Deepsec Documentation Guide
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
A skill your agent uses when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity.
$ npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vlinx-io/VelaTerm attack-path-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src-tauri/resources/codex-security/skills/attack-path-analysis .claude/skills/attack-path-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "attack-path-analysis" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysis into .claude/skills/attack-path-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attack-path-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vlinx-io/VelaTerm attack-path-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src-tauri/resources/codex-security/skills/attack-path-analysis .agents/skills/attack-path-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "attack-path-analysis" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysis into .agents/skills/attack-path-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attack-path-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vlinx-io/VelaTerm attack-path-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src-tauri/resources/codex-security/skills/attack-path-analysis .cursor/skills/attack-path-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "attack-path-analysis" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysis into .cursor/skills/attack-path-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attack-path-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vlinx-io/VelaTerm.git --path src-tauri/resources/codex-security/skills/attack-path-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vlinx-io/VelaTerm attack-path-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src-tauri/resources/codex-security/skills/attack-path-analysis .gemini/skills/attack-path-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "attack-path-analysis" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysis into .gemini/skills/attack-path-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attack-path-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vlinx-io/VelaTerm attack-path-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .github/skills && cp -r skills-src/src-tauri/resources/codex-security/skills/attack-path-analysis .github/skills/attack-path-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "attack-path-analysis" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysis into .github/skills/attack-path-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attack-path-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vlinx-io/VelaTerm attack-path-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vlinx-io/VelaTerm.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src-tauri/resources/codex-security/skills/attack-path-analysis .opencode/skills/attack-path-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "attack-path-analysis" agent skill from https://github.com/vlinx-io/VelaTerm/tree/dev/src-tauri/resources/codex-security/skills/attack-path-analysis into .opencode/skills/attack-path-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "attack-path-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
attack-path-analysisA skill your agent uses when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity.
Attack Path Analysis is an agent skill from vlinx-io/VelaTerm. Use when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/attack-path-facts.md` and `references/severity-policy.md`).
It sits in Security, covering Security review. The repository describes itself as: VelaTerm = Codex + iTerm2, The Best ADE for AI Coding. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 98b5f2f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Attack Path Analysis loads about 2.1k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,074 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from vlinx-io/VelaTerm at commit 98b5f2f, republished under its MIT licence (© vlinx-io). 1,074 words, ~2,111 tokens.
.claude/skills/attack-path-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Turn validated or still-plausible findings into explicit attacker stories, structured attack-path analysis facts, severity calibration, and a final reportability decision grounded in the threat model.
The path references in this skill are the default locations for this phase.
If the user explicitly provides a different path for a required input or output, use the user-provided path instead of the corresponding default path referenced in this skill.
If a required input is still missing, stop and ask the user for it before continuing.
Use the shared scan artifact path conventions in ../../references/scan-artifacts.md.
Standard scans and Deep Scan workers assess attack paths within their ordinary Standard scan workflow; neither invokes this separate phase skill.
When a workbench-backed $security-diff-scan has a scanId, load the per-scan threat model and read the validated candidates with list_codex_security_candidates({ scanId, cursor?, limit? }). Analyze every reportable or deferred candidate, preserve every discovery and validation field and the original candidate order, and submit all decisions together with one record_candidate_attack_paths({ scanId, attackPaths: [{ candidateId, attackPath }] }) call. Submit attackPaths: [] when no candidate enters this phase. The existing tool atomically updates the stored candidates; do not create per-finding reports, receipts, or manual candidate ledgers in this compact diff mode. Keep attack-path facts, counterevidence, severity calibration, and policy adjustment as separate reasoning steps. Other scan and standalone workflows retain their existing artifact behavior.
../../references/scan-artifacts.md as the repo-specific threat-model source of truth. Start from this along with the potential findings. Both inputs are required for this workflow.reportable or survives: yes even if they were not assigned polished candidate numbers during discovery.ignore explicitly; in compact diff mode, retain its candidate record for coverage, and otherwise drop it from the surviving finding set.../../references/scan-artifacts.md. The receipt must record the candidate id, attack-path reportability decision, attack-path facts or exact proof gap, and attack-path artifact/report reference for that candidate finding.Use this checklist before finalizing the attack-path facts or policy decision:
For the most interpretive fields, explicitly ask what repository evidence suggests the opposite and why it does or does not defeat the finding:
Look specifically for repository evidence that the path is:
Apply severity and policy calibration using references/severity-policy.md.
