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 skills/rhtevan/agentfs/bash-completion-gennpx skills add rhtevan/agentfs --skill bash-completion-gengit clone --depth 1 https://github.com/rhtevan/agentfsWhat 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 | $0.00015 | $0.02409 |
| Opus 5 | $0.00008 | $0.01205 |
| Sonnet 5 | $0.00003 | $0.00482 |
| Haiku 4.5 | $0.00002 | $0.00241 |
Grade A, and why
bash-completion-gen 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 2d 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bash Completion Generator
Generate a bash completion script for any CLI command by discovering its full subcommand tree and options, then building and validating a completion script.
Input
The user provides a command name. The agent must be able to locate and execute the command.
Step 1 — Locate the Command
Find the command binary:
which <command> || find /usr /home -name '<command>' -type f 2>/dev/null | head -10
If the command is not in PATH, use the full path for all subsequent steps. If the command cannot be found at all, stop and inform the user.
Step 2 — Check for Built-in Completion Generator
Many modern CLI tools can generate their own completion scripts. Try these variants in order — if any succeeds, follow its output/instructions and skip to Step 6 (Install):
<command> completion bash
<command> completions bash
<command> --completion bash
<command> --completions bash
<command> generate-completion bash
If none of these work, proceed to manual discovery.
Step 3 — Discover Subcommands and Options
This is a recursive process. Start with the top-level command and work down the subcommand tree.
3a — Top-level Help
Run the command's help:
<command> --help 2>&1
<command> -h 2>&1
From the output, extract:
- Global options — flags and options that apply to the command itself
(e.g.,
--verbose,--version,-h) - Subcommands — named sub-commands listed in the help output
- Option arguments — which options take values vs. are boolean flags
- Enum values — options with a fixed set of allowed values
(e.g.,
--format table|json|yaml)
3b — Recurse into Each Subcommand
For each discovered subcommand, run:
<command> <subcommand> --help 2>&1
<command> <subcommand> -h 2>&1
Extract the same information: sub-subcommands, options, option arguments, and enum values.
Continue recursing until there are no deeper subcommands. Most CLIs are 2–3 levels deep.
Efficiency tip: Batch multiple subcommand help calls into a single shell invocation to reduce round-trips:
What ships with it
1 file 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.
- 2d ago First seen · 312 lines · 15 tokens per session scan A a7e22e9ac6d7
bash-completion-gen is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 15 tokens to every session and 2,409 once invoked, about $0.0001 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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