agent-system-prompt

agent-system-prompt is a command for Claude Code from Amey-Thakur/AI-SKILLS. It costs 25 tokens per session (396 once invoked), scanned A, original, MIT.

A method for writing the instructions that control an AI agent's role, tools, limits, working process, and response format. A system prompt is the guidance the agent follows throughout its task.

In plain words
What is it for?
Use it to specify an agent's purpose, available tools, error handling, prohibited actions, confirmation requirements, work method, and exact completion or failure format.
Why use it?
It makes the agent's responsibilities and boundaries explicit, reducing unclear decisions, unsafe actions, and inconsistent outputs.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to specify an agent's purpose, available tools, error handling, prohibited actions, confirmation requirements, work method, and exact completion or failure format.

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Install with agentmods
npx agentmods add commands/amey-thakur/ai-skills/agent-system-prompt
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.

Clone the repo
git clone --depth 1 https://github.com/Amey-Thakur/AI-SKILLS

Made for: Claude Code.

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 agent-system-prompt

README.md
[![agentmods](https://agentmods.dev/badge/commands/amey-thakur/ai-skills/agent-system-prompt/github.svg)](https://agentmods.dev/commands/amey-thakur/ai-skills/agent-system-prompt)
Your own site
<a href="https://agentmods.dev/commands/amey-thakur/ai-skills/agent-system-prompt"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/agent-system-prompt/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 agent-system-prompt

Your own site · 80×15
<a href="https://agentmods.dev/commands/amey-thakur/ai-skills/agent-system-prompt"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/agent-system-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 396 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 $0.00025 $0.00396
Opus 5 $0.00013 $0.00198
Sonnet 5 $0.00005 $0.00079
Haiku 4.5 $0.00003 $0.00040

Measured 11d ago against content hash 2f14855ad7b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

agent-system-prompt 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 11d 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.

commands/agent-system-prompt.md · 42 lines

What it actually says

You were invoked as a slash command. The user's input:

$ARGUMENTS

Use that input to fill this prompt's variables (take the main content, topic, or task from it; ask only if a required value is missing and not supplied), then follow the prompt exactly.


Write a system prompt for an AI agent.

Purpose: {purpose} Tools and constraints: {tools}

Cover, in order:

  • Role and objective: who the agent is and what success looks like, in one or two sentences. Concrete, not "you are a helpful assistant".
  • Capabilities and tools: what it can do, when to use each tool, and how to handle tool errors (retry, fall back, report). Reference tools by what they are for, not just their names.
  • Boundaries: what it must NOT do, what requires confirmation, and how to handle requests outside its scope or that it cannot safely fulfill. Be explicit: agents follow the boundaries you write, not the ones you assumed.
  • Method: how to approach the task (plan first, verify before acting on irreversible steps, when to ask versus proceed).
  • Output format: exactly how to respond, and how to report completion or failure.

Rules: precise and unambiguous (an agent does exactly what the prompt says, including the gaps: vagueness becomes unpredictable behavior). Front-load the most important instructions (models weight the start heavily). State boundaries and safety as hard rules, not suggestions. Keep it lean: every instruction competes for attention, so cut what does not change behavior. If the purpose implies risks (irreversible actions, sensitive data), build in the guardrails explicitly.

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. 11d ago First seen · 42 lines · 25 tokens per session scan A 2f14855ad7b9

Subscribe to this mod's changes

agent-system-prompt is a command published in the GitHub repository Amey-Thakur/AI-SKILLS (7 stars, last pushed 5d ago), licensed MIT. It adds 25 tokens to every session and 396 once invoked, about $0.0001 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.