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.
Borrowing it
Nothing to install: this file belongs to Wirasm/prp. 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/Wirasm/prp/development/.agents/skills/prp-spike/SKILL.mdgit 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/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/wirasm/prp/prp-spike"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-spike.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 | $0.00141 | $0.03483 |
| Opus 5.5 | $0.00056 | $0.01393 |
| Sonnet 5.5 | $0.00028 | $0.00697 |
| Haiku 4.5 | $0.00014 | $0.00348 |
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 23d 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.
- 23d ago Changed a7f8ad4dc21c
- 1mo ago First seen · 166 lines · 141 tokens per session scan A 7bab7d9841a2
prp-spike is a skill published in the GitHub repository Wirasm/prp (2,264 stars, last pushed 18d ago), licensed MIT. It adds 141 tokens to every session and 3,483 once invoked, about $0.0006 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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