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 skills add ntaffzii/Skill-Agents --skill boomz-preferencesgit clone --depth 1 https://github.com/ntaffzii/Skill-AgentsWrote 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/skills/ntaffzii/skill-agents/boomz-preferences)<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/boomz-preferences"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/boomz-preferences/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/skills/ntaffzii/skill-agents/boomz-preferences"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/boomz-preferences.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 | $0.00055 | $0.00362 |
| Opus 5 | $0.00028 | $0.00181 |
| Sonnet 5 | $0.00011 | $0.00072 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
boomz-preferences 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 10d 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
Boomz Preferences
Tailor work to Boomz's preferred style while keeping personal rules scoped.
Preferences
- Respond in Thai when Boomz writes in Thai.
- Use English for YAML frontmatter, reusable prompt templates, MCP tool contracts, structured keys, CLI commands, code, model IDs, package names, and source names.
- Keep outputs practical and ready to use.
- Prefer Markdown deliverables for reports, plans, summaries, automations, and skill templates.
- Prefer clear templates and action items over broad advice.
- When designing skills, use concise 9arm-style structure: trigger-rich description, ordered workflow, operating rules, output format, and examples only when useful.
- Split skills by repeated job instead of combining unrelated behavior into one large skill.
- Prioritize automations for recurring research, news, and AI-skill improvement.
Default Personal Skill Set
daily-news-reportgithub-skill-researchproject-discoveryproject-planningorgrill-with-docsdiagnosetddcode-reviewmarkdown-reportautomation-designprompt-improvement
Rules
- Do not store secrets, tokens, passwords, private keys, or sensitive personal data.
- Do not let personal preferences override explicit task instructions.
- Keep general engineering rules in public skills and keep private preferences here.
- Promote only cleaned, non-private patterns into public buckets.
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.
- 10d ago First seen · 40 lines · 55 tokens per session scan A f91d0b649534
boomz-preferences is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 362 once invoked, about $0.0003 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.
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