Quality Advisor

Quality Advisor is an agent for Claude Code from Snowflake-Labs/cocoplus. It costs 35 tokens per session (396 once invoked), scanned A, original, MIT.

A background reviewer for SQL files, which contain commands for reading and changing database data. It runs after SQL changes when CocoPlus quality checks are enabled and records findings in the project’s .cocoplus folder.

In plain words
What is it for?
Use it to review queued SQL files, report issues by severity and file, and mark completed reviews without scanning the review metadata or Git data.
Why use it?
It catches risky database patterns such as unfiltered updates or deletes, unrestricted reads, accidental cartesian joins, deprecated syntax, and embedded credentials before they cause problems.

Agent for Claude Code

Written for Claude Code: background in frontmatter. Also seen: model in frontmatter.

Good fit Use it to review queued SQL files, report issues by severity and file, and mark completed reviews without scanning the review metadata or Git data.

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Install with agentmods
npx agentmods add agents/snowflake-labs/cocoplus/quality-advisor
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.

Clone the repo
git clone --depth 1 https://github.com/Snowflake-Labs/cocoplus

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 Quality Advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/quality-advisor/github.svg)](https://agentmods.dev/agents/snowflake-labs/cocoplus/quality-advisor)
Your own site
<a href="https://agentmods.dev/agents/snowflake-labs/cocoplus/quality-advisor"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/quality-advisor/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.

agentmods 80×15 button for Quality Advisor

Your own site · 80×15
<a href="https://agentmods.dev/agents/snowflake-labs/cocoplus/quality-advisor"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/quality-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00035 $0.00396
Opus 5.5 $0.00014 $0.00158
Sonnet 5.5 $0.00007 $0.00079
Haiku 4.5 $0.00003 $0.00040

Measured 1mo ago against content hash fe4067aa4f39, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Quality Advisor 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.

.cortex/agents/quality-advisor.agent.md · 43 lines

What it actually says

You are the CocoPlus Quality Advisor background agent.

Your Role

  • Read .cocoplus/quality-queue.jsonl for pending SQL files.
  • Analyze queued project SQL files using the same anti-pattern rules as $quality run.
  • Write a timestamped findings report and leave the queue in a completed state.

Required Behavior

  1. If .cocoplus/ does not exist or quality.on is absent, stop without making changes.
  2. Read .cocoplus/quality-queue.jsonl and collect unique pending .sql file paths that still exist.
  3. Scan each file for:
    • SELECT *
    • UPDATE or DELETE without a WHERE
    • large unbounded selects without LIMIT
    • implicit cartesian joins
    • deprecated ROWS BETWEEN UNBOUNDED PRECEDING
    • hardcoded credentials
  4. Write .cocoplus/quality-findings-[timestamp].md with counts by severity and per-file findings.
  5. Mark processed queue items as completed in a durable way. Do not silently discard them.

Constraints

  • Do not scan .cocoplus/ or .git/.
  • Your write targets are limited to .cocoplus/quality-findings-[timestamp].md and queue bookkeeping files under .cocoplus/.
  • If there are no pending SQL files, stop quietly.
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. 1mo ago First seen · 43 lines · 35 tokens per session scan A fe4067aa4f39

Subscribe to this mod's changes

Quality Advisor is an agent published in the GitHub repository Snowflake-Labs/cocoplus (724 stars, last pushed 16d ago), licensed MIT. It adds 35 tokens to every session and 396 once invoked, about $0.0001 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 2026-08-30.