Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mhmdreza-rafiei/agent-toolsnpx agentmods add skills/mhmdreza-rafiei/agent-tools/enhance-prompt-setupWrote 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.
[](https://agentmods.dev/skills/mhmdreza-rafiei/agent-tools/enhance-prompt-setup)<a href="https://agentmods.dev/skills/mhmdreza-rafiei/agent-tools/enhance-prompt-setup"><img src="https://agentmods.dev/badge/skills/mhmdreza-rafiei/agent-tools/enhance-prompt-setup/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.
<a href="https://agentmods.dev/skills/mhmdreza-rafiei/agent-tools/enhance-prompt-setup"><img src="https://agentmods.dev/badge/skills/mhmdreza-rafiei/agent-tools/enhance-prompt-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.01029 |
| Opus 5 | $0.00028 | $0.00515 |
| Sonnet 5 | $0.00011 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
enhance-prompt-setup 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/enhance-prompt-setup
Wire enhance-prompt and related catalog artifacts into a target project so agents can enhance prompts on demand or on every message (auto).
When to use
- User says
enhance-prompt setup,/enhance-prompt-setup, or "set up prompt enhancement on this project" - Bootstrapping a repo like
agent-toolswith prompt skills + rules - Enabling auto mode: enhance every user message internally before acting (no
/enhance-prompteach time)
Commands
| Command | Mode | Effect |
|---|---|---|
/enhance-prompt-setup |
normal | Install prompt stack; user invokes enhance manually |
/enhance-prompt-setup auto |
auto | Same + enhance-prompt-auto rule (alwaysApply) |
/enhance-prompt-setup global |
normal, global | Install to ~ via agentry -g |
/enhance-prompt-setup auto global |
auto, global | Auto rule + skills globally |
Script equivalent:
node scripts/setup-enhance-prompt/run.mjs . # project, normal
node scripts/setup-enhance-prompt/run.mjs . --auto # project, auto
node scripts/setup-enhance-prompt/run.mjs ~ -g --auto -y # global, auto
What gets installed
Normal (enhance-prompt profile)
| Kind | Artifact | Role |
|---|---|---|
| skill | enhance-prompt |
Rewrite prompts; modes auto / manual / self |
| skill | workflow/enhance-prompt-setup |
This setup skill |
| rule | ask-dont-guess |
Ask when unclear |
| rule | ai-attribution |
No AI co-author trailers |
| rule | prompt-quality |
On-demand prompt quality bar |
| agent | ai/prompt-architect |
Architect prompt templates (optional) |
User calls /enhance-prompt or enhance-prompt self use when they want enhancement.
Auto (enhance-prompt-auto profile)
Everything in normal, plus:
| Kind | Artifact | Role |
|---|---|---|
| rule | global/enhance-prompt-auto |
alwaysApply: enhance internally before every task |
Agent enhances every task message in auto/self mode without the user saying so.
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.
- 8d ago First seen · 106 lines · 55 tokens per session scan A 6999a58b4b24
enhance-prompt-setup is a skill published in the GitHub repository mhmdreza-rafiei/agent-tools (5 stars, last pushed 24d ago), licensed MIT. It adds 55 tokens to every session and 1,029 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
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…
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…
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…