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 heyAyushh/stacc --skill bungit clone --depth 1 https://github.com/heyAyushh/staccWrote 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/heyayushh/stacc/bun)<a href="https://agentmods.dev/skills/heyayushh/stacc/bun"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/bun/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/heyayushh/stacc/bun"><img src="https://agentmods.dev/badge/skills/heyayushh/stacc/bun.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 | $0.00049 | $0.00304 |
| Opus 5 | $0.00024 | $0.00152 |
| Sonnet 5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
bun 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.
What it actually says
Bun Stack Skill
Default guidance
Apply the rule files in this folder as the source of truth for Bun and PostgreSQL usage.
Workflow (use this order)
- Clarify scope: service/API/script/task runner.
- Prefer Bun-native tooling (
bun install,bun run,bun test,bun build). - Use Bun-native APIs (
Bun.serve,Bun.file, SQLite/Redis) where applicable. - Design module boundaries and error handling early.
- Add tests with
bun testand include coverage for edge cases. - Validate deployment target and build output.
Review Checklist
- Bun-native tooling used; no unnecessary Node tooling.
- Modern JS/TS patterns (ESM, async/await, private fields) applied.
- Error handling is centralized and user-facing errors are clear.
- IO paths use Bun APIs for performance.
- Tests present and runnable with
bun test.
Local Resources
bun.mdcfor Bun runtime, tooling, and modern JS/TS backend best practices.postgresql.mdcfor PostgreSQL SQL conventions, performance, and anti-patterns.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 49 tokens per session scan A d6f5612eb5eb
bun is a skill published in the GitHub repository heyAyushh/stacc (3 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 304 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 2026-09-03.
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