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 Kevin-Liu-01/Agent-Machines --skill agentcoregit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/agentcore)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/agentcore"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/agentcore/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/kevin-liu-01/agent-machines/agentcore"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/agentcore.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 | $0.00089 | $0.00936 |
| Opus 5.5 | $0.00036 | $0.00374 |
| Sonnet 5.5 | $0.00018 | $0.00187 |
| Haiku 4.5 | $0.00009 | $0.00094 |
Grade A, and why
agentcore 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.
This is a copy
100% identical to agentcore — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Bedrock AgentCore
Run agent-browser on cloud browser sessions hosted by AWS Bedrock AgentCore. All standard agent-browser commands work identically; the only difference is where the browser runs.
Setup
Credentials are resolved automatically:
- Environment variables (
AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY, optionallyAWS_SESSION_TOKEN) - AWS CLI fallback (
aws configure export-credentials), which supports SSO, IAM roles, and named profiles
No additional setup is needed if the user already has working AWS credentials.
Core Workflow
# Open a page on an AgentCore cloud browser
agent-browser -p agentcore open https://example.com
# Everything else is the same as local Chrome
agent-browser snapshot -i
agent-browser click @e1
agent-browser screenshot page.png
agent-browser close
Environment Variables
| Variable | Description | Default |
|---|---|---|
AGENTCORE_REGION |
AWS region | us-east-1 |
AGENTCORE_BROWSER_ID |
Browser identifier | aws.browser.v1 |
AGENTCORE_PROFILE_ID |
Persistent browser profile (cookies, localStorage) | (none) |
AGENTCORE_SESSION_TIMEOUT |
Session timeout in seconds | 3600 |
AWS_PROFILE |
AWS CLI profile for credential resolution | default |
Persistent Profiles
Use AGENTCORE_PROFILE_ID to persist browser state across sessions. This is useful for maintaining login sessions:
# First run: log in
AGENTCORE_PROFILE_ID=my-app agent-browser -p agentcore open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser close
# Future runs: already authenticated
AGENTCORE_PROFILE_ID=my-app agent-browser -p agentcore open https://app.example.com/dashboard
Live View
When a session starts, AgentCore prints a Live View URL to stderr. Open it in a browser to watch the session in real time from the AWS Console:
Session: abc123-def456
Live View: https://us-east-1.console.aws.amazon.com/bedrock-agentcore/browser/aws.browser.v1/session/abc123-def456#
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 · 116 lines · 89 tokens per session scan A f616b6dbce7c
agentcore is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (30 stars, last pushed 3d ago), licensed MIT. It adds 89 tokens to every session and 936 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agentcore, differing in 0 lines, and is treated as a copy.
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