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 ashish7802/awesome-api-skills --skill aws-s3git clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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/ashish7802/awesome-api-skills/aws-s3)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/aws-s3"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/aws-s3/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/ashish7802/awesome-api-skills/aws-s3"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/aws-s3.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 | $0.00000 | $0.00522 |
| Opus 5 | $0.00000 | $0.00261 |
| Sonnet 5 | $0.00000 | $0.00104 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
aws-s3 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS S3 API Skill
Overview
Amazon Simple Storage Service (S3) provides highly scalable object storage. This skill details the AWS SDK v3 for Node.js.
Installation
npm install @aws-sdk/client-s3 @aws-sdk/s3-request-presigner
pip install boto3
Authentication
Authenticate via IAM Roles (in EC2/Lambda) or Access Keys (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY). Avoid hardcoded credentials.
Core Concepts
- Bucket: The root container for objects.
- Object: A file and its metadata.
- Presigned URL: A temporary URL granting access to upload/download a specific object.
Common Workflows
- Instantiate
S3Client. - Construct a
PutObjectCommand. - Send the command to upload a stream or buffer.
Error Handling
Catch S3ServiceException. Common errors include NoSuchBucket and AccessDenied. Ensure bucket policies and IAM permissions align.
Security
Block Public Access at the account level. Always use Presigned URLs for client-side uploads rather than routing large files through your API server.
Rate Limits
S3 automatically scales, but standard performance supports 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per prefix.
Best Practices
Use Multipart Upload for files larger than 100MB. Use random prefixes (like UUIDs) in object keys to avoid thermal hotspots in S3 partitions.
Troubleshooting
If a presigned URL fails with SignatureDoesNotMatch, ensure the HTTP method and headers exactly match what was requested during generation.
References
Why use this skill
Use this when your agent works with aws-s3 — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
Production checklist
- Secrets in environment variables, not source code
- Error handling and logging in place
- Rate limits and timeouts configured
What ships with it
5 files 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.
- 10d ago First seen · 62 lines · 0 tokens per session scan A 8a8f94a89e34
aws-s3 is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 522 tokens. 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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