Borrowing it
Nothing to install: this file belongs to radthenone/ai-instruction-kit-mcp. 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/radthenone/ai-instruction-kit-mcp/master/.claude/commands/subagent-backend.mdgit clone --depth 1 https://github.com/radthenone/ai-instruction-kit-mcpWrote 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/commands/radthenone/ai-instruction-kit-mcp/subagent-backend)<a href="https://agentmods.dev/commands/radthenone/ai-instruction-kit-mcp/subagent-backend"><img src="https://agentmods.dev/badge/commands/radthenone/ai-instruction-kit-mcp/subagent-backend/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/commands/radthenone/ai-instruction-kit-mcp/subagent-backend"><img src="https://agentmods.dev/badge/commands/radthenone/ai-instruction-kit-mcp/subagent-backend.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 | $0.00043 | $0.00370 |
| Opus 5 | $0.00022 | $0.00185 |
| Sonnet 5 | $0.00009 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
subagent-backend 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 9d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 9d ago First seen · 34 lines · 43 tokens per session scan A a85d99c21c57
subagent-backend is a command published in the GitHub repository radthenone/ai-instruction-kit-mcp (0 stars, last pushed 5d ago), with no licence file. It adds 43 tokens to every session and 370 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.
Other commands, from other repositories
evaluate-connector
Evaluate a Fivetran connector for correctness, SDK compliance, security, and reliability.
connector-review
Review DataHub connector code for standards compliance and quality.
review-rust
Focused Rust/Tauri backend review with rust-backend-architect (Primary Owner).
api-style-review
Review SAP API style compliance for REST, OData, OpenAPI, SDK naming, documentation, and lifecycle readiness.
fec-doc-sync
Sync README, docs, environment variables, scripts, API/routing/component descriptions and deployment instructions from code and project sources of truth.
document
On-demand documentation generation — API docs, architecture updates, user guides.