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/allisoneer/agentic_auxilaryWrote 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/allisoneer/agentic_auxilary/describe_pr)<a href="https://agentmods.dev/commands/allisoneer/agentic_auxilary/describe_pr"><img src="https://agentmods.dev/badge/commands/allisoneer/agentic_auxilary/describe_pr/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/allisoneer/agentic_auxilary/describe_pr"><img src="https://agentmods.dev/badge/commands/allisoneer/agentic_auxilary/describe_pr.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 | $0.00022 | $0.00997 |
| Opus 5.5 | $0.00009 | $0.00399 |
| Sonnet 5.5 | $0.00004 | $0.00199 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade A, and why
describe_pr 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate PR Description
You are tasked with generating a comprehensive pull request description following the repository's standard template.
User message (if any): $ARGUMENTS
Steps to follow:
-
Get the PR description template:
- Call
tools_thoughts_get_templatewithtemplate=pr_description - Read the template carefully to understand all sections and requirements
- Call
-
Identify the PR to describe:
- Check if the current branch has an associated PR:
gh pr view --json url,number,title,state 2>/dev/null - If no PR exists for the current branch, or if on main/master, list open PRs:
gh pr list --limit 10 --json number,title,headRefName,author - Ask the user which PR they want to describe
- Check if the current branch has an associated PR:
-
Check for existing description (MCP):
- Call
tools_thoughts_list_documentsand filterdoc_type = "artifacts"with filenamepr_{number}_description.md - If found, read it and inform user you'll be updating it
- Consider what has changed since last description
- Call
-
Gather comprehensive PR information:
- Get the full PR diff:
gh pr diff {number} - If you see the error "No default remote repository has been set", instruct the user to run
gh repo set-defaultand select the appropriate repository - Get commit history:
gh pr view {number} --json commits - Review the base branch:
gh pr view {number} --json baseRefName - Get PR metadata:
gh pr view {number} --json url,title,number,state
- Get the full PR diff:
-
Analyze the changes thoroughly: (think deeply about the code changes, their architectural implications, and potential impacts)
- Read through the entire diff carefully
- For context, read any files that are referenced but not shown in the diff
- Understand the purpose and impact of each change
- Identify user-facing changes vs internal implementation details
- Look for breaking changes or migration requirements
-
Handle verification requirements:
- Look for any checklist items in the "How to verify it" section of the template
- For each verification step:
- If it's a recipe you can run, use the Just MCP tools:
- Discover available recipes with
tools_cli_just_search(e.g., search for "check", "test") - Execute recipes with
tools_cli_just_execute(e.g., run the "check" and "test" recipes)
- Discover available recipes with
- If it passes, mark the checkbox as checked:
- [x] - If it fails, keep it unchecked and note what failed:
- [ ]with explanation - If it requires manual testing (UI interactions, external services), leave unchecked and note for user
- If it's a recipe you can run, use the Just MCP tools:
- Document any verification steps you couldn't complete
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 · 84 lines · 22 tokens per session scan A 8f80b256f1d5
describe_pr is a command published in the GitHub repository allisoneer/agentic_auxilary (79 stars, last pushed 6d ago), licensed MIT. It adds 22 tokens to every session and 997 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-08.
Other commands, from other repositories
speckit.spex.submit
Push and create PR for team review, with optional watch mode for CI monitoring.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
git
The pre-finish status: branch, hygiene findings, message checks, workflow lint, template state.
factory
Linha de montagem multi-agente (Software Factory) — spec-writer → builder em worktree isolado → 4 revisores paralelos (Security, Code, UI, UX) → approver com gate de risco e dashboard visual.
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.
release-tag
Create and push a version tag after a release PR has been merged.