quality-gates

A pre-submission checklist for reviewing code for design, behavior, security, errors, tests, and readability.

In plain words
What is it for?
Use it to inspect an implementation, find edge cases and security flaws, and check whether the code is simple, tested, and consistent.
Why use it?
It helps catch serious problems before code is handed in. Critical issues are fixed instead of merely listed.

Skill for Claude CodeCodex

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 skills/dean0x/devflow/quality-gates
Any agent
npx skills add dean0x/devflow --skill quality-gates
Clone the repo
git clone --depth 1 https://github.com/dean0x/devflow

Made for: Claude Code, Codex.

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,028 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00024 $0.01028
Opus 5 $0.00012 $0.00514
Sonnet 5 $0.00005 $0.00206
Haiku 4.5 $0.00002 $0.00103

Measured 2d ago against content hash f3a1098307d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quality-gates 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 2d 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.

src/assets/skills/quality-gates/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Self-Review Framework

Systematic self-review for the Scrutinize agent. Evaluate implementation against 9 pillars. Fix issues, don't just report them.

Based on Google Engineering Practices.

Iron Law

FIX BEFORE RETURNING

Self-review is not a report generator. It's a quality gate. If you find a P0 or P1 issue, you fix it. You only return when all critical issues are resolved. Pride in craftsmanship.


The 9 Pillars

Priority Action Pillars
P0 MUST fix Design, Functionality, Security
P1 SHOULD fix Complexity, Error Handling, Tests
P2 FIX if time Naming, Consistency, Documentation

P0 - Design

Does the implementation fit the architecture? Follows existing patterns, respects layer boundaries, dependencies injected.

If FEATURE_KNOWLEDGE is provided, verify implementation respects the feature area's documented architecture and anti-patterns. Flag deviations as P0-Design issues when the documented pattern is clearly intentional.

P0 - Functionality

Does the code work? Happy path, edge cases (null, empty, boundary), no race conditions.

P0 - Security

Any vulnerabilities? No injection, input validated, no hardcoded secrets, auth checked.

P1 - Complexity

Understandable in 5 minutes? Functions < 50 lines, nesting < 4 levels, no magic numbers.

P1 - Error Handling

Errors handled explicitly? No swallowed exceptions, helpful messages, resources cleaned up.

P1 - Tests

New code tested? Covers happy path, errors, edges. Tests behavior, not implementation.

P2 - Naming

Names clear and descriptive? No cryptic abbreviations, consistent style.

P2 - Consistency

Matches existing patterns? Same style, same conventions, no unnecessary divergence.

P2 - Documentation

Will others understand? Complex logic commented, public APIs documented, no outdated comments.


Quick Examples

Read the full file on GitHub · 153 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 153 lines · 24 tokens per session scan A f3a1098307d5

Subscribe to this mod's changes

quality-gates is a skill published in the GitHub repository dean0x/devflow (19 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 1,028 once invoked, about $0.0001 per session on Opus 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.

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