devel-jb-skill-installer
- Installed annotations come from `$CODEX_HOME/skills`.
- License 许可
- Apache-2.0
- 最近更新
- 2026-09-01
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- devel-jb-skill-installer
- domain
- cybersecurity
- description
- - Installed annotations come from `$CODEX_HOME/skills`.
02 资源文件 11
- 参考文档agents/index.json84 B
- 参考文档agents/openai.yaml221 B
- 资产文件assets/index.json84 B
- 资产文件assets/skill-installer-small.svg923 B
- 资产文件assets/skill-installer.png1.0 KB
- 参考文档index.json1.4 KB
- 许可证LICENSE.txt11.1 KB
- 脚本scripts/github_utils.py659 B
- 脚本scripts/index.json84 B
- 脚本scripts/install-skill-from-github.py9.9 KB
- 脚本scripts/list-skills.py2.9 KB
03 SKILL.md 正文
Skill Installer
Helps install skills. By default these are from https://github.com/openai/skills/tree/main/skills/.curated, but users can also provide other locations.
Use the helper scripts based on the task:
- List skills when the user asks what is available, or if the user uses this skill without specifying what to do. Default listing is
.curated, but you can pass--path skills/.experimentalwhen they ask about experimental skills. - Install from the curated list when the user provides a skill name.
- Install from another repo when the user provides a GitHub repo/path (including private repos).
Install skills with the helper scripts.
Communication
When listing skills, output approximately as follows, depending on the context of the user's request. If they ask about experimental skills, list from .experimental instead of .curated and label the source accordingly:
"""
Skills from {repo}:
- skill-1
- skill-2 (already installed)
- ... Which ones would you like installed? """
After installing a skill, tell the user: "Restart Codex to pick up new skills."
Scripts
All of these scripts use network, so when running in the sandbox, request escalation when running them.
scripts/list-skills.py(prints skills list with installed annotations)scripts/list-skills.py --format json- Example (experimental list):
scripts/list-skills.py --path skills/.experimental scripts/install-skill-from-github.py --repo <owner>/<repo> --path <path/to/skill> [<path/to/skill> ...]scripts/install-skill-from-github.py --url https://github.com/<owner>/<repo>/tree/<ref>/<path>- Example (experimental skill):
scripts/install-skill-from-github.py --repo openai/skills --path skills/.experimental/<skill-name>
Behavior and Options
- Defaults to direct download for public GitHub repos.
- If download fails with auth/permission errors, falls back to git sparse checkout.
- Aborts if the destination skill directory already exists.
- Installs into
$CODEX_HOME/skills/<skill-name>(defaults to~/.codex/skills). - Multiple
--pathvalues install multiple skills in one run, each named from the path basename unless--nameis supplied. - Options:
--ref <ref>(defaultmain),--dest <path>,--method auto|download|git.
Notes
- Curated listing is fetched from
https://github.com/openai/skills/tree/main/skills/.curatedvia the GitHub API. If it is unavailable, explain the error and exit. - Private GitHub repos can be accessed via existing git credentials or optional
GITHUB_TOKEN/GH_TOKENfor download. - Git fallback tries HTTPS first, then SSH.
- The skills at https://github.com/openai/skills/tree/main/skills/.system are preinstalled, so no need to help users install those. If they ask, just explain this. If they insist, you can download and overwrite.
- Installed annotations come from
$CODEX_HOME/skills.
04 同仓库更多 Skills
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Detect WMI event subscription persistence by enumerating ActiveScriptEventConsumer, CommandLineEventConsumer, and permanent subscriptions in the WMI repository.
services-wmi-exec-exploit
Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.
registry-artifact-extract
Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.
processes-token-impersonate-detect
Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.
processes-thread-injection-detect
Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.
processes-hollow-technique-detect
Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.