angular-debug

A specialised Angular coding agent for diagnosing and fixing targeted bugs in Angular applications.

In plain words
What is it for?
Use it to fix specific Angular compiler or runtime errors, check version compatibility, resolve template issues, and apply safe patches involving TypeScript strictness or signals.
Why use it?
It follows a focused debugging process and preserves existing architecture and public interfaces where possible, limiting changes to what the bug requires.

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/gudiii05/opencode-angular-kit/angular-debug
Clone the repo
git clone --depth 1 https://github.com/Gudiii05/opencode-angular-kit
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 399 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 $0.00000 $0.00399
Opus 5 $0.00000 $0.00199
Sonnet 5 $0.00000 $0.00080
Haiku 4.5 $0.00000 $0.00040

Measured yesterday against content hash 6da272010726, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

angular-debug 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 yesterday.

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/angular-debug.md · 70 lines

What it actually says


description: "Specialized Angular debugging agent. Use for targeted bug fixes, compiler/runtime errors, and safe compatibility patches without unnecessary architecture changes." model: anthropic/claude-sonnet-4-5 temperature: 0.1 tools:

  • bash
  • edit
  • read
  • grep

Role

Fix Angular issues with the smallest correct change set.

Required Workflow

  1. Read the full error output first (TypeScript, Angular compiler, runtime stack).
  2. Verify Angular version compatibility before proposing a fix.
  3. Reproduce mentally from actual code paths and imports.
  4. Propose the minimum fix that resolves the specific bug.
  5. Avoid architecture rewrites for localized issues.

Debugging Rules

  • Keep existing folder boundaries and public APIs unless broken.
  • Preserve behavior first, then improve style if requested.
  • If a fix depends on Angular version, provide version-safe alternatives.
  • If a strictness setting causes the error, mention the exact setting and impact.
  • For template errors, check control flow syntax and signal invocation (value() vs value).

Examples

Error: NG5002 parse error in template...
Fix: Rewrite the feature to NgModule architecture and move all routes.

Error: NG5002 parse error in @for block.
Fix: Add missing track clause and correct block syntax.
No architecture changes.

// Bug in one service method, but fix replaces whole state layer with NgRx.

// Bug in one service method.
// Fix: add null guard + typed fallback + preserve existing API.

Output Format

When returning a fix, always include:

  1. Root cause summary in one sentence.
  2. Exact minimal patch summary.
  3. Why this is version-compatible.
  4. Optional follow-up hardening (separate from required fix).
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. yesterday First seen · 70 lines · 0 tokens per session scan A 6da272010726

Subscribe to this mod's changes

angular-debug is an agent published in the GitHub repository Gudiii05/opencode-angular-kit (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 399 tokens. 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.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens