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.
npx skills add ArieGoldkin/ai-agent-hub --skill quality-gatesgit clone --depth 1 https://github.com/ArieGoldkin/ai-agent-hubWrote 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/skills/ariegoldkin/ai-agent-hub/quality-gates)<a href="https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/quality-gates"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/quality-gates/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/skills/ariegoldkin/ai-agent-hub/quality-gates"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/quality-gates.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 | $0.00000 | $0.04673 |
| Opus 5 | $0.00000 | $0.02337 |
| Sonnet 5 | $0.00000 | $0.00935 |
| Haiku 4.5 | $0.00000 | $0.00467 |
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 10d 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 — 771 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Gates Skill
Version: 1.0.0 Type: Quality Assurance & Risk Management Auto-activate: Task planning, complexity assessment, requirement gathering, before task execution
Overview
This skill teaches agents how to assess task complexity, enforce quality gates, and prevent wasted work on incomplete or poorly-defined tasks. Inspired by production-grade development practices, quality gates ensure agents have sufficient context before proceeding and automatically escalate when stuck or blocked.
Key Principle: Stop and clarify before proceeding with incomplete information. Better to ask questions than to waste cycles on the wrong solution.
When to Use This Skill
Auto-Activate Triggers
- Receiving a new task assignment
- Starting a complex feature implementation
- Before allocating work in Squad mode
- When requirements seem unclear or incomplete
- After 3 failed attempts at the same task
- When blocked by dependencies
Manual Activation
- User asks for complexity assessment
- Planning a multi-step project
- Before committing to a timeline
- When uncertain about requirements
Core Concepts
1. Complexity Scoring (1-5 Scale)
Assess every task on a 1-5 complexity scale:
Level 1: Trivial
- Single file change
- Simple variable rename
- Documentation update
- CSS styling tweak
- < 50 lines of code
- < 30 minutes estimated
- No dependencies
- No unknowns
Level 2: Simple
- 1-3 file changes
- Basic function implementation
- Simple API endpoint (CRUD)
- Straightforward component
- 50-200 lines of code
- 30 minutes - 2 hours estimated
- 0-1 dependencies
- Minimal unknowns
Level 3: Moderate
- 3-10 file changes
- Multiple component coordination
- API with validation and error handling
- State management integration
- Database schema changes
- 200-500 lines of code
- 2-8 hours estimated
- 2-3 dependencies
- Some unknowns that need research
Level 4: Complex
- 10-25 file changes
- Cross-cutting concerns
- Authentication/authorization
- Real-time features (WebSockets)
- Payment integration
- Database migrations with data
- 500-1500 lines of code
- 8-24 hours (1-3 days) estimated
- 4-6 dependencies
- Significant unknowns
- Multiple decision points
What ships with it
3 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.
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.
- 10d ago First seen · 771 lines · 0 tokens per session scan A 2d1c636ef0a0
quality-gates is a skill published in the GitHub repository ArieGoldkin/ai-agent-hub (11 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,673 tokens. 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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