What do I need to use AI-Agent Reliability?

The agent; The stakes; Where it fails now; Your setup.

Is AI-Agent Reliability free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

AI-Agent Reliability

Q: How do I know the AI-Agent Reliability output is good?

The skill verifies itself against its own quality checks: Enumerates failure modes across the agent's whole path; Attaches a specific check to each failure; Includes evals on real and hard cases, scored; Gates consequential actions with a human; automates low-stakes.

🔵 Stable🕐 updated 2026-08-18 🔷 SkillSpec L3 pm-ai-native

Make an AI agent or automation reliable enough to trust — the tests, checks, and guardrails that catch its failures before they reach anything real. Use when asked how do I test my AI agent, make my automation reliable, my agent works sometimes, or how do I trust an AI workflow in production. Produces a map of where the agent can fail (bad input, hallucination, wrong tool call, edge cases, silent errors), the checks that catch each (validation, evals on real cases, human-in-the-loop gates, monitoring), a right-sized reliability plan scaled to the stakes, and a rollout that earns trust incrementally — so an agent that works in a demo becomes one that works in reality. For builders putting AI agents into real workflows.

▶ Run it free — no key needed 📝 Grade your existing draft View SKILL.md ↗

🗣 Say this to your agent

“How do I test my AI agent so I can actually trust it?”“My automation works sometimes — how do I make it reliable?”“How do I put an AI workflow into production safely?”“What checks does my agent need before I let it run on real data?”“How do I know my agent won't do something dumb and irreversible?”

What to give it

▸The agent — what it does, what tools/actions it takes, what it touches

▸The stakes — what a failure costs (drives how hard to test and gate)

▸Where it fails now — the flakiness you've seen (points at the weak spots)

▸Your setup — the framework/tools, and whether you can add evals/monitoring

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓Enumerates failure modes across the agent's whole path

✓Attaches a specific check to each failure

✓Includes evals on real and hard cases, scored

✓Gates consequential actions with a human; automates low-stakes

✓Scales effort to stakes; rolls out to build trust incrementally

⚠️ What it refuses to do

**Shipping a demo** as if it's production-ready.

**No evals** — quality assumed, regressions invisible.

**The same trust level** for a summary and a money transfer.

**Gold-plating a toy** or under-testing a high-stakes system.

**Big-bang launch** with no shadow mode or monitoring.

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="ai-agent-reliability"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

AI-Agent Reliability is one of 1153 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog