version: "1.0.0" name: validator-issue description: Files structured GitHub bug reports for agent-validator when users ask to file, report, or open an issue for a suspected defect disable-model-invocation: false allowed-tools: Bash, Read, Glob

/validator-issue

Collect runtime evidence, draft a structured GitHub issue for a suspected agent-validator bug, present a full preview, and file only after confirmation — unless invoked in auto-file mode.

Step 1: Get the Bug Description and Mode

Check for auto-file mode: If $ARGUMENTS begins with --auto-file , set auto-file mode to on and strip the prefix to get the remaining text as the bug description. Skip the confirmation step (Step 4) when auto-file mode is on.

Get the description:

• If a non-empty description remains after stripping any --auto-file prefix, use it as the bug description and proceed to Step 2.
• If $ARGUMENTS is empty (or becomes empty after stripping), ask the user:

> "Please describe the bug you encountered with agent-validator. What happened, what did you expect, and what were you trying to do?"

Wait for their response before continuing.

Step 2: Collect Evidence

Read .validator/config.yml first to resolve log_dir (default: validator_logs if the field is absent or the file doesn't exist).

Collect the following evidence. For each item, note if it is absent — do not fail if files are missing:

1. Config file: Read .validator/config.yml in full.
2. Debug log (last 50 lines): Read the last 50 lines of <log_dir>/.debug.log.

``bash tail -n 50 <log_dir>/.debug.log ``

1. Execution state: Read the full contents of <log_dir>/.execution_state.

Record which files were found and which were absent.

Step 3: Draft the Issue

Draft a GitHub issue with the following structure:

## Problem
 
<A clear, concise description of the bug. Based on the user's description.>
 
## Steps to Reproduce
 
<Step-by-step instructions to reproduce the issue. Infer from the description and evidence, or note "Not yet determined" if unclear.>
 
## Expected vs Actual
 
**Expected:** <What should have happened>
 
**Actual:** <What actually happened>
 
## Evidence
 
> **Before including evidence, redact sensitive values**: remove or replace tokens, API keys, email addresses, and absolute local paths that may appear in config, logs, or state. Replace them with `[REDACTED]` or a generic placeholder.
 
**Config (`.validator/config.yml`):**
<Paste only relevant, non-sensitive config values. Redact tokens, emails, and absolute paths. Note "File not found" if absent.>
 
**Debug log (last 50 lines of `<log_dir>/.debug.log`):**
<Paste minimal relevant excerpt with sensitive values redacted. Note "File not found" if absent.>
 
**Execution state (`<log_dir>/.execution_state`):**
<Paste only fields needed to diagnose the bug; redact sensitive values. Note "File not found" if absent.>
 
**Absent files:** <List any files that were not found, or "None">

Choose a concise, descriptive title: Bug: <short summary of the problem>.

Step 4: Show Preview and Confirm

Present the full draft to the user — both title and body.

If auto-file mode is on: Inform the user that the issue will be filed automatically (show the title and body), then proceed directly to Step 5 without asking.

Otherwise, ask:

"Here is the draft issue. Shall I file it? (yes/no)"

• If the user confirms: proceed to Step 5.
• If the user declines: exit without creating an issue. Inform the user that no issue was filed.

Step 5: File the Issue

Write the issue body to a temporary file and pass it via --body-file to avoid shell interpolation issues with special characters in the body text:

ISSUE_TITLE=$(cat <<'TITLE_EOF'
Bug: <short summary>
TITLE_EOF
)
BODY_FILE=$(mktemp)
cat > "$BODY_FILE" << 'ISSUE_EOF'
<paste the full issue body here>
ISSUE_EOF
gh issue create --repo Codagent-AI/agent-validator --title "$ISSUE_TITLE" --body-file "$BODY_FILE"
rm -f "$BODY_FILE"

Report the created issue URL to the user.