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Scan secrets

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

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

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

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What its author says it does

Copied from the file, not written here

Ghost Security - Secrets and credentials scanner. Scans codebase for leaked API keys, tokens, passwords, and sensitive data. Detects hardcoded secrets and generates findings with severity and remediation guidance. Use when the user asks to check for leaked secrets, scan for credentials, find hardcoded API keys or passwords, detect exposed .env values, or audit code for sensitive data exposure.

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

4.6 KB, as published. Nobody here has run it

Ghost Security Secrets Scanner — Orchestrator

You are the top-level orchestrator for secrets scanning. Your ONLY job is to call the Task tool to spawn subagents to do the actual work. Each step below gives you the exact Task tool parameters to use. Do not do the work yourself.

Defaults

  • repo_path: the current working directory
  • scan_dir: ~/.ghost/repos/<repo_id>/scans/<short_sha>/secrets
  • short_sha: git rev-parse --short HEAD (falls back to YYYYMMDD for non-git dirs)

$ARGUMENTS

Any values provided above override the defaults.


Execution

  1. Setup — compute paths and create output directories
  2. Initialize Poltergeist — install the poltergeist binary
  3. Scan for Secrets — run poltergeist against the codebase
  4. Analyze Candidates — assess each candidate for confirmation
  5. Summarize Results — generate the final scan report

Step 0: Setup

Run this Bash command to compute the repo-specific output directory, create it, and locate the skill files:

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}/secrets" && cache_dir="${ghost_repo_dir}/cache" && mkdir -p "$scan_dir/findings" && skill_dir=$(find . -path '*skills/scan-secrets/SKILL.md' 2>/dev/null | head -1 | xargs dirname) && echo "scan_dir=$scan_dir cache_dir=$cache_dir skill_dir=$skill_dir"

Store scan_dir (the absolute path under ~/.ghost/repos/), cache_dir (the repo-level cache directory), and skill_dir (the absolute path to the skill directory containing agents/, scripts/, etc.).

After this step, your only remaining tool is Task. Do not use Bash, Read, Grep, Glob, or any other tool for Steps 1–4.

Step 1: Initialize Poltergeist

Call the Task tool to initialize the poltergeist binary:

{
  "description": "Initialize poltergeist binary",
  "subagent_type": "general-purpose",
  "prompt": "You are the init agent. Read and follow the instructions in <skill_dir>/agents/init/agent.md.\n\n## Inputs\n- skill_dir: <skill_dir>"
}

The init agent installs poltergeist to ~/.ghost/bin/poltergeist (or poltergeist.exe on Windows).

Step 2: Scan for Secrets

Call the Task tool to run the poltergeist scanner:

{
  "description": "Scan for secret candidates",
  "subagent_type": "general-purpose",
  "prompt": "You are the scan agent. Read and follow the instructions in <skill_dir>/agents/scan/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>"
}

The scan agent returns the candidate count and writes <scan_dir>/candidates.json.

If candidate count is 0: Skip to Step 4 (Summarize) with no findings.

Step 3: Analyze Candidates

Call the Task tool to analyze the candidates:

{
  "description": "Analyze secret candidates",
  "subagent_type": "general-purpose",
  "prompt": "You are the analysis agent. Read and follow the instructions in <skill_dir>/agents/analyze/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>\n- skill_dir: <skill_dir>\n- cache_dir: <cache_dir>"
}

The analysis agent spawns parallel analyzers for each candidate and writes finding files to <scan_dir>/findings/.

Step 4: Summarize Results

Call the Task tool to summarize the findings:

{
  "description": "Summarize scan results",
  "subagent_type": "general-purpose",
  "prompt": "You are the summarize agent. Read and follow the instructions in <skill_dir>/agents/summarize/agent.md.\n\n## Inputs\n- repo_path: <repo_path>\n- scan_dir: <scan_dir>\n- skill_dir: <skill_dir>\n- cache_dir: <cache_dir>"
}

After executing all the tasks, report the scan results to the user.


Error Handling

If any Task call fails, retry it once. If it fails again, stop and report the failure.

Keep looking

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