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 yoeld-wix/quiet-bash --skill minimal-changegit clone --depth 1 https://github.com/yoeld-wix/quiet-bashWrote 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/yoeld-wix/quiet-bash/minimal-change)<a href="https://agentmods.dev/skills/yoeld-wix/quiet-bash/minimal-change"><img src="https://agentmods.dev/badge/skills/yoeld-wix/quiet-bash/minimal-change/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/yoeld-wix/quiet-bash/minimal-change"><img src="https://agentmods.dev/badge/skills/yoeld-wix/quiet-bash/minimal-change.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 | $0.00074 | $0.00528 |
| Opus 5 | $0.00037 | $0.00264 |
| Sonnet 5 | $0.00015 | $0.00106 |
| Haiku 4.5 | $0.00007 | $0.00053 |
Grade A, and why
minimal-change 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.
How it starts
The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write the Smallest Correct Change
quiet-bash's hooks cut the input you re-send every turn. This is the other half: the output the model generates — billed ~3–5× input and produced one token at a time, so it drives both cost and latency. Less code generated means a cheaper, faster turn — and less to read, test, and maintain afterward.
The target is the smallest change that fully solves the problem you actually understand. Small is not the goal by itself: a tiny diff in the wrong place, or a tiny diff that's subtly broken, costs far more than it saves.
Understand before you shrink
Read the request and the code it touches, and follow the real flow, before picking an approach. Minimizing a change you haven't understood is how the second bug ships.
Reach for the least first
Go down this list only until something fully solves it:
- Don't build it if it isn't needed yet — skip speculative structure and abstractions nobody asked for.
- Reuse a helper or pattern already in this repo before writing a new one.
- Use the standard library or platform before reaching for a dependency.
- Use a dependency that's already installed before adding another.
- Then write the fewest lines that work — prefer deleting to adding, boring to clever, fewer files to more.
For a bug, fix the shared root cause once rather than patching each caller.
The no-regression floor (never shrink these)
Cutting code must never cut correctness. Always keep: input validation at trust boundaries, error handling that prevents data loss, security, accessibility, and anything explicitly requested. Leave one small runnable check behind for non-trivial logic. If you knowingly take a shortcut, name its limit in a one-line comment.
Inspired by the open-source ponytail project (MIT), which delivers this idea as a dedicated cross-agent tool. If you want it always-on across every agent, install ponytail; this skill is quiet-bash's lightweight, in-repo take.
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 · 45 lines · 74 tokens per session scan A 0721d6768648
minimal-change is a skill published in the GitHub repository yoeld-wix/quiet-bash (5 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 528 once invoked, about $0.0004 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.
Other skills, from other repositories
lithium-kb
Generates, maintains, and visualizes a structured Markdown knowledge base (.lithium-kb/{architecture,debug,tasks,features}) with an interactive Neural Network graph, auto-watch mode, custom agent directives (.agentrules), and MCP server integration for Pi, Claude, Codex, Cursor, and other coding agents. Triggers…
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
writing
A writing guide for turning verified facts and calculations into finished text for a specific audience. It follows the requested language, structure, and length.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.