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-knowledgegit 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-knowledge)<a href="https://agentmods.dev/skills/friz-zy/ai-capability-registry/aws-knowledge"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/aws-knowledge/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/friz-zy/ai-capability-registry/aws-knowledge"><img src="https://agentmods.dev/badge/skills/friz-zy/ai-capability-registry/aws-knowledge.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 | $0.00013 | $0.00184 |
| Opus 5 | $0.00006 | $0.00092 |
| Sonnet 5 | $0.00003 | $0.00037 |
| Haiku 4.5 | $0.00001 | $0.00018 |
Grade A, and why
aws-knowledge-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 8d 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 Knowledge
Software Development MCP server by AWS.
When to use
- Use AWS Knowledge only when the task directly involves Software Development.
Connection
Hosted endpoint
{
"type": "streamable_http",
"url": "https://knowledge-mcp.global.api.aws"
}
MCP instructions
References
Security policy
- Trust:
trusted - Default mode:
ask_before_write - Permission default:
ask_before_write - Authentication:
Open - Posture: Follow the declared defaults; this generated record does not replace server-specific review.
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.
- 8d ago First seen · 48 lines · 13 tokens per session scan A a0a1d5d51bb5
aws-knowledge-mcp is a skill published in the GitHub repository Friz-zy/ai-capability-registry (9 stars, last pushed 4d ago), licensed MIT. It adds 13 tokens to every session and 184 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.
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