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.
git clone --depth 1 https://github.com/8NobleTruths/sabbaWrote 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/8nobletruths/sabba/vet-skill)<a href="https://agentmods.dev/commands/8nobletruths/sabba/vet-skill"><img src="https://agentmods.dev/badge/commands/8nobletruths/sabba/vet-skill.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 5.1 | $0.00014 | $0.00117 |
| Opus 5 | $0.00007 | $0.00059 |
| Sonnet 5 | $0.00003 | $0.00023 |
| Haiku 4.5 | $0.00001 | $0.00012 |
Grade A, and why
vet-skill 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 8d 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
Before installing the skill or plugin at $ARGUMENTS, vet it.
Call sabba security_scan on that path. It runs the skill in a sandboxed home and cwd and
reports exactly what it did: credential-looking file reads, outbound network, subprocesses.
Report the risk level (clean / suspicious / dangerous) and the observed behaviors. Do not install a skill that reads credentials or opens the network unless you understand and accept exactly why it does so.
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.
- 8d ago First seen · 12 lines · 14 tokens per session scan A 039c6c43027c
vet-skill is a command published in the GitHub repository 8NobleTruths/sabba (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 117 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
security-semgrep-setup
Check if Semgrep is installed and working. If not, install it using the best available method. Then log in to Semgrep Pro, enable the Pro engine, and run a local Pro scan in the current directory.
sessions
List all Claude Code sessions across all projects, sorted by most recent. Show project context, date, and the exact resume command for each session.
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
commit
A command that examines staged Git changes and proposes a commit message using the Conventional Commits format, such as feat, fix, or docs. Git is a tool for tracking changes to code.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].
recall
Search past tool-call observations with BM25 ranking to answer "have I seen this before?" before re-deriving a fix or repeating a mistake. Enforces Law 1 (Research Before Executing).