AIHelms is an enterprise platform for managing AI resources through a unified gateway, including model access, identities, budgets, usage costs, security reviews, MCP tools, and agent skills. Organizations use it to control AI spending, govern access, audit activity, and measure usage and value across teams. Its catalogue add-ons support operating and administering the platform’s AI management workflows.
Borrowing it
Nothing to install: this file belongs to beizhu-1209/AIHelms. 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/beizhu-1209/AIHelms/main/.claude/commands/dev.mdgit clone --depth 1 https://github.com/beizhu-1209/AIHelmsWrote 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/beizhu-1209/aihelms/dev)<a href="https://agentmods.dev/commands/beizhu-1209/aihelms/dev"><img src="https://agentmods.dev/badge/commands/beizhu-1209/aihelms/dev/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/beizhu-1209/aihelms/dev"><img src="https://agentmods.dev/badge/commands/beizhu-1209/aihelms/dev.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 | $0.00000 | $0.00638 |
| Opus 5.5 | $0.00000 | $0.00255 |
| Sonnet 5.5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade C, and why
dev scanned grade C with 2 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf node_modules packages/*/node_modules Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Verify: `curl http://localhost:8000/api/health` returns `{"status":"ok"}` The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 103 lines · 0 tokens per session scan C 77dce3ca12b9
dev is a command published in the GitHub repository beizhu-1209/AIHelms (1,028 stars, last pushed 3d ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 638 tokens. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
review
Review a diff for bugs and style.
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
requirement-review
A command that has several specialized agents review a requirements document and produce a revised version through a controlled workflow.
rclone_config_dump
Dump the config file as JSON.
review
Review a change against the rule-driven modern C++ contract with bounded discovery.
multi-workflow
Run a full multi-model development workflow with research, planning, execution, optimization, and review.