ralplan

ralplan is a skill for Claude Code, Codex from Tenon-Net/TenonAdmin. It costs 24 tokens per session (3,349 once invoked), scanned A, original, Apache-2.0.

Ralplan is the canonical consensus-planning stage used by Autopilot between $deep-interview and $ultragoal. It drives Planner, Architect, and Critic planning and records their review lifecycle with RALPLAN-DR structured deliberation (short mode by default, deliberate mode for high-risk work). Local lifecycle evidence…

Skill for Claude CodeCodex

Written for Claude Code and Codex: PreToolUse hook event, but also installed under .codex/. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Install with agentmods
npx agentmods add skills/tenon-net/tenonadmin/ralplan
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.

Any agent
npx skills add Tenon-Net/TenonAdmin --skill ralplan
Clone the repo
git clone --depth 1 https://github.com/Tenon-Net/TenonAdmin

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 ralplan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tenon-net/tenonadmin/ralplan"><img src="https://agentmods.dev/badge/skills/tenon-net/tenonadmin/ralplan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,349 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.
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 $0.00024 $0.03349
Opus 5.5 $0.00010 $0.01340
Sonnet 5.5 $0.00005 $0.00670
Haiku 4.5 $0.00002 $0.00335

Measured today against content hash 6a7a6a752f1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ralplan 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 today.

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.

.codex/skills/ralplan/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralplan (Consensus Planning Alias)

Ralplan is the canonical consensus-planning stage used by Autopilot between $deep-interview and $ultragoal. It drives Planner, Architect, and Critic planning and records their review lifecycle with RALPLAN-DR structured deliberation (short mode by default, deliberate mode for high-risk work). Local lifecycle evidence is not host-issued security authority, but ordinary progression to Ultragoal must remain reachable after the execution-ready plan and sequential review evidence are durable; missing host provenance must not terminalize Ralplan or block cancel, clear, or recovery.

Usage

$ralplan "task description"

Standalone advisory planning is explicitly opt-in:

$ralplan --advisory "task description"

Advisory runs the same sequential Planner → Architect → Critic review lifecycle, binds the plan and both review artifacts to exact bytes and one tracker-backed iteration, then returns to the caller with active:false. It is a cooperative workflow pause, not a security fence or permission system. It never emits a PreToolUse allow/block decision, never completes the host consensus gate, never authorizes execution, and never suppresses unrelated host behavior. Terminal state must carry explicit false values for the consensus gate, host verification, and execution handoff rather than omitting them. A later concrete affirmative execution request may produce non-authoritative routing context, but it does not persist a permission, rewrite terminal evidence, or create an automatic handoff; quotations, code, examples, documentation, questions, modal requests, negations, and vague approval remain classifier negatives. approved+proven requires complete lifecycle digests plus post-write revalidation. Administrative abandonment is append-only, idempotent for prepared or committed journals, and records a separate byte-bound admin event without rewriting the original closeout journal. Real enforcement requires an explicit host-issued, host-verified receipt or capability on a non-user-mintable surface; local Advisory files, prompts, session/thread fields, tracker records, and HERDR observability cannot substitute for it. On Darwin, each Advisory evidence artifact is limited to 128 KiB by the pinned-directory reader; other supported platforms allow up to 8 MiB.

Read the full file on GitHub · 135 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. today First seen · 135 lines · 24 tokens per session scan A 6a7a6a752f1d

Subscribe to this mod's changes

ralplan is a skill published in the GitHub repository Tenon-Net/TenonAdmin (41 stars, last pushed 14d ago), licensed Apache-2.0. It adds 24 tokens to every session and 3,349 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 2026-11-07.

Related

ralplan compared with skills from other repositories

ralplan next to 6 skills from other repositories
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ralplanTenon-Net/TenonAdminSkill4114d agoApache-2.0A24Claude Code, Codex
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code-review-csharppnp/copilot-promptsSkill9023d agoMITA66Claude Code, Codex
godot-code-reviewjame581/GodotPrompterSkill9295d agoMITA67Claude Code
de-sloppifycodewithmukesh/dotnet-claude-kitSkill8052d agoMITA115Claude Code
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antdant-design/ant-design-cliSkill2612d agoMITA69Claude Code