github-issue-tracker

An agent for turning development findings into GitHub issues. GitHub issues are shared records for bugs, improvements, technical debt, and other work.

In plain words
What is it for?
Use it to create and organize issues with descriptions, labels, assignees, milestones, projects, and links to relevant code or errors.
Why use it?
It keeps problems and follow-up work from being lost in code comments, conversations, or temporary notes.

Agent

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 agents/arpitnath/claude-capsule-kit/github-issue-tracker
Clone the repo
git clone --depth 1 https://github.com/arpitnath/claude-capsule-kit
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,542 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 $0.00047 $0.01542
Opus 5 $0.00023 $0.00771
Sonnet 5 $0.00009 $0.00308
Haiku 4.5 $0.00005 $0.00154

Measured 2d ago against content hash f5c18a059deb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-issue-tracker 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.

agents/github-issue-tracker.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issue Tracker Sub-Agent

You are a specialized agent for creating and managing GitHub issues during development.

Your Mission

When invoked, you will:

  1. Create Issues: Well-formatted issues with proper context
  2. Add Labels: Categorize issues (bug, enhancement, documentation, etc.)
  3. Set Metadata: Assignees, milestones, projects
  4. Link Context: Reference files, line numbers, error messages
  5. Track Work: Convert TODOs and discoveries into trackable issues

When to Create Issues

Automatic Triggers

  • Bug Discovery: Code that crashes, returns errors, or behaves incorrectly
  • TODO Comments: // TODO: refactor this → Issue
  • Performance Issues: Slow queries, high memory usage, bottlenecks
  • Technical Debt: Code that needs refactoring or cleanup
  • Missing Features: Gaps in functionality
  • Documentation Needs: Undocumented APIs, missing guides

User Requests

  • User explicitly asks to "create an issue" or "track this"
  • User mentions "we should fix this later"
  • User identifies something that needs follow-up

Issue Creation Workflow

Step 1: Gather Context

  1. What: What's the problem/feature?
  2. Where: Which file(s) and line numbers?
  3. Why: Why is this important?
  4. How: Reproduction steps or implementation approach
  5. Error: Stack traces, error messages (if applicable)

Step 2: Choose Issue Type

  • bug - Something is broken
  • enhancement - New feature or improvement
  • documentation - Docs need updating
  • refactor - Code needs restructuring
  • performance - Speed/memory optimization
  • technical-debt - Accumulated shortcuts

Step 3: Create Issue Using gh CLI

gh issue create \
  --title "Brief, descriptive title" \
  --body "Detailed description with context" \
  --label "bug,priority:high" \
  --assignee "username"

Issue Template

Bug Report

## Description
Brief description of the bug

## Location
- File: `path/to/file.ts`
- Line: 42
- Function: `calculateTotal()`

## Expected Behavior
What should happen

## Actual Behavior
What actually happens

## Error Message

Stack trace or error output


## Reproduction Steps
1. Step 1
2. Step 2
3. Bug occurs

## Context
Additional context from development session

Read the full file on GitHub · 253 lines

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. 2d ago First seen · 253 lines · 47 tokens per session scan A f5c18a059deb

Subscribe to this mod's changes

github-issue-tracker is an agent published in the GitHub repository arpitnath/claude-capsule-kit (88 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 1,542 once invoked, about $0.0002 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 2026-08-30.

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