In compact diff mode, every candidate with validation disposition reportable or deferred must receive exactly one nested attack-path decision. The recorded decisions are the complete phase output; do not also create narrative reports or receipts. Otherwise, use the following report contract.
For each surviving finding include:
Render attack-path facts using references/attack-path-facts.md.
ignore or deferred. Otherwise, every candidate that reaches attack-path analysis must leave an attack-path receipt in its candidate-ledger path from ../../references/scan-artifacts.md.../../references/scan-artifacts.md.-- Considerations for attack path --
© vlinx-io, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in src-tauri/resources/codex-security/skills/attack-path-analysis of vlinx-io/VelaTerm.
Open the folder on GitHubat commit 98b5f2f
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in vlinx-io/VelaTerm, which our catalogue first saw on October 7, 2026.
Attack Path Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Attack Path Analysis this skillvlinx-io/VelaTerm | 270 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Kubernetes Network Security Auditkubeshark/kubeshark | 12k | — | ~7.3k | Automated safety check: Notes | Apache-2.0 | |
| Agentlas Security Scanagentlas-ai/Agentlas-OS | 1.6k | 1 repos | ~822 | Automated safety check: Pass | Apache-2.0 | |
| Native Dependency Updatemono/SkiaSharp | 5.6k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Semgrep Security Scantrailofbits/skills | 7.4k | — | ~3.7k | Automated safety check: Notes | CC-BY-SA-4.0 |
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
kubeshark/kubeshark
Hunts for compromised workloads and malicious traffic in a Kubernetes cluster by sweeping network data through Kubeshark MCP, mapped to MITRE ATT&CK.
agentlas-ai/Agentlas-OS
A skill your agent uses when an agent folder must pass the Agentlas Cloud 2-stage security scan (static rules + BYOK LLM judgment) before private sync or public publish, or when asked to…
mono/SkiaSharp
Update native dependencies (libpng, libexpat, zlib, libwebp, harfbuzz, freetype, libjpeg-turbo, etc.) in SkiaSharp's Skia fork.
trailofbits/skills
Detects languages, proposes rulesets for approval, then runs the approved Semgrep scan across a codebase and merges the output into one SARIF file.
Fangcun-AI/SkillWard
Security-audit a third-party skill bundle (folder with SKILL.md, or .zip / .tar.gz archive) before installing it, using the SkillWard cloud scanner.
vlinx-io/VelaTerm
Assess an immutable patch artifact's program impact, regression risk, and auto-merge eligibility.
vlinx-io/VelaTerm
Explicitly spawn a standalone child session under the current vlx-term session, passing the task in as its first message (mirrors spawntask).
vlinx-io/VelaTerm
A skill your agent uses when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan.
vlinx-io/VelaTerm
Define, review, or update SECURITY.md guidance for a repository or component.
vlinx-io/VelaTerm
Track validated Codex Security findings in Linear, Jira, GitHub issues, or draft GitHub security advisories.
vlinx-io/VelaTerm
Use only when the user explicitly requests verification that a security fix remediates a reported vulnerability.
Categories
A skill your agent uses when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity. Attack Path Analysis is an agent skill from vlinx-io/VelaTerm. Use when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity.
Attack Path Analysis fits situations like: Codex is already in the attack-path-analysis phase of a security scan; the user explicitly asks to trace a security finding from source to sink and calibrate severity; repository scans.
Run `npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a claude-code`. Or copy the skill folder (src-tauri/resources/codex-security/skills/attack-path-analysis in vlinx-io/VelaTerm) into .claude/skills/attack-path-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a codex`. Or copy the skill folder (src-tauri/resources/codex-security/skills/attack-path-analysis in vlinx-io/VelaTerm) into .agents/skills/attack-path-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vlinx-io/VelaTerm --skill attack-path-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/attack-path-analysis, .gemini/skills/attack-path-analysis, .github/skills/attack-path-analysis and .opencode/skills/attack-path-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Attack Path Analysis is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Attack Path Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Attack Path Analysis: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Agentlas Security Scan (agentlas-ai/Agentlas-OS, 1.6k stars) and Native Dependency Update (mono/SkiaSharp, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vlinx-io (a GitHub user) maintains it in vlinx-io/VelaTerm, which has 270 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 7, 2026.
Source: vlinx-io/VelaTerm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.