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Bug Reporter

Community
Firstp1ck
bug-reporter

Agents should invoke this skill when defects, regressions, failed tests, unexpected behavior, or spec mismatches are found. Produces structured reproducible bug reports with severity, evidence, environment, and actionable next steps.

Overview

PublisherFirstp1ck
Repositorypi-coding-agent-forge
Skill namebug-reporter
Stars
93
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Firstp1ck on GitHub. Read the source before you install it.

Installation

Install the Bug Reporter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-skill-bug-reporter/skills/bug-reporter
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forge.git /tmp/pi-coding-agent-forge
mkdir -p .claude/skills
cp -r /tmp/pi-coding-agent-forge/pi-skill-bug-reporter/skills/bug-reporter .claude/skills/bug-reporter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bug Reporter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bug Reporter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bug Reporter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bug Reporter

Produce clear, actionable, reproducible bug reports.

Bug Report Template

Every bug report follows this exact structure:

markdown
## BUG-<number>: <Short descriptive title>

**Severity:** Blocker / Critical / Major / Minor
**Module:** <module name from architecture>
**Spec Reference:** <requirement ID or spec section>
**Found During:** <test case ID or manual testing description>

### Reproduction Steps

**Preconditions:**
- [Required state, configuration, or setup]

**Steps:**
1. [Exact step]
2. [Exact step]
3. [Exact step — this triggers the bug]

### Expected Result

[What the spec says should happen, with spec section reference]

### Actual Result

[What actually happens]

**Evidence:**
- Error message: `<exact error text>`
- Log output: `<relevant log lines>`
- Test output: `<test failure details>`

### Environment

- OS: [if relevant]
- Runtime: [Node version, Rust toolchain, Python version]
- Configuration: [relevant config settings]
- Database state: [if relevant]

### Analysis

**Likely root cause:** [Brief assessment if obvious, "Unknown" if not]
**Related bugs:** [BUG-XXX if related]
**Workaround:** [If one exists, describe it. Otherwise "None known."]

Severity Classification

Blocker

  • Application crashes or won't start
  • Data loss or corruption
  • Core user flow completely broken (can't login, can't save)
  • Security bypass (flag to Zero as well)

Critical

  • Major feature doesn't work
  • No workaround available
  • Affects majority of users
  • Spec requirement completely unmet

Major

  • Feature partially broken
  • Workaround exists but is inconvenient
  • Affects specific user scenarios
  • Edge case in a core flow

Minor

  • Cosmetic or display issue
  • Typo in user-facing text
  • Non-critical edge case
  • Unexpected but harmless behavior

Bug Numbering

Within a QA pass, bugs are numbered sequentially: BUG-001, BUG-002, etc. If re-testing after fixes, new bugs continue the sequence (BUG-005, BUG-006). Fixed bugs keep their original number — mark them as FIXED in the report.

Bug Summary Table

At the top of every QA report, include a summary:

markdown
| Bug | Severity | Module | Status | Summary |
|---|---|---|---|---|
| BUG-001 | Critical | auth | OPEN | Login fails with valid credentials |
| BUG-002 | Major | profile | OPEN | Avatar upload accepts files > 10MB |
| BUG-003 | Minor | ui | OPEN | Footer overlaps on mobile viewport |

Re-test Protocol

When Forge fixes a bug:

  1. Pull the latest code
  2. Reproduce using the original steps — verify the bug is fixed
  3. Run the related test cases — verify no regressions
  4. Update the bug status: OPEN → FIXED
  5. If the fix introduced a new bug, file it as a new BUG-XXX

Watchdog skill — Structured bug reporting and severity classification

Frequently asked questions

What does the Bug Reporter AI skill do?

Agents should invoke this skill when defects, regressions, failed tests, unexpected behavior, or spec mismatches are found. Produces structured reproducible bug reports with severity, evidence, environment, and actionable next steps.

Why use Bug Reporter on TypingMind?

Because you install it once and use it with any model. Bug Reporter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bug Reporter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-skill-bug-reporter/skills/bug-reporter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bug Reporter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bug Reporter?

As many as you like. As long as a model supports skills, you can use Bug Reporter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bug Reporter AI skill free?

Yes. It is published on GitHub by Firstp1ck under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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