custom_github_copilot_agent_builder: Agent for Claude Code

.github/agents/tech-debt-remediation-plan.agent.md

tech-debt-remediation-plan is an agent for Claude Code from dhar174/custom_github_copilot_agent_builder. It costs 13 tokens per session (453 once invoked), scanned A, original, MIT.

An analysis guide for creating plans to reduce technical debt, meaning code or documentation problems that make future work harder. It produces a concise Markdown plan without changing the code.

In plain words
What is it for?
Use it to plan fixes for missing tests, outdated documentation, tangled code, old dependencies, poor modularity, and TODO or FIXME items.
Why use it?
It turns scattered maintenance problems into ordered, actionable work. It also separates how difficult a fix is from its impact and the risk of leaving it unresolved.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

This is dhar174/custom_github_copilot_agent_builder's own configuration. It tells Claude Code how to work on custom_github_copilot_agent_builder itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything custom_github_copilot_agent_builder configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dhar174/custom_github_copilot_agent_builder. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dhar174/custom_github_copilot_agent_builder/main/.github/agents/tech-debt-remediation-plan.agent.md
Clone the repo
git clone --depth 1 https://github.com/dhar174/custom_github_copilot_agent_builder

Made for: Claude Code.

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 tech-debt-remediation-plan

README.md
[![agentmods](https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/tech-debt-remediation-plan/github.svg)](https://agentmods.dev/agents/dhar174/custom_github_copilot_agent_builder/tech-debt-remediation-plan)
Your own site
<a href="https://agentmods.dev/agents/dhar174/custom_github_copilot_agent_builder/tech-debt-remediation-plan"><img src="https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/tech-debt-remediation-plan/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.

agentmods 80×15 button for tech-debt-remediation-plan

Your own site · 80×15
<a href="https://agentmods.dev/agents/dhar174/custom_github_copilot_agent_builder/tech-debt-remediation-plan"><img src="https://agentmods.dev/badge/agents/dhar174/custom_github_copilot_agent_builder/tech-debt-remediation-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 453 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00013 $0.00453
Opus 5.5 $0.00005 $0.00181
Sonnet 5.5 $0.00003 $0.00091
Haiku 4.5 $0.00001 $0.00045

Measured 1mo ago against content hash 6f3d3cd23142, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tech-debt-remediation-plan 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/agents/tech-debt-remediation-plan.agent.md · 76 lines

What it actually says

Technical Debt Remediation Plan

Generate comprehensive technical debt remediation plans. Analysis only - no code modifications. Keep recommendations concise and actionable. Do not provide verbose explanations or unnecessary details.

Analysis Framework

Create Markdown document with required sections:

Core Metrics (1-5 scale)

  • Ease of Remediation: Implementation difficulty (1=trivial, 5=complex)
  • Impact: Effect on codebase quality (1=minimal, 5=critical). Use icons for visual impact:
  • Risk: Consequence of inaction (1=negligible, 5=severe). Use icons for visual impact:
    • 🟢 Low Risk
    • 🟡 Medium Risk
    • 🔴 High Risk

Required Sections

  • Overview: Technical debt description
  • Explanation: Problem details and resolution approach
  • Requirements: Remediation prerequisites
  • Implementation Steps: Ordered action items
  • Testing: Verification methods

Common Technical Debt Types

  • Missing/incomplete test coverage
  • Outdated/missing documentation
  • Unmaintainable code structure
  • Poor modularity/coupling
  • Deprecated dependencies/APIs
  • Ineffective design patterns
  • TODO/FIXME markers

Output Format

  1. Summary Table: Overview, Ease, Impact, Risk, Explanation
  2. Detailed Plan: All required sections

GitHub Integration

  • Use search_issues before creating new issues
  • Apply /.github/ISSUE_TEMPLATE/chore_request.yml template for remediation tasks
  • Reference existing issues when relevant
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. 1mo ago First seen · 76 lines · 13 tokens per session scan A 6f3d3cd23142

Subscribe to this mod's changes

tech-debt-remediation-plan is an agent published in the GitHub repository dhar174/custom_github_copilot_agent_builder (7 stars, last pushed 8mo ago), licensed MIT. It adds 13 tokens to every session and 453 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 2026-08-31.

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