Borrowing it
Nothing to install: this file belongs to jayminwest/mulch. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jayminwest/mulch/main/.claude/commands/prioritize.mdgit clone --depth 1 https://github.com/jayminwest/mulchWrote 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/jayminwest/mulch/prioritize)<a href="https://agentmods.dev/commands/jayminwest/mulch/prioritize"><img src="https://agentmods.dev/badge/commands/jayminwest/mulch/prioritize/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/jayminwest/mulch/prioritize"><img src="https://agentmods.dev/badge/commands/jayminwest/mulch/prioritize.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 | $0.00002 | $0.01117 |
| Opus 5.5 | $0.00001 | $0.00447 |
| Sonnet 5.5 | $0.00000 | $0.00223 |
| Haiku 4.5 | $0.00000 | $0.00112 |
Grade A, and why
prioritize 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 1mo 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- prioritize — 92% identical, 8 lines differ
- prioritize — 89% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
description
Analyze all open issues across GitHub Issues and Seeds, cross-reference with codebase health, and recommend the top ~5 issues to tackle next.
Argument: $ARGUMENTS — optional: a label or area to focus on (e.g., commands, schemas, scoring). If empty, analyze everything.
gather-issues
Use the Task tool to spawn three parallel agents:
Agent A: GitHub Issues
- Run
gh issue list --state open --limit 50 --json number,title,author,labels,createdAt,updatedAt,body - For each issue, capture: number, title, labels, author, creation date, body summary
- Note any issues with community engagement (comments, thumbs-up, external authors)
Agent B: Seeds Issues
- Run
sd listandsd ready - For each open issue, run
sd show <id>to get full details - Capture: id, title, type, priority, status, description, dependencies/blockers
- Build a dependency graph: which issues block which
Agent C: Codebase Health
- Run
bun testand capture pass/fail counts - Run
bun run lintand capture error counts - Run
bun run typecheckand capture error counts - Search for
TODO,FIXME,HACKcomments and count them - Check which source files lack test coverage (compare
src/**/*.tsvstest/**/*.test.ts) - Summarize: is the codebase healthy, or are there quality issues that need attention
cross-reference
After all three agents complete:
- Deduplicate: Match GitHub issues to Seeds issues that describe the same work (same title, overlapping description, related files)
- Dependency mapping: Identify chains — issues that must be done before others can start
- Cluster detection: Group related issues that could be tackled together (same subsystem, same theme, same files)
- Staleness check: Flag issues that have been open a long time with no activity
scoring
For every unique issue (deduplicated), assess:
a. Impact
- Does it fix a bug that blocks users?
- Does it enable new capabilities or unblock other work?
- How many other issues does it unblock (dependency graph)?
- Does it affect external users (GitHub issues from community)?
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.
- 1mo ago First seen · 115 lines · 2 tokens per session scan A 9ffc4d18bd9d
prioritize is a command published in the GitHub repository jayminwest/mulch (337 stars, last pushed 25d ago), licensed MIT. It adds 2 tokens to every session and 1,117 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-30.
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