Borrowing it
Nothing to install: this file belongs to agent-sh/agentsys. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/agent-sh/agentsys/main/.kiro/skills/enhance-agent-prompts/SKILL.mdgit clone --depth 1 https://github.com/agent-sh/agentsysWrote 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/agent-sh/agentsys/enhance-agent-prompts)<a href="https://agentmods.dev/skills/agent-sh/agentsys/enhance-agent-prompts"><img src="https://agentmods.dev/badge/skills/agent-sh/agentsys/enhance-agent-prompts/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/agent-sh/agentsys/enhance-agent-prompts"><img src="https://agentmods.dev/badge/skills/agent-sh/agentsys/enhance-agent-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.01896 |
| Opus 5 | $0.00010 | $0.00948 |
| Sonnet 5 | $0.00004 | $0.00379 |
| Haiku 4.5 | $0.00002 | $0.00190 |
Grade A, and why
enhance-agent-prompts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
enhance-agent-prompts
Analyze agent prompt files for prompt engineering best practices.
Parse Arguments
const args = '$ARGUMENTS'.split(' ').filter(Boolean);
const targetPath = args.find(a => !a.startsWith('--')) || '.';
const fix = args.includes('--fix');
const verbose = args.includes('--verbose');
Agent File Locations
| Platform | Global | Project |
|---|---|---|
| Claude Code | ~/.claude/agents/*.md |
.claude/agents/*.md |
| OpenCode | ~/.config/opencode/agents/*.md |
.opencode/agents/*.md |
| Codex | ~/.codex/skills/ |
AGENTS.md |
Workflow
- Discover - Find agent .md files
- Parse - Extract frontmatter, analyze content
- Check - Run 30 pattern checks
- Report - Generate markdown output
- Fix - Apply auto-fixes if --fix flag
Detection Patterns
1. Frontmatter (HIGH)
---
name: agent-name # Required: kebab-case
description: "What and when" # Required: WHEN to use (see "Intern Test")
tools: Read, Glob, Grep # Required: restricted list
model: sonnet # Optional: opus | sonnet | haiku
---
Model Selection:
- opus: Complex reasoning, errors compound
- sonnet: Most agents, validation
- haiku: Mechanical execution, no judgment
Tool Syntax: Read, Read(src/**), Bash(git:*), Bash(npm:*)
The "Intern Test" - Can someone invoke this agent given only its description?
# Bad
description: Reviews code
# Good - triggers, capabilities, exclusions
description: Reviews code for security vulnerabilities. Use for PRs touching auth, API, data handling. Not for style reviews.
2. Structure (HIGH)
Required sections: Role ("You are..."), Output format, Constraints
Position-aware order (LLMs recall START/END better than MIDDLE):
- Role/Identity (START)
- Capabilities, Workflow, Examples
- Constraints (END)
3. Instruction Effectiveness (HIGH)
Positive over negative:
- Bad: "Don't assume file paths exist"
- Good: "Verify file paths using Glob before reading"
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.
- 10d ago First seen · 278 lines · 19 tokens per session scan A bc14b537ff6f
enhance-agent-prompts is a skill published in the GitHub repository agent-sh/agentsys (984 stars, last pushed 3d ago), licensed MIT. It adds 19 tokens to every session and 1,896 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 2026-08-30.
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