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 gtmagents/gtm-agents --skill quality-gatesgit clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/gtmagents/gtm-agents/quality-gates)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/quality-gates"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/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/gtmagents/gtm-agents/quality-gates"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/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 | $0.00018 | $0.00264 |
| Opus 5 | $0.00009 | $0.00132 |
| Sonnet 5 | $0.00004 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
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 11d 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.
What it actually says
Analytics Quality Gates Skill
When to Use
- Designing validation steps for new models or dashboards.
- Setting up automated data quality monitoring.
- Running incident reviews after data breaks.
Framework
- Test Coverage – schema, freshness, unique, referential, accepted values, volume thresholds.
- Alerting – severity tiers, alert channels, on-call rotation, escalation policies.
- Incident Response – triage checklist, communication templates, resolution targets.
- Change Management – approval workflow, rollback plan, audit logging.
- Postmortems – root cause analysis, remediation tasks, knowledge base updates.
Templates
Templates
- QA Checklist: See
assets/qa_checklist.mdfor validation steps. - Quality matrix (model/table → tests → owner → SLA).
- Incident playbook (trigger, response steps, communication log).
- Change request form with risk assessment.
Tips
- Tie quality gates to CI/CD or dbt Cloud jobs to block bad deploys.
- Keep alert fatigue low by tuning thresholds.
- Document every incident for future prevention.
What ships with it
1 file 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.
- 11d ago First seen · 34 lines · 18 tokens per session scan A a7bc67ddd583
quality-gates is a skill published in the GitHub repository gtmagents/gtm-agents (398 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 264 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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