Ac Issue

Issue Reporter

Creates GitHub issues in the central agentic-config repository (WaterplanAI/agentic-config) for bug reports and feature requests.

Usage

/ac-issue                           # Context-based: extract from conversation
/ac-issue "Title" "Description"     # Explicit: user provides details
/ac-issue --bug "Title"             # Bug report with template
/ac-issue --feature "Title"         # Feature request with template

Target Repository: WaterplanAI/agentic-config

Workflow Steps

Step 1: Authentication Verification (CRITICAL - DO FIRST)

INSTRUCTION: Verify GitHub CLI authentication before any other operation.

# Check if gh CLI is installed
if ! GH_BIN=$(command -v gh); then
  echo "ERROR: GitHub CLI (gh) not found"
  echo ""
  echo "Please install GitHub CLI: https://cli.github.com/"
  exit 1
fi

echo "Checking GitHub CLI authentication..."
GH_AUTH_OUTPUT=$("$GH_BIN" auth status 2>&1)
GH_AUTH_STATUS=$?

if [ $GH_AUTH_STATUS -ne 0 ]; then
  echo "ERROR: GitHub CLI not authenticated"
  echo ""
  echo "$GH_AUTH_OUTPUT"
  echo ""
  echo "Please authenticate with: gh auth login"
  exit 1
fi

echo "$GH_AUTH_OUTPUT"
echo ""
echo "Authentication verified."

Validation Logic:

1. Run gh auth status and capture exit code
2. If exit code != 0: STOP immediately with error and gh auth login instruction
3. If authenticated: Continue with success message

Step 2: Input Mode Detection

INSTRUCTION: Parse arguments to determine input mode.

Arguments: $ARGUMENTS

Mode Detection Logic:

Parsing Examples:

$ARGUMENTS = ""                          -> Context Mode
$ARGUMENTS = "--bug \"Auth fails\""      -> Bug Template, title="Auth fails"
$ARGUMENTS = "--feature \"Add X\""       -> Feature Template, title="Add X"
$ARGUMENTS = "\"Title\" \"Body text\""   -> Explicit, title="Title", body="Body text"

Step 3: Context Extraction (If Context Mode)

INSTRUCTION: If no arguments provided, analyze recent conversation for issue details.

Context Extraction Heuristics:

1. Search recent messages for error patterns:

   • Error:, ERROR:, Exception:, failed, unexpected
   • Stack traces: Lines with at , File ", traceback patterns
   • Command failures: exit code, returned non-zero

2. Extract reproduction context:

   • "I tried...", "When I...", "After running..."
   • Command sequences that led to the issue

3. Identify expected vs actual behavior:

   • "Expected...", "but got...", "instead of..."

If Context Found:

• Generate title: Summarize error/ac-issue in <60 chars
• Generate description: Include error messages, context, steps observed

If No Context Found:

• STOP and prompt user:

  No issue context detected in recent conversation.
  
  Please provide issue details:
  /ac-issue "Title" "Description"
  
  Or specify type:
  /ac-issue --bug "Brief description of the bug"
  /ac-issue --feature "Brief description of the feature"
  

Step 4: Environment Metadata Collection

INSTRUCTION: Gather safe environment information for issue context.

# Collect environment info (sanitized)
ENV_OS=$(uname -s || echo "Unknown")
ENV_OS_VERSION=$(uname -r || echo "Unknown")
ENV_SHELL=$([ -n "${SHELL:-}" ] && basename "$SHELL" || echo "Unknown")
if GIT_BIN=$(command -v git); then
  ENV_GIT_VERSION=$("$GIT_BIN" --version | cut -d' ' -f3)
  ENV_BRANCH=$("$GIT_BIN" branch --show-current || echo "N/A")
else
  ENV_GIT_VERSION="Unknown"
  ENV_BRANCH="N/A"
fi

# Get agentic-config version from plugin.json
PLUGIN_JSON="${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json"
if [ -f "$PLUGIN_JSON" ]; then
  ENV_AGENTIC_VERSION=$(python3 -c "import json; print(json.load(open('$PLUGIN_JSON'))['version'])" || echo "Unknown")
else
  ENV_AGENTIC_VERSION="Unknown"
fi

echo "Environment collected:"
echo "  OS: $ENV_OS $ENV_OS_VERSION"
echo "  Shell: $ENV_SHELL"
echo "  Git: $ENV_GIT_VERSION"
echo "  Branch: $ENV_BRANCH"
echo "  agentic-config: $ENV_AGENTIC_VERSION"

Information to EXCLUDE (Privacy/Security):

• Absolute paths containing usernames (sanitize with ~)
• API keys or tokens (patterns: ghp_, sk-, AKIA, 32+ char alphanumeric)
• Email addresses
• Private repository names
• Contents of .env files

Step 5: Sanitization

INSTRUCTION: Sanitize any user-provided or extracted content before including in issue.

