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 frontier-ai-next/mgarlbot --skill file_operationsgit clone --depth 1 https://github.com/frontier-ai-next/mgarlbotWrote 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/frontier-ai-next/mgarlbot/file_operations)<a href="https://agentmods.dev/skills/frontier-ai-next/mgarlbot/file_operations"><img src="https://agentmods.dev/badge/skills/frontier-ai-next/mgarlbot/file_operations/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/frontier-ai-next/mgarlbot/file_operations"><img src="https://agentmods.dev/badge/skills/frontier-ai-next/mgarlbot/file_operations.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 | $0.00020 | $0.00521 |
| Opus 5 | $0.00010 | $0.00260 |
| Sonnet 5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
file_operations 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 10d 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
File operations
Use shell commands for file and directory work.
Create
Single line:
echo "content" > /path/to/file.txt
Here-doc:
cat > /path/to/file.txt << 'EOF'
Line 1
Line 2
Line 3
EOF
Empty file:
touch /path/to/file.txt
Read
Whole file:
cat /path/to/file.txt
First N lines:
head -n 10 /path/to/file.txt
Last N lines:
tail -n 10 /path/to/file.txt
Write / append
Overwrite:
echo "new content" > /path/to/file.txt
Append:
echo "more content" >> /path/to/file.txt
Directories
Create:
mkdir -p /path/to/new/directory
List:
ls -la /path/to/directory
Copy / move / delete
Copy file:
cp /source/file.txt /destination/file.txt
Copy tree:
cp -r /source/dir /destination/dir
Move or rename:
mv /old/path/file.txt /new/path/file.txt
Delete file:
rm /path/to/file.txt
Delete directory:
rm -r /path/to/directory
Find
By name:
find /search/path -name "*.txt" -maxdepth 3
By content:
grep -r "search text" /search/path --include="*.txt"
Rules
- Use absolute paths or paths relative to the working directory.
- After creating files, verify with
ls -la. - Use
mkdir -pfor nested directories. - Before deleting, confirm with the user what will be removed.
- Use
catfor small files;head/tailfor large ones. - Prefer
cat << 'EOF'(single-quoted EOF) to avoid accidental variable expansion.
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.
- 10d ago First seen · 139 lines · 20 tokens per session scan A 9d1068d08284
file_operations is a skill published in the GitHub repository frontier-ai-next/mgarlbot (17 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 521 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 2026-08-30.
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