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 agentmods add instructions/ourobx/agent-ebpf/deployment-practicalgit clone --depth 1 https://github.com/ourobx/agent-ebpfWhat 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 | $0.01148 | $0.01148 |
| Opus 5 | $0.00574 | $0.00574 |
| Sonnet 5 | $0.00230 | $0.00230 |
| Haiku 4.5 | $0.00115 | $0.00115 |
Grade C, and why
agent-ebpf deployment-practical.instructions.md scanned grade C with 1 finding 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 yesterday.
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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Copilot Instruction Telemetry: This file was auto-generated by Claude Skills Manager --> How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
deployment-practical
Deployment-practical
Shift from theoretical recommendations to provisionable architecture that survives a real first deploy.
When to use
- User is deploying, planning infra, or fixing first-apply / first-run failures
- Advice so far was generic and did not work on first attempt
- Practical Focus is set to architecture-first or deploy-ready
- Questions about Azure, Terraform, CI/CD, containers, or release pipelines in this repo
1. Read before advising
Scan the repo for existing deployment truth (do not invent a greenfield stack):
| Look for | Why |
|---|---|
**/*.tf, backend.tf, modules/ |
Terraform patterns, state backend, naming |
**/*.bicep, azure.yaml |
Azd/Bicep layout |
.gitlab-ci.yml, .gitlab/ci/*.yml |
Pipeline stages, manual gates, deploy jobs |
.github/workflows/* |
GH Actions deploy pattern |
Dockerfile*, docker-compose* |
Container build and runtime |
.azure/deployment-plan.md, infra/ |
Project-specific deploy plan |
.claude/learning/runs.jsonl |
Known failures and fixes from past sessions |
Pick one default approach aligned with what the repo already uses. Only propose a different stack if the user explicitly asks to change it.
2. Architecture-first output
When explaining or designing, deliver:
- Topology — resources, identities, networks, and data flow (names tied to this project)
- IaC placement — which files/modules change; no orphan snippets
- Pipeline fit — which CI stage runs plan vs apply vs deploy
- First-deploy blockers — RBAC, quotas, Key Vault access, state backend, secrets, region SKUs
- Single recommended path — not a menu of five options unless the user asked for comparison
Skip long theory unless it changes a concrete decision.
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.
- yesterday First seen · 100 lines · 1,148 tokens per session scan C 1ab3be3cd52e
agent-ebpf deployment-practical.instructions.md is an instructions file published in the GitHub repository ourobx/agent-ebpf (1 stars, last pushed 7d ago), licensed MIT. It adds 1,148 tokens to every session, about $0.0057 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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