Borrowing it
Nothing to install: this file belongs to diillson/chatcli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/diillson/chatcli/main/.agent/skills/bash-linux/SKILL.mdgit clone --depth 1 https://github.com/diillson/chatcliWrote 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/diillson/chatcli/bash-linux)<a href="https://agentmods.dev/skills/diillson/chatcli/bash-linux"><img src="https://agentmods.dev/badge/skills/diillson/chatcli/bash-linux/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/diillson/chatcli/bash-linux"><img src="https://agentmods.dev/badge/skills/diillson/chatcli/bash-linux.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 | $0.00029 | $0.01296 |
| Opus 5.5 | $0.00012 | $0.00518 |
| Sonnet 5.5 | $0.00006 | $0.00259 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade B, and why
bash-linux scanned grade B with 2 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 1mo 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
| POST JSON | `curl -X POST -H "Content-Type: application/json" -d '{"key":"value"}' URL` | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Download | `curl -O https://example.com/file` | This is a copy
92% identical to bash-linux — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bash Linux Patterns
Essential patterns for Bash on Linux/macOS.
1. Operator Syntax
Chaining Commands
| Operator | Meaning | Example |
|---|---|---|
; |
Run sequentially | cmd1; cmd2 |
&& |
Run if previous succeeded | npm install && npm run dev |
|| |
Run if previous failed | npm test || echo "Tests failed" |
| |
Pipe output | ls | grep ".js" |
2. File Operations
Essential Commands
| Task | Command |
|---|---|
| List all | ls -la |
| Find files | find . -name "*.js" -type f |
| File content | cat file.txt |
| First N lines | head -n 20 file.txt |
| Last N lines | tail -n 20 file.txt |
| Follow log | tail -f log.txt |
| Search in files | grep -r "pattern" --include="*.js" |
| File size | du -sh * |
| Disk usage | df -h |
3. Process Management
| Task | Command |
|---|---|
| List processes | ps aux |
| Find by name | ps aux | grep node |
| Kill by PID | kill -9 <PID> |
| Find port user | lsof -i :3000 |
| Kill port | kill -9 $(lsof -t -i :3000) |
| Background | npm run dev & |
| Jobs | jobs -l |
| Bring to front | fg %1 |
4. Text Processing
Core Tools
| Tool | Purpose | Example |
|---|---|---|
grep |
Search | grep -rn "TODO" src/ |
sed |
Replace | sed -i 's/old/new/g' file.txt |
awk |
Extract columns | awk '{print $1}' file.txt |
cut |
Cut fields | cut -d',' -f1 data.csv |
sort |
Sort lines | sort -u file.txt |
uniq |
Unique lines | sort file.txt | uniq -c |
wc |
Count | wc -l file.txt |
5. Environment Variables
| Task | Command |
|---|---|
| View all | env or printenv |
| View one | echo $PATH |
| Set temporary | export VAR="value" |
| Set in script | VAR="value" command |
| Add to PATH | export PATH="$PATH:/new/path" |
6. Network
| Task | Command |
|---|---|
| Download | curl -O https://example.com/file |
| API request | curl -X GET https://api.example.com |
| POST JSON | curl -X POST -H "Content-Type: application/json" -d '{"key":"value"}' URL |
| Check port | nc -zv localhost 3000 |
| Network info | ifconfig or ip addr |
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.
- 1mo ago First seen · 200 lines · 29 tokens per session scan B 17c0a0d75bf2
bash-linux is a skill published in the GitHub repository diillson/chatcli (93 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 1,296 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). It is 92% identical to bash-linux, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
agent-state-bar
A design guide for an agent status bar: a short, automatically updated summary of progress, remaining tasks, tool counts, errors, and system state placed near the latest model input.
context-engineering
A guide to organizing the instructions and information an AI agent receives at each step. It covers system prompts, tool descriptions, conversation history, on-demand skills, and protections against unsafe outside content.
kv-cache-design
A guide to arranging an AI agent's conversation so previously processed text can be reused. A KV cache stores intermediate results for earlier tokens, while a prompt cache reuses a stable beginning across requests.
loop-engineering
A guide to building reliable loops for AI agents that plan, act, check their work, and continue until a task is truly complete. It includes independent verification and a proposer-reviewer pattern in which one agent's work is checked using outside evidence.
reward-design
A guide to defining the scores that an AI agent receives during trial-and-error training. It covers checks based on rules, human preferences, or another model, and distinguishes rewarding the final result from rewarding the steps taken.
pptx
A guide for turning a paper, outline, or structured text into a PowerPoint presentation. It covers an 8–12-slide structure, concise slide points, and generation of a .pptx file.