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.
npx skills add cloudnative-co/claude-code-starter-kit --skill prompt-patternsgit clone --depth 1 https://github.com/cloudnative-co/claude-code-starter-kitWrote 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/cloudnative-co/claude-code-starter-kit/prompt-patterns)<a href="https://agentmods.dev/skills/cloudnative-co/claude-code-starter-kit/prompt-patterns"><img src="https://agentmods.dev/badge/skills/cloudnative-co/claude-code-starter-kit/prompt-patterns/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/cloudnative-co/claude-code-starter-kit/prompt-patterns"><img src="https://agentmods.dev/badge/skills/cloudnative-co/claude-code-starter-kit/prompt-patterns.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 | $0.00028 | $0.00760 |
| Opus 5.5 | $0.00011 | $0.00304 |
| Sonnet 5.5 | $0.00006 | $0.00152 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
prompt-patterns 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 1mo 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Patterns for Claude Code
Discovery Patterns
Interview-Driven Spec
Instead of writing a spec yourself, let Claude interview you:
Start with a minimal description of what I want to build, then interview me
using AskUserQuestion tool. Ask one question at a time until you have enough
information to write a complete specification. Then create the spec document.
Creates better specs than writing them manually. Claude asks questions you wouldn't think of.
Codebase Understanding
Read the entire codebase and explain the architecture to me as if I'm a new
team member. Focus on: data flow, key abstractions, and non-obvious design decisions.
Quality Challenge Patterns
Grill Mode
After implementation, challenge Claude to prove correctness:
Grill me on these changes and don't make a PR until I pass your test.
or
Prove to me this works. Diff between main and this branch, explain every change,
and identify any edge cases we missed.
Elegant Redo
When a fix works but feels hacky:
Knowing everything you know now, scrap this and implement the elegant solution.
Claude's second attempt is almost always better because it has full context of the problem.
Self-Critique
Review the code you just wrote as a senior engineer. Be harsh.
What would you change if this was going into a production system
serving 10 million users?
Efficiency Patterns
Subagent Offloading
When context is getting heavy:
Use subagents to investigate [topic]. Keep the main context clean.
Explicitly telling Claude to use subagents prevents context pollution.
Batch Operations
Process these 5 files in parallel using subagents. Each subagent handles one file.
Collect all results and present a unified summary.
Deep Reasoning
For complex design and architecture decisions:
- Use Plan Mode for work that benefits from an explicit reviewed plan before changes.
- Extended thinking is controlled by the harness (thinking toggle / effort settings), not by magic keywords in the prompt.
- In the prompt itself, ask for depth in natural language, e.g.:
Before implementing, compare alternative designs and their trade-offs.
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.
- 1mo ago First seen · 119 lines · 28 tokens per session scan A a8cf0b80d7f2
prompt-patterns is a skill published in the GitHub repository cloudnative-co/claude-code-starter-kit (153 stars, last pushed 5d ago), licensed MIT. It adds 28 tokens to every session and 760 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 2026-08-30.
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