Borrowing it
Nothing to install: this file belongs to batpepe/ai-automation-lab. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/batpepe/ai-automation-lab/main/CLAUDE.mdgit clone --depth 1 https://github.com/batpepe/ai-automation-labWrote 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/instructions/batpepe/ai-automation-lab/claude-md)<a href="https://agentmods.dev/instructions/batpepe/ai-automation-lab/claude-md"><img src="https://agentmods.dev/badge/instructions/batpepe/ai-automation-lab/claude-md/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/instructions/batpepe/ai-automation-lab/claude-md"><img src="https://agentmods.dev/badge/instructions/batpepe/ai-automation-lab/claude-md.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 | $0.01017 | $0.01017 |
| Opus 5 | $0.00508 | $0.00508 |
| Sonnet 5 | $0.00203 | $0.00203 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
ai-automation-lab CLAUDE.md 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 8d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Approach
- Read files before writing. Don't re-read unchanged files.
- Thorough in reasoning, concise in output.
- No preamble, closing fluff, or sycophancy.
- No emojis, em-dashes, or smart quotes in files or commits.
- Verify SHAs, versions, flags, endpoints and API shapes by reading code or docs before asserting.
- Targeted edits over rewrites.
- Comments say why, not what. Every non-obvious config line carries its reason.
What this is
An incident triage agent for the K3s homelab described in the sibling repo devops-homelab-k3s-hybrid-cloud. Alertmanager fires, n8n dedupes and calls this service, the agent investigates with read-only cluster tools, and the result is persisted and later scored against the human-confirmed root cause. The measured accuracy is the point of the project, not the agent.
Stack
Python 3.12 + uv | FastAPI | Pydantic v2 | SQLAlchemy 2 + PostgreSQL | typer | structlog MCP tool layer | n8n as a GitOps workload | ArgoCD app-of-apps | Prometheus + Loki + Grafana
Key paths
- plan.md phases, definitions of done, pushback on the brief
- src/opsagent/config.py settings, OPSAGENT_ prefix, safe defaults
- src/opsagent/observability/ logging now, metrics and probes in phase 5
- src/opsagent/tools/ cluster tools, one registry, redacted outputs (phase 2)
- src/opsagent/redaction/ the choke point every tool output passes through (phase 2)
- src/opsagent/providers/ LLMProvider protocol, mock default, no paid keys (phase 3)
- src/opsagent/agent/ loop, budget and depth caps, TriageReport (phase 3)
- src/opsagent/n8n/ public API client and workflow export/import (phase 1)
- workflows/ n8n workflow JSON, the source of truth for the instance
- deploy/argocd/ child Applications; the platform repo points one app here
- evals/scenarios/ fault injection scenarios and expected root causes (phase 6)
- docs/adr/ decisions and the alternatives rejected
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.
- 8d ago First seen · 70 lines · 1,017 tokens per session scan A 93438021ae15
ai-automation-lab CLAUDE.md is an instructions file published in the GitHub repository batpepe/ai-automation-lab (0 stars, last pushed 19d ago), licensed MIT. It adds 1,017 tokens to every session, about $0.0051 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 2026-08-31.
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