Sanitization Rules:

1. Path Anonymization:

   # Replace home directory with ~
   sanitized="${content//$HOME/\~}"
   
   # Replace common user path patterns
   sanitized=$(echo "$sanitized" | sed -E 's|/Users/[^/]+|~|g; s|/home/[^/]+|~|g')
   

2. Secret Detection:

   • Check for API key patterns: [A-Za-z0-9_-]{32,}
   • Check for token prefixes: ghp_, gho_, sk-, AKIA, Bearer
   • If detected: Replace with [REDACTED] and warn user

3. Warning on Detection:

   WARNING: Potential sensitive data detected and redacted.
   Please review the preview carefully before submitting.
   

Step 6: Issue Body Formatting

INSTRUCTION: Format the issue body with structured sections.

Bug Report Template (when --bug flag used):

## Bug Description
<user-provided or context-extracted description>

## Environment
- OS: <ENV_OS> <ENV_OS_VERSION>
- Shell: <ENV_SHELL>
- Git: <ENV_GIT_VERSION>
- agentic-config: <ENV_AGENTIC_VERSION>

## Steps to Reproduce
<if available from context, otherwise "Not provided">

## Expected Behavior
<if available>

## Actual Behavior
<error messages, stack traces from context>

---
Reported via `/ac-issue` command

Feature Request Template (when --feature flag used):

## Feature Description
<user-provided description>

## Use Case
<why this feature would be useful>

## Proposed Solution
<if user provided suggestions>

## Environment
- agentic-config: <ENV_AGENTIC_VERSION>

---
Reported via `/ac-issue` command

General Template (explicit or context mode):

## Description
<user-provided or context-extracted description>

## Environment
- OS: <ENV_OS> <ENV_OS_VERSION>
- Shell: <ENV_SHELL>
- Git: <ENV_GIT_VERSION>
- agentic-config: <ENV_AGENTIC_VERSION>

## Context
<relevant error messages, stack traces, or unexpected behavior if available>

## Additional Information
<any other relevant details>

---
Reported via `/ac-issue` command

Step 7: Issue Preview and Confirmation

INSTRUCTION: Display formatted issue preview and wait for user confirmation.

Display Format:

Issue Title: <TITLE>
Repository: WaterplanAI/agentic-config
Labels: <bug | enhancement | none>

Body:
---
<FORMATTED_BODY>
---

Create this issue? (yes/no/edit)
- yes: Create the issue as shown
- no: Cancel issue creation
- edit: Provide modified title or description

Confirmation Logic:

• Wait for explicit yes before proceeding
• If no: Exit gracefully with "Issue creation cancelled"
• If edit: Prompt for new title/description and re-preview

Step 8: Create Issue

INSTRUCTION: Execute gh CLI to create the issue.

# Determine label based on mode
LABEL_FLAG=""
if [ "$MODE" = "bug" ]; then
  LABEL_FLAG="--label bug"
elif [ "$MODE" = "feature" ]; then
  LABEL_FLAG="--label enhancement"
fi

# Create issue with HEREDOC for body
ISSUE_URL=$(gh issue create \
  --repo WaterplanAI/agentic-config \
  --title "$ISSUE_TITLE" \
  $LABEL_FLAG \
  --body "$(cat <<'EOF'
<FORMATTED_BODY>
EOF
)" 2>&1)

CREATE_STATUS=$?

if [ $CREATE_STATUS -ne 0 ]; then
  echo "ERROR: Failed to create issue"
  echo "$ISSUE_URL"
  echo ""
  echo "You can try creating the issue manually at:"
  echo "https://github.com/WaterplanAI/agentic-config/issues/new"
  exit 1
fi

echo "$ISSUE_URL"

Step 9: Report Results

INSTRUCTION: Display success message with issue URL and next steps.

ISSUE CREATED SUCCESSFULLY

Issue URL: <ISSUE_URL>
Title: <ISSUE_TITLE>
Repository: WaterplanAI/agentic-config

Next Steps:
1. View issue: <ISSUE_URL>
2. Add more context if needed via GitHub web interface
3. Monitor for maintainer response

Thank you for contributing to agentic-config!

Error Handling

Security Considerations

1. Path Sanitization: All paths anonymized before inclusion
2. Secret Detection: Scan for API keys, tokens before submission
3. No .env Content: Never include environment file contents
4. User Confirmation: Always preview before creating
5. Read-Only Default: No modifications to local files

Design Decisions

1. Central Repository Target

   • All issues go to WaterplanAI/agentic-config
   • Ensures consolidated issue tracking for the project

2. Dual Input Mode

   • Context extraction for seamless error reporting
   • Explicit mode for planned feature requests

3. Mandatory Preview

   • Always show preview before creating
   • Prevents accidental sensitive data exposure

4. Minimal Tool Requirements

   • Only needs Bash and Read (no Write)
   • gh CLI handles all GitHub interaction

5. Project-Agnostic Design

   • Works from any agentic-config installation
   • Uses CLAUDE_PLUGIN_ROOT for plugin-aware path resolution