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/quay/ai-helpersWrote 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/quay/ai-helpers/create-plan-from-issue)<a href="https://agentmods.dev/commands/quay/ai-helpers/create-plan-from-issue"><img src="https://agentmods.dev/badge/commands/quay/ai-helpers/create-plan-from-issue.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.03325 |
| Opus 5 | $0.00006 | $0.01663 |
| Sonnet 5 | $0.00003 | $0.00665 |
| Haiku 4.5 | $0.00001 | $0.00332 |
Grade A, and why
create-plan-from-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 2d 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 — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Plan from Issue
Systematically analyze a JIRA issue and create an actionable implementation plan. This command uses a modular phase-based approach that branches based on issue type (UI vs Backend).
Issue Key
The JIRA issue to plan: $ARGUMENTS
Phase 1: Discovery (All Issues)
Step 1: Fetch Issue Details
Retrieve the full issue information from JIRA:
acli jira workitem view $ARGUMENTS
Extract key information:
- Issue type (Bug, Story, Task, etc.)
- Summary and description
- Component (ui, api, data, etc.)
- Priority
- Labels
- Comments with additional context
Step 2: Download Attachments
Download any attachments from the issue:
.claude/scripts/download-jira-attachments.sh $ARGUMENTS
This script will:
- Check if the issue has attachments
- Download them to
.claude/attachments/$ARGUMENTS/ - Display file types to help identify their purpose
Common attachment types:
- Screenshots/Images: Visual bugs or mockups
- Architecture diagrams: Design documentation
- Log files: Error traces or debugging information
- Test files: Reproduction cases or examples
Step 3: Classify the Issue
Analyze the issue to determine if it's UI or Backend, considering both description and attachments:
UI Issue Indicators:
- Component:
uiorweb - Keywords: rendering, display, UI, interface, button, form, modal, table, layout, styling, visual, PatternFly, React, Angular
- Issue describes visual or interaction problems
- Has screenshot/mockup attachments
Backend Issue Indicators:
- Component:
api,data,auth,endpoints,workers,buildman,storage - Keywords: API, endpoint, database, authentication, background job, storage, worker, migration, ORM, SQL
- Has log files or stack traces attached
- Describes data processing, API behavior, or system operations
Decision Point: Based on classification, proceed to either Phase 2-UI or Phase 2-Backend.
Phase 2: Type-Specific Preparation
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.
- 2d ago First seen · 441 lines · 13 tokens per session scan A b8fedaaf72bf
create-plan-from-issue is a command published in the GitHub repository quay/ai-helpers (3 stars, last pushed 19d ago), licensed MIT. It adds 13 tokens to every session and 3,325 once invoked, about $0.0001 per session on Opus 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 2026-09-04.
Other commands, from other repositories
template
Manage issue templates for streamlined issue creation.
sync-linear
Sync current work with Linear ticket status.
add-note
Add an internal or external note to a ConnectWise PSA ticket.
fest-show
Show festival progression (in-progress tasks, roadmap, and dependency view).
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
workpm
A project-management workflow for coordinating multiple AI workers through five stages. It includes task assignment, shared activity logs, worker replacement, and final checks.