autoplan

autoplan is a skill for Claude Code, Codex from act-sdk/act-sdk-js. It costs 145 tokens per session (10,791 once invoked), scanned A, a copy of autoplan, MIT.

A manually triggered workflow that runs CEO, design, and engineering reviews in sequence for an automated project review.

In plain words
What is it for?
Use it after typing /autoplan to review a project through the listed review stages with automatic decisions based on six principles.
Why use it?
It brings several kinds of review together and surfaces judgment calls, disagreements, and questions about whether the planned work is complete.

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/act-sdk/act-sdk-js/gstack-autoplan
Any agent
npx skills add act-sdk/act-sdk-js --skill gstack-autoplan
Clone the repo
git clone --depth 1 https://github.com/act-sdk/act-sdk-js

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/act-sdk/act-sdk-js/gstack-autoplan.svg)](https://agentmods.dev/skills/act-sdk/act-sdk-js/gstack-autoplan)
Your own site
<a href="https://agentmods.dev/skills/act-sdk/act-sdk-js/gstack-autoplan"><img src="https://agentmods.dev/badge/skills/act-sdk/act-sdk-js/gstack-autoplan.svg" alt="Measured on agentmods" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,791 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod 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 $0.00145 $0.10791
Opus 5 $0.00072 $0.05396
Sonnet 5 $0.00029 $0.02158
Haiku 4.5 $0.00015 $0.01079

Measured 4d ago against content hash af78aff81f45, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

autoplan 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.

Origin

This is a copy

95% identical to autoplan — 71 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/gstack-autoplan/SKILL.md · 925 lines

How it starts

The opening of the file, as written. The whole thing — 925 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble (run first)

_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
GSTACK_ROOT="$HOME/.codex/skills/gstack"
[ -n "$_ROOT" ] && [ -d "$_ROOT/.agents/skills/gstack" ] && GSTACK_ROOT="$_ROOT/.agents/skills/gstack"
GSTACK_BIN="$GSTACK_ROOT/bin"
GSTACK_BROWSE="$GSTACK_ROOT/browse/dist"
_UPD=$($GSTACK_BIN/gstack-update-check 2>/dev/null || .agents/skills/gstack/bin/gstack-update-check 2>/dev/null || true)
[ -n "$_UPD" ] && echo "$_UPD" || true
mkdir -p ~/.gstack/sessions
touch ~/.gstack/sessions/"$PPID"
_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')
find ~/.gstack/sessions -mmin +120 -type f -delete 2>/dev/null || true
_CONTRIB=$($GSTACK_BIN/gstack-config get gstack_contributor 2>/dev/null || true)
_PROACTIVE=$($GSTACK_BIN/gstack-config get proactive 2>/dev/null || echo "true")
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
echo "BRANCH: $_BRANCH"
echo "PROACTIVE: $_PROACTIVE"
source <($GSTACK_BIN/gstack-repo-mode 2>/dev/null) || true
REPO_MODE=${REPO_MODE:-unknown}
echo "REPO_MODE: $REPO_MODE"
_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo "yes" || echo "no")
echo "LAKE_INTRO: $_LAKE_SEEN"
_TEL=$($GSTACK_BIN/gstack-config get telemetry 2>/dev/null || true)
_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo "yes" || echo "no")
_TEL_START=$(date +%s)
_SESSION_ID="$$-$(date +%s)"
echo "TELEMETRY: ${_TEL:-off}"
echo "TEL_PROMPTED: $_TEL_PROMPTED"
mkdir -p ~/.gstack/analytics
echo '{"skill":"autoplan","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","repo":"'$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || echo "unknown")'"}'  >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true
# zsh-compatible: use find instead of glob to avoid NOMATCH error
for _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do [ -f "$_PF" ] && $GSTACK_BIN/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id "$_SESSION_ID" 2>/dev/null || true; break; done

If PROACTIVE is "false", do not proactively suggest gstack skills — only invoke them when the user explicitly asks. The user opted out of proactive suggestions.

If output shows UPGRADE_AVAILABLE <old> <new>: read $GSTACK_ROOT/gstack-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running gstack v{to} (just updated!)" and continue.

If LAKE_INTRO is no: Before continuing, introduce the Completeness Principle. Tell the user: "gstack follows the Boil the Lake principle — always do the complete thing when AI makes the marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean" Then offer to open the essay in their default browser:

open https://garryslist.org/posts/boil-the-ocean
touch ~/.gstack/.completeness-intro-seen

Only run open if the user says yes. Always run touch to mark as seen. This only happens once.

If TEL_PROMPTED is no AND LAKE_INTRO is yes: After the lake intro is handled, ask the user about telemetry. Use AskUserQuestion:

Help gstack get better! Community mode shares usage data (which skills you use, how long they take, crash info) with a stable device ID so we can track trends and fix bugs faster. No code, file paths, or repo names are ever sent. Change anytime with gstack-config set telemetry off.

Options:

  • A) Help gstack get better! (recommended)
  • B) No thanks

If A: run $GSTACK_BIN/gstack-config set telemetry community

If B: ask a follow-up AskUserQuestion:

How about anonymous mode? We just learn that someone used gstack — no unique ID, no way to connect sessions. Just a counter that helps us know if anyone's out there.

Options:

  • A) Sure, anonymous is fine
  • B) No thanks, fully off

Read the full file on GitHub · 925 lines

Files

What ships with it

1 file 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 · 925 lines · 145 tokens per session scan A af78aff81f45

Subscribe to this mod's changes

autoplan is a skill published in the GitHub repository act-sdk/act-sdk-js (2 stars, last pushed 3mo ago), licensed MIT. It adds 145 tokens to every session and 10,791 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to autoplan, differing in 71 lines, and is treated as a copy.

Related

Other skills, from other repositories

ava-mcp-usage

Guide for using Ava's MCP tools effectively for task management and progress reporting. Use when working with Ava MCP server to report progress on coding tasks, including starting tasks, updating progress, reporting blockers, and completing tasks. Helps users understand best practices for privacy-conscious task…

yutakobayashidev/ava · 63 tokens

run-agent

Launch and supervise Claude Code or Codex through the CCAM Run API. Use when the user wants to start a monitored agent, select a model, approval policy, sandbox, or working directory, send a follow-up, inspect live output, resume a native session, or stop a dashboard-launched run.

hoangsonww/Claude-Code-Agent-Monitor · 64 tokens

gsd

Get Shit Done (GSD) - A comprehensive project management system for solo developers using Claude agents.

allgpt-co/QuickVoice · 23 tokens

Technical Debt Tracking with PMAT

Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: User asks about technical debt, TODO comments, or code quality issues Planning sprint work and need to prioritize debt repayment Conducting code audits or technical debt assessments Tracking debt accumulation…

paiml/paiml-mcp-agent-toolkit · 123 tokens

thesis-tracker

投资论点跟踪板。用户说「论点跟踪」「thesis tracker」「跟踪板」「论点看板」「/thesis-tracker」时使用。workspace 为 SSOT;vs watchlist-digest:本技能跟论点状态而非关注池行情摘要。默认 createweb。.

Travisun/Opptrix · 70 tokens

scheduled-jobs

定时任务管理工作流(listscheduledjobs / createscheduledjob / enablescheduledjob)。用户说「定时任务」「预约任务」「自动化任务」「建个定时」「listscheduledjobs」「/scheduled-jobs」时使用。列出、创建或启用定时任务,须用户确认后再写入;不强迫 createweb。.

Travisun/Opptrix · 83 tokens