ConnectOnion is an open-source, template-first toolkit for building, debugging, deploying, and operating AI agents. Developers use its command-line tools and Python runtime to create agents, add tools, connect services, deploy them, and make them callable by other agents, while the catalogue entries are related agents, skills, and instructions.
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 agents/openonion/connectonion/agent-prompt-bash-command-description-writergit clone --depth 1 https://github.com/openonion/connectonionWrote 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/agents/openonion/connectonion/agent-prompt-bash-command-description-writer)<a href="https://agentmods.dev/agents/openonion/connectonion/agent-prompt-bash-command-description-writer"><img src="https://agentmods.dev/badge/agents/openonion/connectonion/agent-prompt-bash-command-description-writer.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 | $0.00022 | $0.00220 |
| Opus 5 | $0.00011 | $0.00110 |
| Sonnet 5 | $0.00004 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade C, and why
Agent Prompt: Bash command description writer scanned grade C 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 5d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- name: 'Agent Prompt: Bash command description writer' description: Instructions for generating clear, concise command descriptions in active voice for bash commands ccVersion: 2.1.3 --> Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl -s url | jq '.data[]' → "Fetch JSON from URL and extract data array elements" What it actually says
Clear, concise description of what this command does in active voice. Never use words like "complex" or "risk" in the description - just describe what it does.
For simple commands (git, npm, standard CLI tools), keep it brief (5-10 words):
- ls → "List files in current directory"
- git status → "Show working tree status"
- npm install → "Install package dependencies"
For commands that are harder to parse at a glance (piped commands, obscure flags, etc.), add enough context to clarify what it does:
- find . -name "*.tmp" -exec rm {} ; → "Find and delete all .tmp files recursively"
- git reset --hard origin/main → "Discard all local changes and match remote main"
- curl -s url | jq '.data[]' → "Fetch JSON from URL and extract data array elements"
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.
- 5d ago First seen · 17 lines · 0 tokens per session scan C d5b30ade5078
Agent Prompt: Bash command description writer is an agent published in the GitHub repository openonion/connectonion (1,481 stars, last pushed today), licensed Apache-2.0. It adds 22 tokens to every session and 220 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (hidden instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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