth issues → fix the server-side check (never client-side).

3. Verify by re-running Strix

After fixing, re-scan scoped to the fixed area and confirm the finding is gone. Verify in whichever environment you scanned (or both):

OSS CLI:

bash
# Re-test just the changed files (fast). Resolve the repo's real default
# branch instead of assuming origin/main (many repos use master/develop).
# Avoid the current branch's own upstream as the base — its merge base with
# HEAD would be HEAD, giving an empty diff and a falsely clean result.
DIFF_BASE=$(git symbolic-ref --quiet --short refs/remotes/origin/HEAD 2>/dev/null)
# origin/HEAD can be a dangling symbolic ref — keep it only if its target exists.
git rev-parse --verify --quiet "$DIFF_BASE" >/dev/null 2>&1 || DIFF_BASE=""
if [ -z "$DIFF_BASE" ]; then
  for b in origin/main origin/master origin/develop; do
    git rev-parse --verify --quiet "$b" >/dev/null && DIFF_BASE="$b" && break
  done
fi
# No silent fallback: a guess like HEAD~1 would cover only the last commit of a
# multi-commit fix branch. If no base resolves, ask the user for the base branch
# (or use the focused --instruction verification below, which needs no diff base).
[ -n "$DIFF_BASE" ] || { echo "Set DIFF_BASE to the branch your fix will merge into." >&2; exit 1; }
strix -n -t ./ --scan-mode quick --scope-mode diff --diff-base "$DIFF_BASE" --max-budget 5

# Or re-test with the original finding as focus (no diff base needed)
strix -n -t ./ --instruction "Verify the SQL injection in app/api/search.py is fixed. Original PoC: <poc>" --max-budget 5

Exit codes: 2 = findings remain (read the new strix_runs/<run>/vulnerabilities/ and iterate); 0 = clean for what was analyzed. Before trusting a 0, confirm the run wasn't cut short — check run.json for a completed status and compare its llm_usage.cost with --max-budget: a hard budget stop leaves status: "stopped", but a run that wrapped up on a budget warning records "completed" with partial coverage. Give verification enough budget to finish, and prefer re-running the specific PoC as the ground-truth signal.

Cloud: rerun with the same config and re-poll, then confirm the finding no longer appears:

bash
new_id=$(curl -sS "$BASE/scans/$scan_id/rerun" "${auth[@]}" -X POST | jq -r .scan_id)
# poll GET /scans/$new_id until completed, then check its vulnerabilities[]

Or, if the cloud scan came from a repo/PR, trigger a fresh PR review on the fix branch (POST /pr-reviews/start). The platform also retests a single finding directly: POST /api/v1/vulnerabilities/{vulnerabilityId}/retest.

  • Also re-run the PoC manually when it is a simple request/script — fastest signal.
  • Run the project's own test suite to make sure the fix does not break behavior.

4. Report

Summarize per finding: severity, root cause, fix applied (file:line), verification result (re-scan clean / PoC no longer reproduces). Never include live secrets in the report; if a secret leaked, state that rotation is required.

Frequently asked questions

What does the Fix Security Vulnerabilities With Strix AI skill do?

Fix security vulnerabilities found by a Strix pentest (open-source CLI or app.strix.ai cloud) — triage by severity, patch the root cause rather than the symptom, and re-run Strix to prove each fix actually closes the exploit. Handles injection, XSS, SSRF, broken access control, IDOR, and other validated findings. Use after a Strix scan reports findings, or when the user asks to remediate, patch, or fix security issues from a strix_runs report, vulnerabilities.json, findings.sarif, or a cloud scan.

Why use Fix Security Vulnerabilities With Strix on TypingMind?

Because you install it once and use it with any model. Fix Security Vulnerabilities With Strix is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fix Security Vulnerabilities With Strix in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/usestrix/strix/tree/main/skills/fix-security-vulnerabilities-with-strix. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fix Security Vulnerabilities With Strix?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fix Security Vulnerabilities With Strix?

As many as you like. As long as a model supports skills, you can use Fix Security Vulnerabilities With Strix with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fix Security Vulnerabilities With Strix AI skill free?

Yes. It is published on GitHub by usestrix under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