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/kylehuirevvision/databricks-cost-optimizer/agents-mdgit clone --depth 1 https://github.com/kylehuirevvision/databricks-cost-optimizerWrote 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/kylehuirevvision/databricks-cost-optimizer/agents-md)<a href="https://agentmods.dev/instructions/kylehuirevvision/databricks-cost-optimizer/agents-md"><img src="https://agentmods.dev/badge/instructions/kylehuirevvision/databricks-cost-optimizer/agents-md.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 | $0.00209 | $0.00209 |
| Opus 5 | $0.00105 | $0.00105 |
| Sonnet 5 | $0.00042 | $0.00042 |
| Haiku 4.5 | $0.00021 | $0.00021 |
Grade A, and why
databricks-cost-optimizer AGENTS.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 4d 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
Repository instructions
- Treat every Databricks investigation as read-only until the user explicitly authorizes a specific mutation.
- Never publish generated reports, Databricks hosts, account/workspace/resource IDs, user emails, tokens, secret names, or customer table names.
- Distinguish effective list-price estimates from negotiated invoice cost.
- State the billing coverage window and ingestion-lag caveat in every cost conclusion.
- Before changing a warehouse, App, Job, pipeline, permission, or budget, name the affected workloads, user-visible impact, rollback, and exact approval boundary.
- Keep
.agents/skills/optimize-databricks-costsand.claude/skills/optimize-databricks-costsidentical. Edit the.agentscopy, then runpython3 scripts/sync_skill.py --write. - Validate with
python3 -m unittest discover -s tests -v,python3 scripts/sync_skill.py --check, andpython3 scripts/check_public_safety.py.
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.
- 4d ago First seen · 10 lines · 209 tokens per session scan A cc40b19b61bd
databricks-cost-optimizer AGENTS.md is an instructions file published in the GitHub repository kylehuirevvision/databricks-cost-optimizer (5 stars, last pushed 25d ago), licensed MIT. It adds 209 tokens to every session, about $0.0010 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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