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 commands/mturac/everything-openai-codex/prp-plangit clone --depth 1 https://github.com/mturac/everything-openai-codexWrote 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/commands/mturac/everything-openai-codex/prp-plan)<a href="https://agentmods.dev/commands/mturac/everything-openai-codex/prp-plan"><img src="https://agentmods.dev/badge/commands/mturac/everything-openai-codex/prp-plan.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 | $0.00012 | $0.03328 |
| Opus 5 | $0.00006 | $0.01664 |
| Sonnet 5 | $0.00002 | $0.00666 |
| Haiku 4.5 | $0.00001 | $0.00333 |
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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prp-plan — 98% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adapted from PRPs-agentic-eng by Wirasm. Part of the PRP workflow series.
PRP Plan
Create a detailed, self-contained implementation plan that captures all codebase patterns, conventions, and context needed to implement a feature in a single pass.
Core Philosophy: A great plan contains everything needed to implement without asking further questions. Every pattern, every convention, every gotcha — captured once, referenced throughout.
Golden Rule: If you would need to search the codebase during implementation, capture that knowledge NOW in the plan.
Phase 0 — DETECT
Determine input type from $ARGUMENTS:
| Input Pattern | Detection | Action |
|---|---|---|
Path ending in .prd.md |
File path to PRD | Parse PRD, find next pending phase |
Path to .md with "Implementation Phases" |
PRD-like document | Parse phases, find next pending |
| Path to any other file | Reference file | Read file for context, treat as free-form |
| Free-form text | Feature description | Proceed directly to Phase 1 |
| Empty / blank | No input | Ask user what feature to plan |
PRD Parsing (when input is a PRD)
- Read the PRD file with
cat "$PRD_PATH" - Parse the Implementation Phases section
- Find phases by status:
- Look for
pendingphases - Check dependency chains (a phase may depend on prior phases being
complete) - Select the next eligible pending phase
- Look for
- Extract from the selected phase:
- Phase name and description
- Acceptance criteria
- Dependencies on prior phases
- Any scope notes or constraints
- Use the phase description as the feature to plan
If no pending phases remain, report that all phases are complete.
Phase 1 — PARSE
Extract and clarify the feature requirements.
Feature Understanding
From the input (PRD phase or free-form description), identify:
- What is being built (concrete deliverable)
- Why it matters (user value)
- Who uses it (target user/system)
- Where it fits (which part of the codebase)
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.
- yesterday First seen · 503 lines · 12 tokens per session scan A 9e7e4153a4e9
prp-plan is a command published in the GitHub repository mturac/everything-openai-codex (89 stars, last pushed 11d ago), licensed MIT. It adds 12 tokens to every session and 3,328 once invoked, about $0.0001 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 2026-09-03.
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research
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dev-planner
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verify
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