search-discipline

search-discipline is a skill for Claude Code, Codex from Hawkynt/ClaudeCodePortable. It costs 97 tokens per session (849 once invoked), scanned A, original, LGPL-3.0.

Guidance for deciding whether to search the web and for forming useful search queries. It covers unfamiliar terms, changing information, source quality, and how much research a question needs.

In plain words
What is it for?
Use it when answering factual questions, checking products or APIs, investigating unfamiliar names, or deciding whether current online sources are needed.
Why use it?
It helps an agent avoid relying on outdated or guessed information and choose an appropriate level of web research.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it when answering factual questions, checking products or APIs, investigating unfamiliar names, or deciding whether current online sources are needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hawkynt/claudecodeportable/search-discipline
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 Hawkynt/ClaudeCodePortable --skill search-discipline
Clone the repo
git clone --depth 1 https://github.com/Hawkynt/ClaudeCodePortable

Made for: Claude Code, Codex.

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 search-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/hawkynt/claudecodeportable/search-discipline/github.svg)](https://agentmods.dev/skills/hawkynt/claudecodeportable/search-discipline)
Your own site
<a href="https://agentmods.dev/skills/hawkynt/claudecodeportable/search-discipline"><img src="https://agentmods.dev/badge/skills/hawkynt/claudecodeportable/search-discipline/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 search-discipline

Your own site · 80×15
<a href="https://agentmods.dev/skills/hawkynt/claudecodeportable/search-discipline"><img src="https://agentmods.dev/badge/skills/hawkynt/claudecodeportable/search-discipline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 849 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.
Origin unknown 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 $0.00097 $0.00849
Opus 5 $0.00048 $0.00425
Sonnet 5 $0.00019 $0.00170
Haiku 4.5 $0.00010 $0.00085

Measured 12d ago against content hash 0f9c52613697, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

search-discipline 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 12d 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.

templates/skills/search-discipline/SKILL.md · 34 lines

The source is not reproduced here

Licensed LGPL-3.0

The repository is licensed LGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 12d ago First seen · 34 lines · 97 tokens per session scan A 0f9c52613697

Subscribe to this mod's changes

search-discipline is a skill published in the GitHub repository Hawkynt/ClaudeCodePortable (2 stars, last pushed today), licensed LGPL-3.0. It adds 97 tokens to every session and 849 once invoked, about $0.0005 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 2026-08-31.

Related

Other skills, from other repositories

agent-computer-use

REQUIRED for any task that involves operating a desktop application — opening apps, clicking buttons, typing into fields, pressing keys, scrolling, dragging, reading what's on screen, moving or resizing windows, or verifying state after an action. Always use the agent-cu CLI commands (open, snapshot, click, type, key…

kortix-ai/agent-computer-use · 216 tokens

shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing…

synthetic-sciences/openscience · 109 tokens

rowan

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve…

synthetic-sciences/openscience · 115 tokens

create-skill

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

warpdotdev/warp · 64 tokens

figma-create-design-system-rules

Generates custom design system rules for the user's codebase. Use when user says "create design system rules", "generate rules for my project", "set up design rules", "customize design system guidelines", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server…

warpdotdev/warp · 71 tokens

figma-generate-design

Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the…

warpdotdev/warp · 160 tokens