Dirextalk Deployer
YingSuiAI/dirextalk-deployer
Deploy, resume, verify, update, recover, reset, or destroy production Dirextalk services and nodes on AWS, and wire local agent runtimes.
Constructive critique via 5 HackerNews personas with claim validation.
$ npx skills add notque/vexjoy-agent --skill roast -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent roast --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/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/roast .claude/skills/roast && 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 "roast" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/roast into .claude/skills/roast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roast", 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/notque/vexjoy-agent/tree/main/skills/research/roastType 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 notque/vexjoy-agent --skill roast -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent roast --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research/roast .agents/skills/roast && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "roast" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/roast into .agents/skills/roast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roast", 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 notque/vexjoy-agent --skill roast -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent roast --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research/roast .cursor/skills/roast && 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 "roast" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/roast into .cursor/skills/roast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roast", 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/notque/vexjoy-agent.git --path skills/research/roast--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 notque/vexjoy-agent --skill roast -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent roast --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research/roast .gemini/skills/roast && 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 "roast" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/roast into .gemini/skills/roast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roast", 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 notque/vexjoy-agent roastInstalls 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 notque/vexjoy-agent --skill roast -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research/roast .github/skills/roast && 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 "roast" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/roast into .github/skills/roast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roast", 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 notque/vexjoy-agent --skill roast -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notque/vexjoy-agent roast --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research/roast .opencode/skills/roast && 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 "roast" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/roast into .opencode/skills/roast/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "roast", 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.
roastConstructive critique via 5 HackerNews personas with claim validation.
Roast is an agent skill from notque/vexjoy-agent. Constructive critique via 5 HackerNews personas with claim validation.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/report-template.md`).
It sits in Development. It works with Git and Bash. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepBashTaskSkillFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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.
Roast loads about 3.2k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 19 tokens; SKILL.md has 1,516 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Glob, Grep, Bash, Task, SkillAutomated 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 notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 1,516 words, ~3,164 tokens.
.claude/skills/roast/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This skill produces evidence-based constructive critique through 5 specialized HackerNews commenter personas: Skeptical Senior, Well-Actually Pedant, Enthusiastic Newcomer, Contrarian Provocateur, and Pragmatic Builder. The workflow spawns these personas in parallel, validates all claims against actual files and lines, and synthesizes findings into an improvement-focused report.
Key constraints baked into the workflow:
read-only-ops skill invocation| When | Load | Content |
|---|---|---|
| Phase 5: writing the synthesized report | references/report-template.md | Full report template with tone transformation rules |
Goal: Establish guardrails before any analysis begins.
Call the Skill tool with read-only-ops.
skill: read-only-opsThis ensures no modifications can occur during the analysis workflow.
Allowed operations:
Read tool for file contentsGlob tool for file patternsGrep tool for content searchls, wc, du, git status, git log, git diffForbidden operations:
Write tool -- no file creationEdit tool -- no file modificationrm, mv, cp, mkdir, touch, git add, git commit, git pushIf read-only mode cannot be activated, stop immediately. Never proceed with unguarded analysis.
Gate: Read-only mode active. Proceed only when gate passes.
Goal: Understand the target thoroughly before spawning critical perspectives.
Step 1: Identify target type
| Input | Target | Action |
|---|---|---|
| No argument | README.md + repo structure | Read README, survey project layout |
@file.md | Specific file | Read that file, identify related files |
| Description | Described concept | Search repo for related implementation |
Step 2: Read key files
Use Read tool to examine: README.md, main documentation, key implementation files relevant to the target.
Step 3: Survey structure
Use Glob to map the landscape:
**/*.md for documentation coverageStep 4: Search for patterns
Use Grep to find: specific claims to verify, usage patterns, dependency references, related test files.
Step 5: Ground verbal descriptions
If user describes a concept rather than pointing to a file, search the repo for existing implementation. Critique grounded in actual code beats critique of a strawman every time. Never analyze a verbal description without confirming the code exists.
Gate: Target identified and sufficient context gathered. Proceed only when gate passes.
Goal: Launch 5 agents in parallel, each embodying a roaster persona, analyzing the target with full evidence-gathering discipline.
Launch 5 general-purpose agents in parallel via Task tool. Load the full persona specification from the corresponding agent file into each prompt.
The 5 parallel tasks:
Skeptical Senior (agents/reviewer-code.md, senior lens)
Focus: Sustainability, maintenance burden, long-term viability
Well-Actually Pedant (agents/reviewer-code.md, pedant lens)
Focus: Precision, intellectual honesty, terminological accuracy
Enthusiastic Newcomer (agents/reviewer-perspectives.md, newcomer lens)
Focus: Onboarding experience, documentation clarity, accessibility
Contrarian Provocateur (agents/reviewer-perspectives.md, contrarian lens)
Focus: Fundamental assumptions, alternative approaches
Pragmatic Builder (agents/reviewer-domain.md, pragmatic-builder lens)
Focus: Production readiness, operational concerns
Each agent must:
read-only-ops. Do this first to enforce no-modification guardrails.[CLAIM-N] with specific file:line referencesAgent prompt template: Tell each agent its persona name, role, target, and these requirements: (1) call read-only-ops first, (2) follow their systematic 5-step review process, (3) tag ALL claims as [CLAIM-N] with file:line references, (4) provide specific evidence for every claim. Load the appropriate reviewer agent file for each persona's lens.
CRITICAL: Wait for all 5 agents to complete before proceeding to Phase 4. Do not begin validation on partial results. Every persona must contribute before synthesis can happen.
Gate: All 5 agents complete with tagged claims. Proceed only when gate passes.
Goal: Verify every [CLAIM-N] against actual evidence before including in the report.
