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 Friz-zy/ai-capability-registry --skill aws-documentationgit clone --depth 1 https://github.com/Friz-zy/ai-capability-registryWrote 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/friz-zy/ai-capability-registry/aws-documentation)<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/aws-documentation"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/aws-documentation.svg" alt="Measured on agentmods" 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 | $0.00294 |
| Opus 5 | $0.00010 | $0.00147 |
| Sonnet 5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
aws-documentation-mcp 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 4d 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
AWS Documentation
Tools to access AWS documentation, search for content, and get recommendations.
When to use
- Use AWS Documentation only when the task directly involves the relevant service, SaaS product, platform, or technology.
Connection
Docker stdio
{
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/aws-documentation"
]
}
MCP instructions
Docker launch notes
- Launch through Docker stdio with
docker run --rm -i mcp/aws-documentation.
References
- https://github.com/awslabs/mcp
- https://github.com/docker/mcp-registry/tree/main/servers/aws-documentation
Security policy
- Trust:
reviewed - Default mode:
manual_review - Permission default:
manual_review - Authentication:
Unspecified in source metadata - Warning: Default mode is
manual_review. - Warning: Permission default is
manual_review. - Required posture: Complete manual review before connecting or invoking tools; this generated record does not grant approval.
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.
- 4d ago First seen · 59 lines · 20 tokens per session scan A ac283aced592
aws-documentation-mcp is a skill published in the GitHub repository Friz-zy/ai-capability-registry (9 stars, last pushed 7d ago), licensed MIT. It adds 20 tokens to every session and 294 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 2026-09-03.
Other skills, from other repositories
site-config-creation
Create or update the [site] section of stencila.toml for published Stencila sites. Use when asked to configure site domain, title, author, logo, icons, labels, descriptions, socials, featured content, navigation, routes, access, layout presets and regions, glide, search, formats, reviews, uploads, remotes, actions…
ai-seo-v2
AI SEO workflow skill. Use this skill when the user needs Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness and the operator should preserve the upstream…
humanizer-zh
Use when removing AI writing痕迹 from Chinese text to make it sound more natural and human-written.
ultra-realistic-media
Use when uLTRA REALISTIC MEDIA GENERATION - TRAINING SKILL. Use when relevant to this domain.
faceless-youtube
Use when creating and automating faceless YouTube channels using AI-generated scripts, TTS voiceovers, stock footage, and automated publishing workflows with zero on-camera presence.
writing
Use when full-stack content production factory — ad copy, emails, long-form articles, product descriptions. Turn words into revenue with data-driven writing pipelines.