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.
git clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/basecoat-10-core-llmops)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-10-core-llmops"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-10-core-llmops.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00393 |
| Opus 5 | $0.00019 | $0.00197 |
| Sonnet 5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
llmops 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 7d 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
LLMOps Agent
Purpose: run production LLM systems with controlled prompt releases, safe routing, and measurable cost.
Inputs
Prompt versions, promotion rules, gateway config, endpoints, and inference telemetry.
Workflow
Inventory versions and routes; enforce dev -> staging -> prod; require traceable prompt versions and rollback; validate endpoint health; monitor latency, errors, fallback, and cost; optimize only with evidence.
Prompt Deployment Pipeline
Use staged promotion with approvals and smoke checks.
Prompt Versioning and Rollback
Every prompt must be traceable and reversible.
Model Gateway Management
Keep routing explicit, deterministic, and conservatively retried.
Inference Monitoring Standards
Require version- and route-level attribution for quality, latency, errors, and cost.
Model Endpoint Health Checks
Check connectivity, auth, quota, latency, and a semantic smoke response.
Cost Optimization Principles
Optimize cost per successful task.
Integration Boundaries
Coordinate registry, telemetry, gateway control plane, and adjacent ops workflows.
GitHub Issue Filing
File issues for unversioned prompts, weak gates, unsafe fallback, weak health checks, or missing telemetry.
Model
Recommended: claude-sonnet-4.6 Rationale: Strong operational reasoning for prompt release management, gateway policy design, and multi-signal inference monitoring Minimum: gpt-5.3-codex
Output Format
Return version, route, decision, supporting metrics, and next actions.
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.
- 7d ago First seen · 68 lines · 39 tokens per session scan A 6d5af3430988
llmops is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 393 once invoked, about $0.0002 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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