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/Aditya232-rtx/Ouroboros --skill codebase-inspection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。
Add security scanning to CI/CD with Fang — GitHub Actions, GitLab CI, or any pipeline — so every pull request gets a diff-scoped AI pentest that blocks vulnerable code before it merges, with results as PR comments and SARIF uploaded to code scanning. Covers both the self-hosted open-source CLI (runs in your runner) and the managed app.fang.ai platform (GitHub/GitLab app or API, no runner infra). Use when the user asks to add security scanning, SAST/DAST, pentesting, vulnerability checks, or automated security review to their CI pipeline, pre-merge gate, or PR workflow.
Fix security vulnerabilities found by a Fang pentest (open-source CLI or app.fang.ai cloud) — triage by severity, patch the root cause rather than the symptom, and re-run Fang to prove each fix actually closes the exploit. Handles injection, XSS, SSRF, broken access control, IDOR, and other validated findings. Use after a Fang scan reports findings, or when the user asks to remediate, patch, or fix security issues from a fang_runs report, vulnerabilities.json, findings.sarif, or a cloud scan.
Run a managed pentest of a web app or API through the app.fang.ai REST API — no local Docker, LLM key, or install needed. Create an API token, register domain/repository assets, launch and poll scans, triage vulnerabilities, export SARIF, download PDF/DOCX pentest reports for SOC 2 and other compliance evidence (Enterprise plan), start PR reviews, and set up schedules and webhooks. Use when the user wants continuous or scheduled pentesting-as-a-service, an auditor-ready pentest report, scans tracked in a team dashboard, or security testing from a sandboxed agent/CI environment with no infrastructure.
正在显示 SKILL.md
| name | codebase-inspection |
| description | Inspect codebases w/ pygount: LOC, languages, ratios. |
| version | 1.0.0 |
| author | Ouro |
| license | MIT |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["LOC","Code Analysis","pygount","Codebase","Metrics","Repository"],"related_skills":["github-repo-management"]}} |
| prerequisites | {"commands":["pygount"]} |
Analyze repositories for lines of code, language breakdown, file counts, and code-vs-comment ratios using pygount.
pip install --break-system-packages pygount 2>/dev/null || pip install pygount
Get a full language breakdown with file counts, code lines, and comment lines:
cd /path/to/repo
pygount --format=summary \
--folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,.eggs,*.egg-info" \
.
IMPORTANT: Always use --folders-to-skip to exclude dependency/build directories, otherwise pygount will crawl them and take a very long time or hang.
Adjust based on the project type:
# Python projects
--folders-to-skip=".git,venv,.venv,__pycache__,.cache,dist,build,.tox,.eggs,.mypy_cache"
# JavaScript/TypeScript projects
--folders-to-skip=".git,node_modules,dist,build,.next,.cache,.turbo,coverage"
# General catch-all
--folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,.next,.tox,vendor,third_party"
# Only count Python files
pygount --suffix=py --format=summary .
# Only count Python and YAML
pygount --suffix=py,yaml,yml --format=summary .
# Default format shows per-file breakdown
pygount --folders-to-skip=".git,node_modules,venv" .
# Sort by code lines (pipe through sort)
pygount --folders-to-skip=".git,node_modules,venv" . | sort -t$'\t' -k1 -nr | head -20
# Summary table (default recommendation)
pygount --format=summary .
# JSON output for programmatic use
pygount --format=json .
# Pipe-friendly: Language, file count, code, docs, empty, string
pygount --format=summary . 2>/dev/null
The summary table columns:
Special pseudo-languages:
__empty__ — empty files__binary__ — binary files (images, compiled, etc.)__generated__ — auto-generated files (detected heuristically)__duplicate__ — files with identical content__unknown__ — unrecognized file types--folders-to-skip, pygount will crawl everything and may take minutes or hang on large dependency trees.wc -l directly.--suffix to target specific languages rather than scanning everything.