PRP is a collection of prompts and workflows for AI-assisted software development with Claude Code. Its Product Requirement Prompts combine product requirements, selected codebase context, and an execution runbook so a coding agent can implement a vertical slice of software. The catalogue entries are the project’s own skills, agents, instructions, hook, and plugin workflows.
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 agentmods add skills/wirasm/prp/prp-spikenpx skills add Wirasm/prp --skill prp-spikegit clone --depth 1 https://github.com/Wirasm/prpWrote 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/wirasm/prp/prp-spike)<a href="https://agentmods.dev/skills/wirasm/prp/prp-spike"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-spike.svg" alt="Measured on agentmods" 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 | $0.00141 | $0.03419 |
| Opus 5 | $0.00071 | $0.01709 |
| Sonnet 5 | $0.00028 | $0.00684 |
| Haiku 4.5 | $0.00014 | $0.00342 |
Grade A, and why
prp-spike 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 5d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arguments:
$ARGUMENTS(and$1,$2, ...) refer to the arguments given when this skill was invoked. Take them from the user's request; if absent, infer them from the conversation.
PRP Spike — Prove or Disprove
Settle an open question by building the smallest thing that could prove it wrong. The deliverable is a verdict backed by evidence, not shippable code.
Input: $ARGUMENTS (if absent, take the question from the conversation).
When to use
- Feasibility — can this be built at all, here, with what we have?
- Fit — does this sit naturally in our stack, or fight it the whole way?
- Cost of admission — what would have to change (a primitive, an abstraction, a product constraint) to make it possible, and is that trade worth it?
- Choice — which of several approaches survives contact with the real constraints?
Not for work whose feasibility is already settled — that is prp-plan then prp-implement. Not for something already broken — that is prp-debug.
The contract
- A spike answers one falsifiable question — or several sub-claims that share a single falsifier. No falsifiable question, no spike.
- Kill criteria are written before the build. Deciding what counts as failure after seeing results turns a spike into a rationalization.
- DISPROVEN is a success. It bought a decision with evidence and closed a path that would otherwise have cost weeks.
- Spike code is throwaway by construction and never opens a PR.
Phase 1 — Frame
Convert the request into a claim that can fail, and fix the kill criteria before touching code.
Reconnaissance before framing is allowed, and usually required. A hypothesis that names a version, a field, a threshold, or a mechanism cannot be written cold — read the issue, the source, and the environment until the claim can be stated precisely. The line is the falsifier: never let findings produced by the thing built to test the claim reshape the claim. Recon sharpens the question; results must only answer it.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 166 lines · 141 tokens per session scan A 7bab7d9841a2
prp-spike is a skill published in the GitHub repository Wirasm/prp (2,241 stars, last pushed 3d ago), licensed MIT. It adds 141 tokens to every session and 3,419 once invoked, about $0.0007 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…