用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/tomevault-io/skills-registry --skill ghost-scan-secrets命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | ghost-scan-secrets |
| description | | Use when this capability is needed. |
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.
~/.ghost/repos/<repo_id>/scans/<short_sha>/secretsgit rev-parse --short HEAD (falls back to YYYYMMDD for non-git dirs)$ARGUMENTS
Any values provided above override the defaults.
Run this Bash command to compute the repo-specific output directory, create it, and locate the skill files:
repo_name=$(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.
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).
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.
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/.
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.
If any Task call fails, retry it once. If it fails again, stop and report the failure.
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