prohibit-bad-habits

prohibit-bad-habits is a skill for Claude Code, Codex from OutlineDriven/odin-claude-plugin. It costs 37 tokens per session (1,166 once invoked), scanned A, original, Apache-2.0.

A tool for documenting behaviors an agent must avoid in a structured project document or rule file.

In plain words
What is it for?
Writing prohibited-pattern entries with descriptions, consequences, categories, and optional alternatives.
Why use it?
It records concrete bad habits and their consequences in a form that can guide future agent behavior.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions AGENTS.md.

Part of the odin-agent plugin — 46 skills shipped together

Good fit Writing prohibited-pattern entries with descriptions, consequences, categories, and optional alternatives.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OutlineDriven/odin-claude-plugin --skill prohibit-bad-habits
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-claude-plugin

Made for: Claude Code, Codex.

Or install odin-agent, the plugin that ships this one along with the rest of its 46 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prohibit-bad-habits

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits/github.svg)](https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prohibit-bad-habits

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/prohibit-bad-habits.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01166
Opus 5 $0.00018 $0.00583
Sonnet 5 $0.00007 $0.00233
Haiku 4.5 $0.00004 $0.00117

Measured 5d ago against content hash 754f8a08c0f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prohibit-bad-habits scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/odin-agent/skills/prohibit-bad-habits/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prohibit bad habits

Contract

Field Bound contract
Trigger Human requests that specific agent behavior patterns be documented as prohibited in a structured project document or agent-rule file rather than in AGENTS.md.
Authority Reversible local: writes only the named local artifact; rollback is deleting the written file if it did not exist before and the human has not confirmed it. No remote mutation.
Side effect Local file write: creates or updates one structured project document or agent-rule file that enumerates prohibited agent behavior patterns.
Done A structured artifact exists at the agreed target path and contains at least one prohibited-habit entry with a non-empty name and description, verified by the human.

Inputs

  • Prohibited patterns: required. For each pattern, the human supplies a short name, a concrete description of the behavior to avoid, the negative consequence of that behavior, and optionally a category and a workaround or alternative. If the human cannot supply a concrete description, stop rather than invent one.
  • Target location: optional. The human may specify the exact file path. Default: docs/prohibited-habits.md for shared project docs; agent-rules/prohibited-habits.yaml for agent-rule locations.
  • Authority confirmation: the human confirms or revises the target path before the write occurs.

Procedure

  1. Gather prohibited patterns. Ask the human to list each pattern to prohibit. For each, collect: name (short identifier), description (concrete behavior to avoid), consequence (what goes wrong when the agent does this), and optionally category and workaround. If the human cannot supply a concrete description, stop without writing. Done when: every pattern the human listed has a name and a concrete description, and any pattern lacking a description is named as blocked rather than invented.
  2. Confirm target location. Accept the human's specified path, or use docs/prohibited-habits.md for a shared-project location or agent-rules/prohibited-habits.yaml for an agent-rules location. Present the chosen path to the human and wait for confirmation before proceeding. Done when: the human has confirmed or revised the path, and the path is recorded for the write.
  3. Choose format. Use Markdown (*.md) if the target is under docs/ or the human requests it. Use YAML (*.yaml) if the target is under agent-rules/ or multiple agent-rule files already exist in the project. Otherwise default to Markdown. Done when: the format matches the target path extension, or the default is chosen and the path extension agrees with it.
  4. Draft file content. Write the following structure to the confirmed path:

Read the full file on GitHub · 64 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · -14 tokens per session 754f8a08c0f0
  2. 7d ago First seen · 64 lines · 51 tokens per session scan A e27c42ec2333

Subscribe to this mod's changes

prohibit-bad-habits is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed 2d ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,166 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens