autoplan

autoplan is a skill for Claude Code, Codex from timurgaleev/vibestack. It costs 66 tokens per session (13,707 once invoked), scanned B, original, MIT.

An automated review workflow for turning a plan into a reviewed, approved version. It runs separate reviews for business goals, design, engineering, and developer experience.

In plain words
What is it for?
Use it to review a plan file, compare possible approaches, check project scope, and produce a final plan ready for approval.
Why use it?
It removes the need to answer many review questions one by one and helps catch disagreements or uncertain decisions before work begins.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also runs codex exec. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

Good fit Use it to review a plan file, compare possible approaches, check project scope, and produce a final plan ready for approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/timurgaleev/vibestack/autoplan
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 timurgaleev/vibestack --skill autoplan
Clone the repo
git clone --depth 1 https://github.com/timurgaleev/vibestack

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 autoplan

README.md
[![agentmods](https://agentmods.dev/badge/skills/timurgaleev/vibestack/autoplan.svg)](https://agentmods.dev/skills/timurgaleev/vibestack/autoplan)
Your own site
<a href="https://agentmods.dev/skills/timurgaleev/vibestack/autoplan"><img src="https://agentmods.dev/badge/skills/timurgaleev/vibestack/autoplan.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,707 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00066 $0.13707
Opus 5 $0.00033 $0.06853
Sonnet 5 $0.00013 $0.02741
Haiku 4.5 $0.00007 $0.01371

Measured 3d ago against content hash d7652d8fd096, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade B, and why

autoplan scanned grade B with 1 finding 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 3d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

# rejected — a stale `model =` pin in ~/.codex/config.toml answers every call
skills/autoplan/SKILL.md · 1,115 lines

How it starts

The opening of the file, as written. The whole thing — 1,115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to invoke

Use when asked to "auto review", "autoplan", "run all reviews", "review this plan automatically", or "make the decisions for me".

Proactively suggest when the user has a plan file and wants to run the full review gauntlet without answering 15-30 intermediate questions.

Voice triggers (speech-to-text aliases): "auto plan", "automatic review".

Preamble

eval "$(~/.vibestack/bin/vibe-slug 2>/dev/null)" 2>/dev/null || SLUG="unknown"
_LEARN_FILE="${VIBESTACK_HOME:-$HOME/.vibestack}/projects/${SLUG:-unknown}/learnings.jsonl"
if [ -f "$_LEARN_FILE" ]; then
  _LEARN_COUNT=$(wc -l < "$_LEARN_FILE" 2>/dev/null | tr -d ' ')
  echo "LEARNINGS: $_LEARN_COUNT entries loaded"
  if [ "$_LEARN_COUNT" -gt 5 ] 2>/dev/null; then
    ~/.vibestack/bin/vibe-learnings-search --limit 5 2>/dev/null || true
  fi
else
  echo "LEARNINGS: none yet"
fi

{{include lib/snippets/session-host.md}}

{{include lib/snippets/decision-brief.md}}

{{include lib/snippets/working-protocols.md}}

{{include lib/snippets/state-protocols.md}}

In plan mode, before ExitPlanMode: if the plan file lacks a ## VIBESTACK REVIEW REPORT section, check ~/.vibestack/bin/vibe-review-read --json 2>/dev/null and append a placeholder. With no review data, append a 5-row placeholder table (CEO/Codex/Eng/Design/DX Review) with all zeros and verdict "NO REVIEWS YET — run /autoplan". If a richer review report already exists, skip — review skills wrote it.

PLAN MODE EXCEPTION — always allowed (it's the plan file).


Step 0: Detect platform and base branch

First, detect the git hosting platform from the remote URL:

git remote get-url origin 2>/dev/null
  • If the URL contains "github.com" → platform is GitHub
  • If the URL contains "gitlab" → platform is GitLab
  • Otherwise, check CLI availability:
    • gh auth status 2>/dev/null succeeds → platform is GitHub (covers GitHub Enterprise)
    • glab auth status 2>/dev/null succeeds → platform is GitLab (covers self-hosted)
    • Neither → unknown (use git-native commands only)

Read the full file on GitHub · 1,115 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. 3d ago Changed · +69 lines scan A → B d7652d8fd096
  2. 7d ago First seen · 1,046 lines · 66 tokens per session scan A 31d58129f321

Subscribe to this mod's changes

autoplan is a skill published in the GitHub repository timurgaleev/vibestack (6 stars, last pushed 4d ago), licensed MIT. It adds 66 tokens to every session and 13,707 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.