Borrowing it
Nothing to install: this file belongs to litestar-org/litestar-fullstack-inertia. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/litestar-org/litestar-fullstack-inertia/main/.claude/commands/fix-issue.mdgit clone --depth 1 https://github.com/litestar-org/litestar-fullstack-inertiaWrote 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.
[](https://agentmods.dev/commands/litestar-org/litestar-fullstack-inertia/fix-issue)<a href="https://agentmods.dev/commands/litestar-org/litestar-fullstack-inertia/fix-issue"><img src="https://agentmods.dev/badge/commands/litestar-org/litestar-fullstack-inertia/fix-issue/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.
<a href="https://agentmods.dev/commands/litestar-org/litestar-fullstack-inertia/fix-issue"><img src="https://agentmods.dev/badge/commands/litestar-org/litestar-fullstack-inertia/fix-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00007 | $0.01003 |
| Opus 5.5 | $0.00003 | $0.00401 |
| Sonnet 5.5 | $0.00001 | $0.00201 |
| Haiku 4.5 | $0.00001 | $0.00100 |
Grade A, and why
fix-issue 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.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Issue Fix Workflow
You are fixing issue: $ARGUMENTS
Workflow Overview
- Load issue context
- Investigate root cause
- Implement fix with pattern compliance
- Test thoroughly
- Verify quality gates
Checkpoint 0: Load Issue Context
Fetch issue details:
gh issue view {issue_number}
Or if URL provided:
Use WebFetch to read issue content.
Extract key information:
- Issue description
- Expected behavior
- Actual behavior
- Steps to reproduce
- Related files mentioned
Output: "✓ Checkpoint 0 complete - Issue loaded: {title}"
Checkpoint 1: Root Cause Investigation
Use debug tool for complex issues:
mcp__pal__debug(
step="Investigating issue #{issue_number}...",
step_number=1,
total_steps=3,
next_step_required=true,
findings="Issue description: ...",
hypothesis="The root cause might be..."
)
Search for related code:
# Find related files
grep -r "{keyword}" app/ --include="*.py"
grep -r "{keyword}" resources/ --include="*.tsx"
# Find error sources
grep -r "{error_message}" app/
Read related files:
cat {related_file}
Document findings:
## Investigation Findings
### Root Cause
[Description of the root cause]
### Affected Files
- `path/to/file.py:line` - Description
- `path/to/file.tsx:line` - Description
### Proposed Fix
[Description of the fix approach]
Output: "✓ Checkpoint 1 complete - Root cause identified"
Checkpoint 2: Pattern Check
Before implementing fix, verify patterns:
Read similar implementations to understand existing patterns:
# Find similar code
grep -r "similar_pattern" app/
Ensure fix follows:
- Existing code style
- Type hint conventions (T | None)
- Error handling patterns
- Test patterns
Output: "✓ Checkpoint 2 complete - Patterns verified"
Checkpoint 3: Implement Fix
Make minimal, focused changes:
- Only fix what's broken
- Don't refactor surrounding code
- Don't add unrelated improvements
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.
- 1mo ago First seen · 236 lines · 7 tokens per session scan A 9f19b3028654
fix-issue is a command published in the GitHub repository litestar-org/litestar-fullstack-inertia (44 stars, last pushed yesterday), licensed MIT. It adds 7 tokens to every session and 1,003 once invoked, about $0.0000 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 2026-09-03.
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AGENTS
Run the current binary in a temporary test repository with a real PTY. Use tmux-cli when available, capture terminal output, and inspect -vv logs when behavior depends on timing or shell state. Avoid treating a piped command as proof of interactive behavior.
fix-issue
Analyze and fix the GitHub issue: $ARGUMENTS.
bug-fix
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