OpenCompany is an application for creating AI employees that work on assigned jobs in the background on the user's computer, using teams of specialized agents coordinated by a lead agent. People connect these employees to tools such as email, calendars, messages, and code, then define their workflows through a visual editor.
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 zeenie-ai/OpenCompany --skill aws-skillgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/aws-skill)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/aws-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/aws-skill/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/zeenie-ai/opencompany/aws-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/aws-skill.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 | $0.00059 | $0.01629 |
| Opus 5.5 | $0.00024 | $0.00652 |
| Sonnet 5.5 | $0.00012 | $0.00326 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
aws-skill 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 5d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Skill
Wrapper over the official AWS SDK for Python (boto3).
Typed operations for the common EC2 and S3 flows, plus call, which
reaches every operation of every AWS service, and list_operations to
discover them. Results are AWS's own response fields, with timestamps in
ISO 8601 and binary values in base64, as the AWS CLI prints them.
Tool: aws_action
Operations
| Operation | Purpose | Key fields |
|---|---|---|
whoami |
The account and IAM identity behind the saved key | region (optional) |
ec2_instances_list |
One row per instance: id, name, state, type, IPs, zone, launch time | instance_state (default all), limit, region |
ec2_instance_describe |
Every field of one instance | instance_id (required), region |
ec2_instance_start |
Start an instance | instance_id (required), region |
ec2_instance_stop |
Stop an instance | instance_id (required), region |
s3_list |
The buckets, or a bucket's objects under a prefix | bucket (omit to list buckets), prefix, limit |
s3_upload |
Upload a workspace file | bucket, file (required), key (defaults to the file name) |
s3_download |
Save an object into the workspace and get a file reference | bucket, key (required) |
s3_delete |
Delete one object | bucket, key (required) |
call |
Any other AWS API operation | service, api_operation (required), request, region |
list_operations |
Discover services, or one service's operations and parameters | service (optional), search, limit |
region overrides the default region saved with the credential for one
call. EC2 instances are regional: list them in the region you mean.
Response
{
"operation": "ec2_instances_list",
"region": "us-east-1",
"result": [
{ "InstanceId": "i-0abc123", "Name": "web-1", "State": "running", "InstanceType": "t3.micro", "PublicIpAddress": "203.0.113.10" }
],
"count": 1,
"truncated": false
}
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.
- 5d ago First seen · 137 lines · 59 tokens per session scan A b4aae6ce3077
aws-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (1,006 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,629 once invoked, about $0.0002 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 2026-10-11.
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