grok-prompting

grok-prompting is a skill for Claude Code from LovelaceLoom/grok-plugin-cc. It costs 30 tokens per session (1,065 once invoked), scanned A, original, Apache-2.0.

A prompt-writing guide for Grok inside a coding plugin. Grok is an AI assistant, and a prompt is the instruction given to it for a coding, review, diagnosis, or research task.

In plain words
What is it for?
Use it within the Grok rescue workflow to improve prompts for debugging, code changes, code review, diagnosis, or research, especially when the question depends on current web or X information.
Why use it?
It helps turn a broad request into a short instruction containing the goal, relevant codebase context, and constraints. It is specifically meant to prepare requests before another Grok task is called.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code.

Part of the grok plugin — 8 skills, 21 commands, 2 agents, 3 hooks shipped together

Good fit Use it within the Grok rescue workflow to improve prompts for debugging, code changes, code review, diagnosis, or research, especially when the question depends on current web or X information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lovelaceloom/grok-plugin-cc/grok-prompting
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 LovelaceLoom/grok-plugin-cc --skill grok-prompting
Clone the repo
git clone --depth 1 https://github.com/LovelaceLoom/grok-plugin-cc

Made for: Claude Code.

Or install grok, the plugin that ships this one along with the rest of its 8 skills, 21 commands, 2 agents, 3 hooks.

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 grok-prompting

README.md
[![agentmods](https://agentmods.dev/badge/skills/lovelaceloom/grok-plugin-cc/grok-prompting/github.svg)](https://agentmods.dev/skills/lovelaceloom/grok-plugin-cc/grok-prompting)
Your own site
<a href="https://agentmods.dev/skills/lovelaceloom/grok-plugin-cc/grok-prompting"><img src="https://agentmods.dev/badge/skills/lovelaceloom/grok-plugin-cc/grok-prompting/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 grok-prompting

Your own site · 80×15
<a href="https://agentmods.dev/skills/lovelaceloom/grok-plugin-cc/grok-prompting"><img src="https://agentmods.dev/badge/skills/lovelaceloom/grok-plugin-cc/grok-prompting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,065 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 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 $0.00030 $0.01065
Opus 5.5 $0.00012 $0.00426
Sonnet 5.5 $0.00006 $0.00213
Haiku 4.5 $0.00003 $0.00106

Measured 2mo ago against content hash 125fd19da284, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

grok-prompting 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 2mo 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/grok/skills/grok-prompting/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Composing Grok prompts

Use this skill from inside grok:grok-rescue (and only there) to tighten a user's free-form rescue request into a more effective Grok prompt before calling task.

This skill draws on Grok's distinct strengths:

  • Live web/X search awareness — Grok can search current information on the web and on X (Twitter) without being limited to a training cutoff. Prefer asking Grok for help on questions that depend on recent events, recent docs, or live discourse.
  • Code-focused model defaults — the default model (grok-build) is tuned for advanced coding work with a 512K-token context window, so it can absorb a substantial portion of a codebase at once.
  • Distinct reasoning style — Grok tends to be direct and willing to take strong positions. Don't pad the prompt with hedging.

Prompt structure

A good rescue prompt for Grok is short, direct, and grounded:

  1. Goal — one sentence stating what the user wants resolved or answered.
  2. Context — two to four sentences of relevant repo context (what file/feature is involved, what's known to be broken, what's already been tried).
  3. Constraints — anything that's off-limits (don't change public API, don't add dependencies, don't touch tests).
  4. Output expectation — what Grok should return: an explanation, a diagnosis, a patch plan, or actual code edits.

Patterns

User intent Prompt pattern
"investigate why X" Goal: diagnose root cause. Context: behavior + reproduction. Output: ranked list of suspect causes with evidence.
"fix the failing test" Goal: make <test name> pass. Context: test file + recent changes. Output: minimal patch + explanation.
"explain how X works" Goal: explain the data/control flow of <feature>. Output: a walkthrough citing files and line numbers.
"what should the design be" Goal: propose a design for <feature>. Output: 2–3 options with tradeoffs, then a recommendation.
"what changed about X recently" Goal: identify recent ecosystem changes (web search). Context: the framework/library. Output: dated summary + sources.

Read the full file on GitHub · 60 lines

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. 2mo ago First seen · 60 lines · 30 tokens per session scan A 125fd19da284

Subscribe to this mod's changes

grok-prompting is a skill published in the GitHub repository LovelaceLoom/grok-plugin-cc (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,065 once invoked, about $0.0001 per session on Opus 5.5. 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

grok-prompting compared with skills from other repositories

grok-prompting next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
grok-promptingLovelaceLoom/grok-plugin-ccSkill53mo agoApache-2.0A30Claude Code
meta-promptingiliaal/whetstoneSkill352d agoMITA104Claude Code, Codex
refine-promptiliaal/whetstoneSkill352d agoMITA62Claude Code, Codex
prompt-registry-helperAmadeusITGroup/ai-primitives-hubSkill51yesterdaynoneA76Claude Code, Codex
prompt-optimizerAznatkoiny/zAI-SkillsSkill103mo agoMITA205Claude Code
midjourney-prompterinbharatai/claude-skillsSkill437mo agoMITA28Claude Code, Codex
stable-diffusion-helperinbharatai/claude-skillsSkill437mo agoMITA30Claude Code, Codex