prp: Skill for Claude Code

.agents/skills/prp-deliver/SKILL.md

prp-deliver is a skill for Claude Code from Wirasm/prp. It costs 28 tokens per session (1,428 once invoked), scanned A, original, MIT.

An experimental workflow for taking a software task from its source material through implementation, review, corrections, and a pull request ready for merging.

In plain words
What is it for?
Use it when you need to coordinate specialists to plan a change, implement it, review it, fix review findings, and publish the result with passing CI.
Why use it?
It keeps planning, coding, independent review, and CI checks connected so unfinished or weakly reviewed changes are less likely to be delivered.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: positional $N argument; installed under .agents/ (shared by several agents); $skill-name invocation.

This is Wirasm/prp's own configuration. It tells Claude Code how to work on prp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything prp configures →

View source ↗ Wirasm/prp
About the project

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.

Wirasm/prp · 2,266 stars · on GitHub

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/Wirasm/prp/development/.agents/skills/prp-deliver/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Wirasm/prp

Made for: Claude Code.

Wrote 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.

agentmods badge for prp-deliver

README.md
[![agentmods](https://agentmods.dev/badge/skills/wirasm/prp/prp-deliver/github.svg)](https://agentmods.dev/skills/wirasm/prp/prp-deliver)
Your own site
<a href="https://agentmods.dev/skills/wirasm/prp/prp-deliver"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-deliver/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.

agentmods 80×15 button for prp-deliver

Your own site · 80×15
<a href="https://agentmods.dev/skills/wirasm/prp/prp-deliver"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-deliver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,428 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.01428
Opus 5.5 $0.00011 $0.00571
Sonnet 5.5 $0.00006 $0.00286
Haiku 4.5 $0.00003 $0.00143

Measured 2mo ago against content hash a84bdf926c84, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prp-deliver 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 2mo 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.

.agents/skills/prp-deliver/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 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.

Deliver to a Reviewed PR

Own one outcome from source input to a published READY TO MERGE review and green CI. Act as the sub-orchestrator for this delivery: start and steer specialist agents, preserve their handoff artifacts, and do not implement or review the work in this context.

Input: $ARGUMENTS (if absent, use the conversation).

Ownership contract

  • Continue autonomously through plan, implementation, PR, review, correction, re-review, and CI. A published report is observable progress, not a pause point.
  • Run stages sequentially in the delivery owner's checkout. Only one implementation or correction agent may mutate it at a time.
  • Use a fresh agent for planning, a fresh agent for implementation, and a fresh independent agent for every review. Resume the implementation agent for corrections while it remains available.
  • Keep the plan path, implementation report, PR, latest review report, publication URL, and agent handles. Durable artifacts—not recalled summaries—cross context windows.
  • Keep a verbatim caller-decisions record of two kinds: constraints that bind the whole delivery, such as scope, base, and product decisions; and dispositions attached to one finding or blocker. A constraint applies to every later stage. A disposition applies only to the finding it names, while that finding is live. Update the record when the caller resolves a blocker, and pass each fresh agent the constraints plus the dispositions its stage acts on, verbatim.
  • Carry the burden of proof. Prove completion with green validation, the live PR, the complete published review, its READY TO MERGE verdict, and green required CI.
  • Stop only when a product decision, missing prerequisite primitive, inaccessible dependency, permission boundary, or repeated no-progress failure cannot be resolved autonomously. Report the exact decision or access needed and a recommendation.
  • Do not merge the PR. The caller owns the merge gate.

Read the full file on GitHub · 72 lines

Changes

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.

  1. 2mo ago First seen · 72 lines · 28 tokens per session scan A a84bdf926c84

Subscribe to this mod's changes

prp-deliver is a skill published in the GitHub repository Wirasm/prp (2,266 stars, last pushed 27d ago), licensed MIT. It adds 28 tokens to every session and 1,428 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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