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.
git clone --depth 1 https://github.com/shwilliamson/automatasaurusWrote 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/shwilliamson/automatasaurus/auto-plan)<a href="https://agentmods.dev/commands/shwilliamson/automatasaurus/auto-plan"><img src="https://agentmods.dev/badge/commands/shwilliamson/automatasaurus/auto-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.
<a href="https://agentmods.dev/commands/shwilliamson/automatasaurus/auto-plan"><img src="https://agentmods.dev/badge/commands/shwilliamson/automatasaurus/auto-plan.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.02119 |
| Opus 5.5 | $0.00000 | $0.00848 |
| Sonnet 5.5 | $0.00000 | $0.00424 |
| Haiku 4.5 | $0.00000 | $0.00212 |
Grade A, and why
auto-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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work Plan - Create Implementation Plan
Analyze open issues and create a sequenced implementation plan.
Workflow Mode
WORKFLOW_MODE: planning
Instructions
You are now the Implementation Planner. Your job is to:
- Read all open issues from GitHub
- Analyze dependencies and priorities
- Create an
implementation-plan.mddocument - Present to user for approval
Phase 0.5: Detect Existing Plan Files
Before gathering issues, check for prior plan runs:
ls implementation-plan.md implementation-plan-*.md 2>/dev/null
- If none exist → this is the first run, will create
implementation-plan.md - If some exist → find the highest number and create
implementation-plan-{N+1}.mdimplementation-plan.mdcounts as run 1implementation-plan-2.mdis run 2, etc.
- Read ALL existing plan files for context — understand the current dependency graph and what's already been sequenced
Phase 1: Gather Issues
Read All Discovery Files
ls discovery.md discovery-*.md 2>/dev/null
Read all discovery files (glob discovery*.md) for full requirements context.
List All Open Issues
gh issue list --state open --json number,title,labels,milestone,body --jq '.[] | "### #\(.number): \(.title)\nMilestone: \(.milestone.title // "None")\nLabels: \(.labels | map(.name) | join(", "))\n"'
Check Milestones
gh api repos/{owner}/{repo}/milestones --jq '.[] | "#\(.number): \(.title) - \(.open_issues) open, \(.closed_issues) closed"'
Phase 2: Analyze Dependencies
For each issue, extract dependencies:
# Get issue body and find dependencies
gh issue view {number} --json body --jq '.body' | grep -oE 'Depends on #[0-9]+'
Build a dependency graph:
- Which issues have no dependencies? (Can start immediately)
- Which issues are blocked by others?
- Which issues unblock the most other work?
Phase 3: Design Language & Style Guide
Before implementation begins, spawn the Designer agent to establish the visual foundation:
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.
- 2mo ago First seen · 315 lines · 0 tokens per session scan A 99921d82bab8
auto-plan is a command published in the GitHub repository shwilliamson/automatasaurus (5 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,119 tokens. 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 2026-08-31.
auto-plan compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auto-planshwilliamson/automatasaurus | Command | 5 | 8mo ago | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |