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 commands/rogue-dev-studio/ai-agents-rogue/start-featuregit clone --depth 1 https://github.com/rogue-dev-studio/ai-agents-rogueWrote 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/rogue-dev-studio/ai-agents-rogue/start-feature)<a href="https://agentmods.dev/commands/rogue-dev-studio/ai-agents-rogue/start-feature"><img src="https://agentmods.dev/badge/commands/rogue-dev-studio/ai-agents-rogue/start-feature.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 | $0.00000 | $0.00264 |
| Opus 5 | $0.00000 | $0.00132 |
| Sonnet 5 | $0.00000 | $0.00053 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
start-feature 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 6d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 6d ago First seen · 16 lines · 0 tokens per session scan A 67823ab19faf
start-feature is a command published in the GitHub repository rogue-dev-studio/ai-agents-rogue (2 stars, last pushed 3d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 264 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.
Other commands, from other repositories
arena
The Arena — GOD builds, EVIL attacks, repeat until the attacker gives up. The adversarial loop with scored findings, verification, convergence detection, and hard budget stops.
devil-mode
Parallel adversarial sweep — fires prompt-injection-hunter + supply-chain-auditor + secret-hunter + backdoor-hunter simultaneously. The full attacker-mindset audit in one command.
god-mode
GOD mode — the constructive crew. Recalls past solutions, designs, builds test-first, self-critiques, hardens, and proves the work with a command that actually runs.
refactor-clean
Remove dead code, duplicates, and tech debt with safe automated cleanup.
refactor-sprint
Parallel refactor sprint — fires refactor-cleaner + code-simplifier + type-design-analyzer + tdd-guide simultaneously. Full cleanup in one pass.
test-coverage
Analyze test coverage and identify the highest-value gaps to fill.