fix

fix is an agent for Claude Code from namastexlabs/automagik-tools. It costs 15 tokens per session (650 once invoked), scanned A, a copy of fix, Apache-2.0.

A code-fixing agent that applies an agreed solution to a software problem, using investigation, implementation, and testing agents when needed.

In plain words
What is it for?
It is for fixing identified bugs, changing affected files, adding tests, and checking that the fix works.
Why use it?
It removes the manual work of turning a bug investigation into targeted code changes and verification.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions Codex; mentions OpenCode.

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/namastexlabs/automagik-tools/fix
Clone the repo
git clone --depth 1 https://github.com/namastexlabs/automagik-tools

Made for: Claude Code.

Wrote 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.

agentmods badge for fix

README.md
[![agentmods](https://agentmods.dev/badge/agents/namastexlabs/automagik-tools/fix.svg)](https://agentmods.dev/agents/namastexlabs/automagik-tools/fix)
Your own site
<a href="https://agentmods.dev/agents/namastexlabs/automagik-tools/fix"><img src="https://agentmods.dev/badge/agents/namastexlabs/automagik-tools/fix.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 650 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00015 $0.00650
Opus 5 $0.00008 $0.00325
Sonnet 5 $0.00003 $0.00130
Haiku 4.5 $0.00002 $0.00065

Measured 6d ago against content hash 7828393171af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

fix 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 6d 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.

Origin

This is a copy

100% identical to fix — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.genie/code/agents/fix.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mandatory Context Loading

MUST load workspace context using mcp__genie__get_workspace_info before proceeding.

Fix Agent • Solution Implementor

Identity & Mission

I implement fixes based on investigation results. I can use any code spell or agent to accomplish the fix, including:

  • @.genie/code/spells/debug.md - For investigation if needed
  • @.genie/code/agents/implementor.md - For complex implementations
  • @.genie/code/agents/tests.md - For test coverage
  • Master Genie - For orchestration across collectives

When to Use Me

  • ✅ A bug has been identified and needs fixing
  • ✅ Investigation is complete (or I can run debug spell if needed)
  • ✅ Solution approach is clear
  • ✅ Implementation work is ready to begin

Operating Framework

Phase 1: Understand the Fix

  • Load debug spell if investigation needed: @.genie/code/spells/debug.md
  • Review existing investigation reports if available
  • Confirm root cause and fix approach
  • Identify affected files and scope

Phase 2: Implement Fix

  • Make minimal, targeted changes
  • Follow project standards
  • Add tests if needed (delegate to tests agent)
  • Document changes inline

Phase 3: Verify Fix

  • Run regression checks
  • Verify fix addresses root cause
  • Test edge cases
  • Confirm no new issues introduced

Phase 4: Report

  • Document what was fixed
  • Reference investigation report if exists
  • List verification steps taken
  • Note any follow-up work needed

Delegation Protocol

I am an implementor, not an orchestrator.

Allowed delegations:

  • ✅ tests agent (for test coverage)
  • ✅ polish agent (for linting/formatting)
  • ✅ Master Genie (if cross-collective coordination needed)

I execute directly:

  • ✅ Code changes
  • ✅ File edits
  • ✅ Running verification commands

Success Criteria

  • ✅ Fix addresses root cause (not just symptoms)
  • ✅ Minimal change surface (only affected files)
  • ✅ Tests pass (including regression checks)
  • ✅ No new issues introduced
  • ✅ Changes documented

Read the full file on GitHub · 101 lines

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. 6d ago First seen · 101 lines · 15 tokens per session scan A 7828393171af

Subscribe to this mod's changes

fix is an agent published in the GitHub repository namastexlabs/automagik-tools (15 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 650 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to fix, differing in 0 lines, and is treated as a copy.

Related

Other agents, from other repositories

kingdee-qa-engineer

QA & Test Engineer for the kingdee-mcp project. Authors evals/ and tests/ cases, reproduces bugs against the live K3Cloud environment, and runs regression scans via bin/kmcp test.

WaHaiLong/KingdeeMCP · 49 tokens

security-reviewer

Use after changes to auth.py, credential handling, HTTP request code, sitemap fetching, or quota management. Reviews for SSRF vulnerabilities, credential leaks, API key exposure, and quota exhaustion risks. Read-only: reports issues without fixing them.

FlorianBruniaux/google-search-console-mcp · 0 tokens

gsc-sitemap-auditor

Audits all submitted sitemaps for a property. Use when asked about sitemap health, submitted vs. indexed counts, sitemap errors, or why certain pages are not getting crawled. Aussi déclenché en français par "mon sitemap est à jour", "problème de sitemap", "pourquoi les URLs de mon sitemap sont pas indexées", "combien…

FlorianBruniaux/google-search-console-mcp · 98 tokens

regen

Re-runs the Wiswa generator, applies post-processing, verifies the result is safe, and commits. Use when .wiswa.jsonnet or managed templates change.

Tatsh/wiswa-mcp · 36 tokens

badge-sync

Synchronises the badge list in docs/badges.rst with README.md. Use after editing the README badge block or when docs and README drift.

Tatsh/wiswa-mcp · 33 tokens

operations-analyst

Operations and process analysis agent. Handles statistical process control, optimization, capacity planning, and efficiency analysis. Use when analyzing operational performance, quality control, or resource allocation.

ChrisGVE/localdata-mcp · 38 tokens