prp-plan

prp-plan is a skill for Claude Code, Codex from Wirasm/prp. It costs 122 tokens per session (3,210 once invoked), scanned A, original, MIT.

A planning skill that turns a feature request, bug report, refactor, or maintenance task into an implementation-ready plan based on the codebase and source request.

In plain words
What is it for?
Use it to create evidence-based plans from PRDs, issues, documents, or descriptions, including root-cause analysis for bugs and optional architectural spikes.
Why use it?
It identifies the relevant existing code, the underlying problem, and the smallest supported design before implementation begins.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/wirasm/prp/prp-plan
Any agent
npx skills add Wirasm/prp --skill prp-plan
Clone the repo
git clone --depth 1 https://github.com/Wirasm/prp

Made for: Claude Code, Codex.

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-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/wirasm/prp/prp-plan.svg)](https://agentmods.dev/skills/wirasm/prp/prp-plan)
Your own site
<a href="https://agentmods.dev/skills/wirasm/prp/prp-plan"><img src="https://agentmods.dev/badge/skills/wirasm/prp/prp-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,210 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00122 $0.03210
Opus 5 $0.00061 $0.01605
Sonnet 5 $0.00024 $0.00642
Haiku 4.5 $0.00012 $0.00321

Measured 4d ago against content hash b0b90fef7718, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prp-plan 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 4d 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-plan/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 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 Plan

Produce a plan a human can scan and an implementation agent can execute without rediscovering the design. Identify the invariant, find the existing primitives, and choose the smallest solution supported by evidence.

Plan only. Do not implement, commit, or open a PR. A spike is allowed only to settle an architectural hinge; its code remains throwaway under the prp-spike contract.

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

Mode

  • A request to link two existing plans routes to workflows/update-references.md and stops.
  • publish <existing .plan.md> publishes or refreshes that plan on its recorded source issue, updates Plan Publication, verifies the shared comment, and stops. Do not redesign the plan unless the user asks to revise it.
  • A bug report, stack trace, regression, error, or unexplained current behavior adds root-cause analysis before solution design.
  • Everything else creates an implementation plan.

1. Resolve the request

Accept a PRD path, issue reference or URL, another document, free-form text, or conversation context.

For a PRD:

  1. Read it and select the first pending phase whose dependencies are complete.
  2. Preserve its problem, user, hypothesis, scope, and success signal.
  3. Note other independently actionable phases, but plan only the selected phase.
  4. Tell the user which phase was selected.

For an issue from GitHub, Jira, Linear, or another tracker:

  1. Retrieve the issue through whatever access is already configured in the environment. The skill does not prescribe or configure a tracker client.
  2. Treat the body as the starting point, not the complete brief. Read the relevant comment history—including earlier published PRP plans and corrections after them—and follow linked issues, parent/child or blocking relationships, duplicates, PRs, specifications, and attachments that can change scope, intent, constraints, or current decisions.
  3. Reconcile that context: distinguish current decisions from superseded discussion, note unresolved disagreements, and stop following links once additional material no longer affects the plan. Curate; do not dump the tracker graph.
  4. Preserve the source issue in the plan while separating its required outcome from any suggested implementation.
  5. If the issue, comments, or decision-relevant links cannot be retrieved, state what context is missing and ask the user to provide it or configure access. Never infer missing tracker content.

Read the full file on GitHub · 209 lines

Files

What ships with it

7 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.

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. 4d ago First seen · 209 lines · 122 tokens per session scan A b0b90fef7718

Subscribe to this mod's changes

prp-plan is a skill published in the GitHub repository Wirasm/prp (2,241 stars, last pushed 2d ago), licensed MIT. It adds 122 tokens to every session and 3,210 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

feishu

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

Hmbown/CodeWhale · 33 tokens

read

Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…

tw93/Waza · 78 tokens

docx-comment-reply

Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.

foryourhealth111-pixel/Vibe-Skills · 39 tokens