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Scan code

Skill ghostsecurity/skills/plugins/ghost/skills/scan-code

Ghost Security's collection of AppSec skills for AI coding agents

Install
npx -y skills add ghostsecurity/skills --skill scan-code

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Ghost Security - SAST code scanner. Finds security vulnerabilities in source code by planning and executing targeted scans for issues like SQL injection, XSS, BOLA, BFLA, SSRF, and other OWASP categories. Supports applications (backend, frontend, mobile) and libraries (prototype pollution, unsafe deserialization, ReDoS, path traversal, zip slip). Use when the user asks for a code security audit, SAST scan, vulnerability scan of source code, or wants to find security flaws in a codebase or library.

The file declares its own license as apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.5 KB, as published. Nobody here has run it

Find Issues

You find security issues in a repository. This skill plans which vulnerability vectors to scan, then executes those scans against each project.

Inputs

  • depth: quick (default), balanced, or full — override via $ARGUMENTS

$ARGUMENTS

Note: Arguments passed can be used to customize the scan workflow if provided. For example, if the user specifies a specific set of vectors, count of vectors, specific candidate files, areas to focus on, count of candidate files, etc., ensure the relevant details are passed to the relevant steps in the skill.

Supporting files


Step 1: Setup

Compute the repo-specific output directory:

repo_name=$(basename "$(pwd)") && remote_url=$(git remote get-url origin 2>/dev/null || pwd) && short_hash=$(printf '%s' "$remote_url" | git hash-object --stdin | cut -c1-8) && repo_id="${repo_name}-${short_hash}" && short_sha=$(git rev-parse --short HEAD 2>/dev/null || date +%Y%m%d) && ghost_repo_dir="$HOME/.ghost/repos/${repo_id}" && scan_dir="${ghost_repo_dir}/scans/${short_sha}/code" && cache_dir="${ghost_repo_dir}/cache" && mkdir -p "$scan_dir" && echo "scan_dir=$scan_dir cache_dir=$cache_dir"
  1. Read $cache_dir/repo.md — if missing, run the repo-context skill first and then continue.
  2. Read criteria/index.yaml to get the valid agent→vector mappings per project type
  3. Set depth to quick if not provided
  4. If depth is full, warn the user that a full scan uses significantly more tokens and ask them to confirm before proceeding. If they decline, fall back to balanced.

Step 2: Plan Scans

If $scan_dir/plan.md already exists, skip to the next step.

Otherwise, run the planner using scripts/loop.sh:

bash <path-to-loop.sh> $scan_dir planner.md "- depth: <depth>
- arguments: <relevant argument overrides if any, otherwise omit>" 1 $cache_dir

Use a 10-minute timeout. If the command times out, re-run it — the script resumes from where it left off. If it fails 3 times consecutively with the same error, stop and report the failure.

Verify: $scan_dir/plan.md exists and contains at least one ## Project: section before proceeding.


Step 3: Nominate Files

If $scan_dir/nominations.md does not exist, generate it by reading $scan_dir/plan.md and for each project section (## Project: <base_path> (<type>)), parse the Recommended Scans table. For each row, extract the Agent and Vector columns. Write $scan_dir/nominations.md - one line per (project, agent, vector) combination. Skip projects with empty scan tables.

# Nominations

- [ ] <base_path> (<type>) | <agent> | <vector>
- [ ] <base_path> (<type>) | <agent> | <vector>
...

If $scan_dir/nominations.md already exists, change every top level task - [x] to - [ ]. Keep all indented lines/subtasks beneath each item unchanged.

Run nomination script

Using scripts/loop.sh:

bash <path-to-loop.sh> $scan_dir nominator.md "- depth: <depth>
- arguments: <relevant argument overrides if any, otherwise omit>" 5 $cache_dir

Use a 10-minute timeout. If the command times out, re-run it — the script resumes from where it left off. If it fails 3 times consecutively with the same error, stop and report the failure.

Verify: $scan_dir/nominations.md contains at least one - [x] line before proceeding.


Step 4: Analyze Nominated Files

Read $scan_dir/nominations.md. For each candidate file under a checked - [x] line, append to $scan_dir/analyses.md (skip candidates already listed in analyses.md).

- [ ] <base_path> (<type>) | <agent> | <vector> | <candidate_file>

Create the findings directory:

mkdir -p $scan_dir/findings

Run analysis script

Using scripts/loop.sh:

bash <path-to-loop.sh> $scan_dir analyzer.md "" 5 $cache_dir

Use a 10-minute timeout. If the command times out, re-run it — the script resumes from where it left off. If it fails 3 times consecutively with the same error, stop and report the failure.

Verify: $scan_dir/analyses.md contains at least one - [x] line before proceeding.


Step 5: Verify Findings

List all .md files in $scan_dir/findings/. If none exist, write a no-findings.md summary and stop.

Using scripts/loop.sh:

bash <path-to-loop.sh> $scan_dir verifier.md "" 5 $cache_dir

Use a 10-minute timeout. If the command times out, re-run it — the script resumes from where it left off. If it fails 3 times consecutively with the same error, stop and report the failure.


Completion

After all steps complete, report the scan results:

  1. List all finding files in $scan_dir/findings/
  2. Count verified vs rejected findings
  3. Present a summary to the user

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.