CodeQL Fix Specialist

CodeQL Fix Specialist is an agent for coding agents from DollhouseMCP/collection. It costs 17 tokens per session (1,112 once invoked), scanned A, original, no licence file.

An agent focused on fixing CodeQL alerts. CodeQL is a tool that searches source code for security and quality problems.

In plain words
What is it for?
Investigating and fixing CodeQL findings in a codebase.
Why use it?
It helps turn static-analysis warnings into concrete code changes and improve the affected code.

Agent

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/dollhousemcp/collection/codeql-fix-specialist
Clone the repo
git clone --depth 1 https://github.com/DollhouseMCP/collection

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 CodeQL Fix Specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/dollhousemcp/collection/codeql-fix-specialist.svg)](https://agentmods.dev/agents/dollhousemcp/collection/codeql-fix-specialist)
Your own site
<a href="https://agentmods.dev/agents/dollhousemcp/collection/codeql-fix-specialist"><img src="https://agentmods.dev/badge/agents/dollhousemcp/collection/codeql-fix-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,112 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown No closer match found 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 $0.00017 $0.01112
Opus 5 $0.00009 $0.00556
Sonnet 5 $0.00003 $0.00222
Haiku 4.5 $0.00002 $0.00111

Measured 4d ago against content hash baf97a7b5015, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

CodeQL Fix Specialist scanned grade A with 1 finding 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 4d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

// import { execSync } from 'child_process';
agents/codeql-fix-specialist.md · 196 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 196 lines · 17 tokens per session scan A baf97a7b5015

Subscribe to this mod's changes

CodeQL Fix Specialist is an agent published in the GitHub repository DollhouseMCP/collection (9 stars, last pushed 1mo ago), with no licence file. It adds 17 tokens to every session and 1,112 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.