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 rules/vegastack/vegastack-cli/cursor-rulegit clone --depth 1 https://github.com/vegastack/vegastack-cliWhat 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 | $0.00000 | $0.00577 |
| Opus 5 | $0.00000 | $0.00289 |
| Sonnet 5 | $0.00000 | $0.00115 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
cursor-rule 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 2d 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
vegastack-terraform (Cursor rule)
This rule mirrors the SKILL.md shipped at <plugin-root>/skills/vegastack/SKILL.md. After installing @vegastack/cli, run vegastack skills install --agent cursor to drop this .mdc into <project>/.cursor/rules/.
How to use
- Run
vegastack tf "<user request>"(one call; the harness auto-detects the provider). Output is one JSON envelope withfiles[],knowledge[],recipes[],concept_aliases_used[]. - Read
knowledge[]first — those cards override stale training memory whenoverrides_training: true. - The top-K
files[]arrive enriched withmanifest_entry(top-level args,blocks: {},import_syntax,deprecated,recommended_companions) and the inlineexample_usageblock. No follow-upjqorgrepneeded for ~95% of tasks. - Cite
citations[](file paths + knowledge-card IDs + recipe IDs) in your reply.
Hard rules
- Never invent resource names or arguments. The manifest is the source of truth.
- Never fabricate import IDs. Use
manifest_entry.import_syntax.commandverbatim. - Respect
deprecated: true— tell the user before generating code. - One provider per
vegastack tfcall. Multi-provider work usesrecipes[]. - Never write to
~/.config/vegastack/bundle/from a tool call — the bundle is read-only.
Full reference
For the complete workflow, examples, and reference files, read <plugin-root>/skills/vegastack/SKILL.md and the files in <plugin-root>/skills/vegastack/references/.
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.
- 2d ago First seen · 39 lines · 0 tokens per session scan A 959c24ab8f8c
cursor-rule is a cursor rule published in the GitHub repository vegastack/vegastack-cli (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 577 tokens. 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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