What is volume-converter?

A small tool for converting gallons to litres or litres to gallons.

Use it when a task requires converting a volume between gallons and litres.

It avoids manual calculations and helps prevent unit-conversion errors.

volume-converter — Skill by microsoft

Install

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.

agentmods

npx agentmods add skills/microsoft/agent-framework/volume-converter

Any agent

npx skills add microsoft/agent-framework --skill volume-converter

Clone the repo

git clone --depth 1 https://github.com/microsoft/agent-framework

Made for: Claude Code, Codex.

Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 129 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00014	$0.00129
Opus 5	$0.00007	$0.00064
Sonnet 5	$0.00003	$0.00026
Haiku 4.5	$0.00001	$0.00013

Measured 2d ago against content hash 4f7881be19e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

volume-converter 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/convert.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

volume-converter — 100% identical, 0 lines differ

python/samples/02-agents/skills/skill_filtering/skills/volume-converter/SKILL.md · 18 lines

What it actually says

Usage

When the user requests a volume conversion:

Run the scripts/convert.py script with --value <number> --factor <factor>
Use factor 3.78541 for gallons → liters, or 0.264172 for liters → gallons
Present the converted value clearly with both units

Files

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.

scripts/convert.py 476 B runs code

Changes

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 · 18 lines · 14 tokens per session scan A 4f7881be19e0

Subscribe to this mod's changes

volume-converter is a skill published in the GitHub repository microsoft/agent-framework (13,222 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 129 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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