Agent skill

Roast

by jigripokri in jigripokri/POHA

Generate a group-chat roast on demand. An agent skill from jigripokri/POHA.

MITAuto-check passed

Install Roast

skills CLI
$ npx skills add jigripokri/POHA --skill roast -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jigripokri/POHA roast --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jigripokri/POHA.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/roast .claude/skills/roast && rm -rf skills-src

Use ~/.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/

Facts

Skill name
roast
GitHub stars
120
Token cost
~524 tokens
SKILL.md length
297 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Generate a group-chat roast on demand. An agent skill from jigripokri/POHA.

  • Works in 7 steps: Identify the target (a person, a recent… → Read the last 30–50 messages in the… → Identify the roastable seam → …
  • SKILL.md covers Recipe, Roast rules (hard limits) and Voice rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Roast is an agent skill from jigripokri/POHA. Generate a group-chat roast on demand. Tuned to the specific group's tone. Use with caution.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Personal Overnight Helper Agent. Runs while you sleep. Serves up a morning brief before your alarm. The licence is MIT.

Example prompts

  • “/roast”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify the target (a person, a recent message they sent, a running joke).
  2. Read the last 30–50 messages in the group chat. Critical step — the roast has to match the group's existing tone and reference shared…
  3. Identify the roastable seam
  4. Calibrate intensity to the group
  5. Generate 2–3 options. Different angles or escalation levels.
  6. Show the options. Wait for "send X."
  7. On approval, send via WhatsApp/Slack/wherever the group lives.

What it can do on your machine

Read from SKILL.md and the folder at commit 68f3e38. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Roast loads about 524 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 297 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~524

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from jigripokri/POHA at commit 68f3e38, republished under its MIT licence (© jigripokri). 297 words, ~524 tokens.

Download SKILL.mdSave it as .claude/skills/roast/SKILL.md (or your agent's skills folder).
name
roast
description
Generate a group-chat roast on demand. Tuned to the specific group's tone. Use with caution.

/roast

User wants to deploy a roast in a group chat. You write it. They send it.

Recipe

  1. Identify the target (a person, a recent message they sent, a running joke).

  2. Read the last 30–50 messages in the group chat. Critical step — the roast has to match the group's existing tone and reference shared material.

  3. Identify the roastable seam:

    • A recent flex that backfired
    • A predictable behavior pattern of the target
    • A callback to an old joke at their expense
    • A new piece of information that contradicts their stated position
    • A comparison that punctures their self-image
  4. Calibrate intensity to the group:

    • Light: gentle ribbing, lots of love underneath
    • Medium: pointed, but with a clear out (target can laugh)
    • Hot: no quarter, but stays inside group norms

    Default to Medium unless the group's recent tone is clearly Hot.

  5. Generate 2–3 options. Different angles or escalation levels.

  6. Show the options. Wait for "send X."

  7. On approval, send via WhatsApp/Slack/wherever the group lives.

Roast rules (hard limits)

  • No body-shaming. Ever.
  • No real shots at the target's family unless they've made a self-deprecating reference first.
  • No racism, sexism, homophobia, transphobia. Even when group "ironically" jokes that way.
  • No quoting from carry-on.md. This skill cannot reference any private file.
  • No bringing up the target's actual current pain (job loss, health, relationship). Roasts are for ambient material, not actual wounds.
  • One landed roast > three forced ones. If nothing's good enough, say so. "Nothing roastable in this thread right now — wait for them to set something up."

Voice rules

Mirror the group's vocabulary, slang, and inside jokes. A good roast feels like the group wrote it, not an outsider.

If the user wants the AI's voice to come through, that's a different skill — this one is invisible.

© jigripokri, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/roast of jigripokri/POHA.

Open the folder on GitHubat commit 68f3e38

Compare with similar skills

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.