Collect and validate every [CLAIM-N] from all 5 agents.
Step 1: Collect all claims
Extract every [CLAIM-N] tag from all 5 agent outputs. For each, track:
Step 2: Validate each claim
For each [CLAIM-N], read the referenced file/line using Read tool and assign a verdict:
| Verdict | Meaning | Criteria |
|---|---|---|
| VALID | Claim is accurate | Evidence directly supports it |
| PARTIAL | Overstated but has merit | Some truth, some exaggeration |
| UNFOUNDED | Not supported | Evidence contradicts or doesn't exist |
| SUBJECTIVE | Opinion, can't verify | Matter of preference/style |
Critical: You must read the file and check the line. Visual inspection misses nuance. "Obviously valid" is a rationalization word. Do not accept a claim because it sounds right or all personas agree on it — consensus is not the same as correctness.
Step 3: Cross-reference
Note claims found independently by multiple agents. If 3+ personas independently identify the same issue, escalate to HIGH priority regardless of individual severity.
Step 4: Prioritize
Sort VALID and PARTIAL findings by impact:
Gate: All claims validated with evidence. Proceed only when gate passes.
Goal: Transform aggressive persona outputs into constructive, actionable report.
Follow the full template in references/report-template.md. Key synthesis rules:
Validation Summary Table (include in report):
## Claim Validation Summary
| Claim | Agent | Verdict | Evidence |
|-------|-------|---------|----------|
| [CLAIM-1] | Senior | VALID | [file:line shows X] |
| [CLAIM-2] | Pedant | PARTIAL | [true that X, but Y mitigates] |
| [CLAIM-3] | Newcomer | UNFOUNDED | [code shows otherwise] |Gate: Report complete with all sections populated. Analysis done.
User says: "Roast this repo"
skill: roastActions:
User says: "Poke holes in the architecture doc"
skill: roast @README.mdActions:
User says: "Devil's advocate on using SQLite for the error learning database"
skill: roast the idea of using SQLite for the error learning databaseActions:
Cause: Persona agent skipped evidence-gathering or analyzed verbally Solution:
Cause: Phase 1 skipped or read-only-ops skill invocation failed
Solution:
read-only-ops. Do this before proceeding.Cause: Persona agent crossed from analysis into implementation Solution:
Cause: User invoked roast without specifying target and no README.md exists Solution:
${CLAUDE_SKILL_DIR}/references/report-template.md: Full report output template with tone transformation rulesagents/reviewer-code.md: Code quality reviewer (senior and pedant lenses)agents/reviewer-perspectives.md: Perspectives reviewer (newcomer and contrarian lenses)agents/reviewer-domain.md: Domain reviewer (pragmatic-builder lens)© notque, 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 1 other file (references) in skills/research/roast of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
Roast 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 |
|---|---|---|---|---|---|---|
| Roast this skillnotque/vexjoy-agent | 435 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Dirextalk DeployerYingSuiAI/dirextalk-deployer | 457 | — | ~7.2k | Automated safety check: Pass | MIT | |
| Cursor Composer Task DelegateChachamaru127/claude-code-harness | 3.2k | — | ~4.4k | Automated safety check: Notes | MIT | |
| Gridbash Panesjasonsuhari/gridbash | 134 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Niubashunixwin/niubash | 146 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Brain Bootstrapmindmuxai/brain.md | 564 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
YingSuiAI/dirextalk-deployer
Deploy, resume, verify, update, recover, reset, or destroy production Dirextalk services and nodes on AWS, and wire local agent runtimes.
Chachamaru127/claude-code-harness
Hands one implementation task to Cursor Composer in an isolated git worktree, then reviews its diff and cherry-picks the result into the main branch.
jasonsuhari/gridbash
Coordinate with sibling agent panes from inside a GridBash grid — list panes and their roles, read what a pane is currently doing, prompt one pane or every other pane, and rename pane titles so the…
unixwin/niubash
Run Windows tasks in Niubash, the GNU Bash-compatible Windows-native shell.
mindmuxai/brain.md
Seed a freshly-scaffolded brain with real project knowledge — on an existing (brownfield) project read the code, docs, and git log to draft the six root pages and capture key historical decisions…
TypedDevs/bashunit
Stage and commit changes using conventional commits format. An agent skill from TypedDevs/bashunit.
notque/vexjoy-agent
Deterministic palette/matrix pixel art (not AI). An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining.
notque/vexjoy-agent
Improve architecture across modules by deepening interfaces.
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Statistical rule discovery from Go codebase patterns. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Review and fix temporal references in code comments. An agent skill from notque/vexjoy-agent.
Categories
Constructive critique via 5 HackerNews personas with claim validation. Roast is an agent skill from notque/vexjoy-agent. Constructive critique via 5 HackerNews personas with claim validation.
Roast fits situations like: development work in your project.
Run `npx skills add notque/vexjoy-agent --skill roast -a claude-code`. Or copy the skill folder (skills/research/roast in notque/vexjoy-agent) into .claude/skills/roast in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notque/vexjoy-agent --skill roast -a codex`. Or copy the skill folder (skills/research/roast in notque/vexjoy-agent) into .agents/skills/roast 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 notque/vexjoy-agent --skill roast -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/roast, .gemini/skills/roast, .github/skills/roast and .opencode/skills/roast in your project.
Going by SKILL.md and its folder, Roast needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Read, Glob, Grep, Bash, Task, Skill.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Roast is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k 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 1.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Roast: Dirextalk Deployer (YingSuiAI/dirextalk-deployer, 457 stars), Cursor Composer Task Delegate (Chachamaru127/claude-code-harness, 3.2k stars), Gridbash Panes (jasonsuhari/gridbash, 134 stars) and Niubash (unixwin/niubash, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 435 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.