Borrowing it
Nothing to install: this file belongs to vaultys/VaultysClaw. 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/vaultys/VaultysClaw/main/.github/instructions/control-plane.instructions.mdgit clone --depth 1 https://github.com/vaultys/VaultysClawWrote 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/vaultys/vaultysclaw/control-plane)<a href="https://agentmods.dev/instructions/vaultys/vaultysclaw/control-plane"><img src="https://agentmods.dev/badge/instructions/vaultys/vaultysclaw/control-plane/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/vaultys/vaultysclaw/control-plane"><img src="https://agentmods.dev/badge/instructions/vaultys/vaultysclaw/control-plane.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 | $0.01639 | $0.01639 |
| Opus 5.5 | $0.00656 | $0.00656 |
| Sonnet 5.5 | $0.00328 | $0.00328 |
| Haiku 4.5 | $0.00164 | $0.00164 |
Grade A, and why
VaultysClaw control-plane.instructions.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 2mo 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Control Plane Conventions
API Routes
File structure: app/api/<resource>/route.ts (collection), app/api/<resource>/[param]/route.ts (item).
Every handler follows this order: auth check → permission check → DB query → response.
export async function GET(request: NextRequest) {
const auth = await getAuthContext(request);
if (!auth) return unauthorized();
if (!auth.canAccessWorkspace(workspaceId)) return forbidden();
const db = getDb();
// raw SQL via better-sqlite3 — no ORM
return NextResponse.json({ success: true, data: result });
}
Pagination (use for all list endpoints):
const page = Math.max(1, parseInt(searchParams.get("page") ?? "1") || 1);
const pageSize = Math.min(
100,
Math.max(1, parseInt(searchParams.get("pageSize") ?? "20") || 20)
);
// response shape:
return NextResponse.json({ items, total, page, pageSize, totalPages });
Error responses: return NextResponse.json({ error: "Message" }, { status: 400 }).
Wrap non-trivial handlers in try/catch and log with console.error("POST /api/... error:", err).
Shared API response types live in lib/api-types.ts (PaginationMeta, ListResponse<T>, AgentSummary, etc.). Import from there before defining local types.
Database
Access the SQLite singleton via getDb() from @/lib/db. Use raw prepared statements:
const db = getDb();
const row = db.prepare("SELECT * FROM agents WHERE did = ?").get(did);
db.prepare("INSERT INTO agents (did, name) VALUES (?, ?)").run(did, name);
Schema changes go directly in createTables() in lib/db.ts — there are no migration files. Add CREATE TABLE IF NOT EXISTS and CREATE INDEX IF NOT EXISTS statements.
Auth
Import from @/lib/auth-utils:
getAuthContext(request?)— returnsAuthContext | null(null = unauthenticated). Always pass therequestparameter so API key authentication works in addition to session auth.unauthorized()/forbidden()— return typedNextResponsewith 401/403- Permission methods:
canAccessWorkspace,canAdminWorkspace,canAccessAgent,canAdminAgent
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.
- 2mo ago First seen · 148 lines · 1,639 tokens per session scan A 385cf22a29d1
VaultysClaw control-plane.instructions.md is an instructions file published in the GitHub repository vaultys/VaultysClaw (84 stars, last pushed 2d ago), licensed MIT. It adds 1,639 tokens to every session, about $0.0066 per session on Opus 5.5. 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 2026-08-30.
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