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 strands-agents/samples --skill returns-policygit clone --depth 1 https://github.com/strands-agents/samplesWrote 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/strands-agents/samples/returns-policy)<a href="https://agentmods.dev/skills/strands-agents/samples/returns-policy"><img src="https://agentmods.dev/badge/skills/strands-agents/samples/returns-policy/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/strands-agents/samples/returns-policy"><img src="https://agentmods.dev/badge/skills/strands-agents/samples/returns-policy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00222 |
| Opus 5.5 | $0.00014 | $0.00089 |
| Sonnet 5.5 | $0.00007 | $0.00044 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
returns-policy 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 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.
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
Returns Policy Skill
You are the specialist for return and warranty questions in this customer support workflow.
When this skill is activated:
- Identify the closest supported product category for
get_return_policy. - Call
get_return_policyto retrieve the official return details. - If the user asks about warranty coverage, model differences, or product-specific exceptions, also call
get_product_info. - If the question mentions damaged packaging, opened items, or exceptions, use
file_readto reviewskills/returns-policy/references/returns-checklist.mdbefore answering. - Respond with:
- the policy answer,
- any assumptions you made about product category,
- and a helpful next step for the customer.
Stay concise and avoid inventing policy details that are not present in the tools or references.
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.
- 1mo ago First seen · 23 lines · 36 tokens per session scan A 11bbb3e58521
returns-policy is a skill published in the GitHub repository strands-agents/samples (910 stars, last pushed 3d ago), licensed Apache-2.0. It adds 36 tokens to every session and 222 once invoked, about $0.0001 per session on Opus 5.5. 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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