llmlb: Skill for Codex

.codex/skills/.system/plan/SKILL.md

plan is a skill for Codex from akiojin/llmlb. It costs 58 tokens per session (1,473 once invoked), scanned A, original, MIT.

A planning guide for complex coding tasks. It creates structured plans covering the goal, scope, steps, checks, and risks, and can save those plans as files.

In plain words
What is it for?
Draft plans in chat, or create, find, read, update, and delete plan files in Codex's plans directory.
Why use it?
It helps clarify work before code changes begin and keeps planning separate from the repository code. It also provides rules for finding and managing saved plans.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: reads ~/.codex paths; mentions Codex.

This is akiojin/llmlb's own configuration. It tells Codex how to work on llmlb 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 llmlb configures →

Reuse

Borrowing it

Nothing to install: this file belongs to akiojin/llmlb. 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/akiojin/llmlb/develop/.codex/skills/.system/plan/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/akiojin/llmlb

Made for: 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 plan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/akiojin/llmlb/plan"><img src="https://agentmods.dev/badge/skills/akiojin/llmlb/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,473 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 $0.00058 $0.01473
Opus 5.5 $0.00023 $0.00589
Sonnet 5.5 $0.00012 $0.00295
Haiku 4.5 $0.00006 $0.00147

Measured 8d ago against content hash 7144a4dfbe56, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 8d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/create_plan.py, scripts/list_plans.py, scripts/plan_utils.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/.system/plan/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan

Overview

Draft structured plans that clarify intent, scope, requirements, action items, testing/validation, and risks.

Optionally, save plans to disk as markdown files with YAML frontmatter and free-form content. When drafting in chat, output only the plan body without frontmatter; add frontmatter only when saving to disk. Only write to the plans folder; do not modify the repository codebase.

This skill can also be used to draft codebase or system overviews.

Core rules

  • Resolve the plans directory as $CODEX_HOME/plans or ~/.codex/plans when CODEX_HOME is not set.
  • Create the plans directory if it does not exist.
  • Never write to the repo; only read files to understand context.
  • Require frontmatter with only name and description (single-line values) for on-disk plans.
  • When presenting a draft plan in chat, omit frontmatter and start at # Plan.
  • Enforce naming rules: short, lower-case, hyphen-delimited; filename must equal <name>.md.
  • If a plan is not found, state it clearly and offer to create one.
  • Allow overview-style plans that document flows, architecture, or context without a work checklist.

Decide the task

  1. Find/list: discover plans by frontmatter summary; confirm if multiple matches exist.
  2. Read/use: validate frontmatter; present summary and full contents.
  3. Create: inspect repo read-only; choose plan style (implementation vs overview); draft plan; write to plans directory only.
  4. Update: load plan; revise content and/or description; preserve frontmatter keys; overwrite the plan file.
  5. Delete: confirm intent, then remove the plan file if asked.

Plan discovery

  • Prefer scripts/list_plans.py for quick summaries.
  • Use scripts/read_plan_frontmatter.py to validate a specific plan.
  • If name mismatches filename or frontmatter is missing fields, call it out and ask whether to fix.

Plan creation workflow

  1. Scan context quickly: read README.md and obvious docs (docs/, CONTRIBUTING.md, ARCHITECTURE.md); skim likely touched files; identify constraints (language, frameworks, CI/test commands, deployment).
  2. Ask follow-ups only if blocked: at most 1-2 questions, prefer multiple-choice. If unsure but not blocked, state assumptions and proceed.
  3. Identify scope, constraints, and data model/API implications (or capture existing behavior for an overview).
  4. Draft either an ordered implementation plan or a structured overview plan with diagrams/notes as needed.
  5. Immediately output the plan body only (no frontmatter), then ask the user if they want to 1. Make changes, 2. Implement it, 3. Save it as per plan.
  6. If the user wants to save it, prepend frontmatter and save the plan under the computed plans directory using scripts/create_plan.py.

Read the full file on GitHub · 181 lines

Files

What ships with it

5 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. 8d ago First seen · 181 lines · 58 tokens per session scan A 7144a4dfbe56

Subscribe to this mod's changes

plan is a skill published in the GitHub repository akiojin/llmlb (10 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 1,473 once invoked, about $0.0002 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 2026-10-21.

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