Roast compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Roast this skilljigripokri/POHA120—~524Automated safety check: PassMIT
Roastalirezarezvani/claude-skills28k—~2.6kAutomated safety check: PassMIT
LLM Fine Tuningsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT
Fine Tuning With TrlOrchestra-Research/AI-Research-SKILLs13k6 repos~2.9kAutomated safety check: PassMIT
Agent Platform Tuninggoogle/skills21k—~9.6kAutomated safety check: PassApache-2.0
Groupsparcadei/Continuous-Claude-v33.9k1 repos~956Automated safety check: NotesMIT

Similar skills

  • Roast

    alirezarezvani/claude-skills

    A skill your agent uses when someone asks to roast an idea, pressure-test or stress-test an idea, validate a business idea, "convene the panel", get a brutal second opinion before building…

    28k GitHub stars~2.6k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed
  • LLM Fine Tuning

    sickn33/agentic-awesome-skills

    Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP.

    47k GitHub starsUsed in 1 repo~2.3k tokens
    AI & LLM EngineeringAuto-check passed
  • Fine Tuning With Trl

    Orchestra-Research/AI-Research-SKILLs

    Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training.

    13k GitHub starsUsed in 6 repos~2.9k tokens
    AI & LLM EngineeringAuto-check passed
  • Official

    Agent Platform Model Tuning. An agent skill from google/skills.

    21k GitHub stars~9.6k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Groups

    parcadei/Continuous-Claude-v3

    Problem-solving strategies for groups in abstract algebra. An agent skill from parcadei/Continuous-Claude-v3.

    3.9k GitHub starsUsed in 1 repo~956 tokens
    Research & ScienceAuto-check: notes
  • Official

    Manages GenAI tuning jobs in Agent Platform. An agent skill from google/skills.

    21k GitHub stars~1.9k tokensUpdated today
    AI & LLM EngineeringAuto-check passed

More from jigripokri/POHA

  • Gsd

    jigripokri/POHA

    Generate a prioritized punch list from open commitments + tasks, right now.

    120 GitHub stars~435 tokensUpdated 4 mo ago
    Auto-check passed
  • Reply

    jigripokri/POHA

    Generate 3 reply options + a recommendation for any incoming message thread.

    120 GitHub stars~430 tokensUpdated 4 mo ago
    Auto-check passed
  • Wildcard

    jigripokri/POHA

    Generate one contrarian, non-obvious insight on whatever the user is thinking about.

    120 GitHub stars~512 tokensUpdated 4 mo ago
    Auto-check passed
  • Draft

    jigripokri/POHA

    Drafts outbound messages (WhatsApp, SMS, email) in the user's voice.

    120 GitHub stars~540 tokensUpdated 4 mo ago
    Auto-check passed

Questions about Roast

What does Roast do?

Generate a group-chat roast on demand. An agent skill from jigripokri/POHA. Roast is an agent skill from jigripokri/POHA. Generate a group-chat roast on demand.

How do I install Roast in Claude Code?

Run `npx skills add jigripokri/POHA --skill roast -a claude-code`. Or copy the skill folder (skills/roast in jigripokri/POHA) into .claude/skills/roast in your project. Claude Code loads it when a task matches its description.

How do I install Roast in Codex?

Run `npx skills add jigripokri/POHA --skill roast -a codex`. Or copy the skill folder (skills/roast in jigripokri/POHA) into .agents/skills/roast in your project. Codex loads it when a task matches its description.

Can I use Roast in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jigripokri/POHA --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.

What does Roast need to run?

SKILL.md names no scripts, command-line tools or credentials: Roast is instructions for the agent only.

Does Roast access the network?

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.

Is Roast safe to install?

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.

What licence does Roast use?

Roast is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Roast use?

About 524 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Roast?

Skills that share tags, products or a category with Roast: Roast (alirezarezvani/claude-skills, 28k stars), LLM Fine Tuning (sickn33/agentic-awesome-skills, 47k stars), Fine Tuning With Trl (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Agent Platform Tuning (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Roast?

jigripokri (a GitHub user) maintains it in jigripokri/POHA, which has 120 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on June 2, 2026.

Source: jigripokri/POHA on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.