auto-work-issue

auto-work-issue is a command for coding agents from shwilliamson/automatasaurus. It costs 0 tokens per session (400 once invoked), scanned A, original, MIT.

A command for working through one numbered GitHub issue, where GitHub issues track requested changes, bugs, or tasks. It follows a defined process from checking the issue and its dependencies to preparing a pull request.

In plain words
What is it for?
Use it to implement a specific GitHub issue, check related work, coordinate developer and review steps, and prepare a pull request.
Why use it?
It organizes the work needed for one issue and makes sure relevant reviews and design checks happen before the change is handed back. The pull request is left for the user to review and merge.

Command

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 commands/shwilliamson/automatasaurus/auto-work-issue
Clone the repo
git clone --depth 1 https://github.com/shwilliamson/automatasaurus

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 auto-work-issue

README.md
[![agentmods](https://agentmods.dev/badge/commands/shwilliamson/automatasaurus/auto-work-issue.svg)](https://agentmods.dev/commands/shwilliamson/automatasaurus/auto-work-issue)
Your own site
<a href="https://agentmods.dev/commands/shwilliamson/automatasaurus/auto-work-issue"><img src="https://agentmods.dev/badge/commands/shwilliamson/automatasaurus/auto-work-issue.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 400 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00400
Opus 5 $0.00000 $0.00200
Sonnet 5 $0.00000 $0.00080
Haiku 4.5 $0.00000 $0.00040

Measured 4d ago against content hash 54de5daf63de, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

auto-work-issue 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.

template/commands/auto-work-issue.md · 76 lines

What it actually says

Work - Process a Specific Issue

Work on a specific GitHub issue by number.

Workflow Mode

WORKFLOW_MODE: single-issue
AUTO_MERGE: false

IMPORTANT: In single-issue mode, do NOT auto-merge. Notify the user when the PR is ready for their review and merge.


Instructions

Load and follow the work-issue skill with ISSUE_NUMBER = $ARGUMENTS.

1. Load the Skill

Load the work-issue skill which contains the full implementation workflow.

If agent teams are enabled (CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in settings), also load the team-coordination skill for team patterns.

2. Execute the Workflow

Follow the work-issue skill steps:

  1. Get issue details for issue #$ARGUMENTS
  2. Check dependencies
  3. Get design specs if UI work
  4. Implement via developer agent
  5. Coordinate reviews (Architect, Designer if UI, Tester)
  6. Handle any change requests

3. Report Result (Do NOT Merge)

When the skill workflow completes with SUCCESS:

gh pr comment {pr_number} --body "**[Product Owner]**

All required reviews complete:
- ✅ Architect
- ✅ Tester
[- ✅ Designer (if applicable)]

PR is ready for merge. Awaiting user action."

Report to user:

PR #{pr_number} is ready for your review and merge.

All approvals received:
- ✅ Architect
- ✅ Tester

Link: {pr_url}

When you're ready, merge the PR to complete issue #$ARGUMENTS.

STOP HERE - Do NOT merge in single-issue mode. The user will merge manually.


Issue Number

$ARGUMENTS


Begin by loading the work-issue skill, then start with Step 1: Get Issue Details.

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 · 76 lines · 0 tokens per session scan A 54de5daf63de

Subscribe to this mod's changes

auto-work-issue is a command published in the GitHub repository shwilliamson/automatasaurus (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 400 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.