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Octocode Roast

Community
bgauryy
octocode-roast

Use when code needs a blunt evidence-backed roast or memorable critique: smell inventory, debt ranking, hot-path autopsy, savage/diff review, security or performance sins, or practical redemption paths. Phrases like roast this, brutal review, top sins, cleanup debt. Polite evidence-first PR review → octocode-research.

Overview

Publisherbgauryy
Repositoryoctocode
Skill nameoctocode-roast
Stars
950
Forks
78
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bgauryy on GitHub. Read the source before you install it.

Installation

Install the Octocode Roast AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bgauryy/octocode/tree/main/skills/octocode-roast
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bgauryy/octocode.git /tmp/octocode
mkdir -p .claude/skills
cp -r /tmp/octocode/skills/octocode-roast .claude/skills/octocode-roast
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Octocode Roast in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Octocode Roast on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Octocode Roast is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Octocode Roast

Sharp code critique with proof and a repair path. Flow: TARGET → INSPECT → INVENTORY → AUTOPSY → CHECKPOINT → REDEEM.

Lobby rules

  • Target patterns, never people; obey the requested scope and widen only with approval.
  • Cite or drop it: every major finding needs an exact anchor, impact, confidence, and repair move.
  • Obey explicit user targets first. Only widen to staged/diff/repo scope when no target was given or the user asks for a broader pass.
  • Punch the code, not the coder; avoid insults about ability, identity, or experience.
  • Never reveal a secret; redact values and use restrained language for security or production-sensitive findings.
  • Rank confirmed security, data loss, correctness, and user-impacting performance above style or taste.
  • Default to medium tone; use savage/nuclear only when explicitly requested. Do not edit or install before consent.
  • Stop when: the target resolves to no files; the checkpoint is reached — important versus redundant findings summarized, nothing edited yet; a repair, a scope widening, or an install needs consent; savage/nuclear tone was not requested; or evidence is pattern-only — report the lead with its confidence instead of asserting exploitability, latency, or outage.

Severity

  • Capital offenses: confirmed secret exposure, injection/RCE paths, data loss or corruption, auth/access bypass.
  • Felonies: risky security controls, N+1 or hot-path performance damage, brittle async/concurrency, dangerous coupling, change-blocking god functions.
  • Crimes: broad type abuse, hidden state, poor errors, missing tests around risky logic.
  • Slop: duplicate ceremony, AI-ish verbosity, unclear naming, style residue that slows maintenance.
  • Misdemeanors: TODO fossils, console logs, formatting noise. If there are 20+ issues, triage the top 10 by impact and confidence, then separate important findings from redundant noise.

Smart routes — load only what the current step needs

  • When you have the target and are ready to inspect it, load references/roast-playbook.md — the phase-by-phase run through inspection, inventory, autopsy, and the pre-fix checkpoint.
  • When building the inventory and ranking generic smells, load references/sin-catalog.md; for language-specific patterns or structural queries load references/language-sins.md — choose evidence appropriate to the code.
  • When the user picks repairs at the checkpoint, load references/redemption-flow.md — redeem findings through consent-gated fixes and verification.
  • When scope spans a monorepo or many categories, load references/parallel-roasting.md — split the inspection and inventory across workers without duplicating findings.
  • When research tooling is needed, load references/octocode.md and use octocode-research if available — verify before joking; mark reduced coverage otherwise.
  • When improving this skill, prefer octocode-graph-eval; otherwise load references/improve-loop.md — require an accept/revert criterion.

Related routes

  • Use octocode-research for evidence gathering; octocode-graph-eval to measure roast usefulness; octocode-prompt-optimizer only for tone/instruction wording.
  • Use octocode-skills when changing this skill folder.

Output

Use: Top roast, Important findings, Redundant / low-value findings, Autopsy, Redemption paths, Fix checkpoint. Each finding includes file:line, evidence, impact, confidence, and repair move.

Scripts

None — this skill is instruction-only. Evidence comes from octocode-research and the host's own repo tools; verification runs the target project's own checks.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Octocode Roast AI skill do?

Use when code needs a blunt evidence-backed roast or memorable critique: smell inventory, debt ranking, hot-path autopsy, savage/diff review, security or performance sins, or practical redemption paths. Phrases like roast this, brutal review, top sins, cleanup debt. Polite evidence-first PR review → octocode-research.

Why use Octocode Roast on TypingMind?

Because you install it once and use it with any model. Octocode Roast is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Octocode Roast in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bgauryy/octocode/tree/main/skills/octocode-roast. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Octocode Roast?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Octocode Roast?

As many as you like. As long as a model supports skills, you can use Octocode Roast with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Octocode Roast AI skill free?

Yes. It is published on GitHub by bgauryy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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