OpenAgent is a self-hostable personal AI assistant that combines language models, document-based retrieval, and autonomous agent loops. It lets people connect model providers and their own knowledge bases, then have agents browse the web, run code, use computers, and call MCP-compatible tools.
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 the-open-agent/openagent --skill mcportergit clone --depth 1 https://github.com/the-open-agent/openagentWrote 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/the-open-agent/openagent/mcporter)<a href="https://agentmods.dev/skills/the-open-agent/openagent/mcporter"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/mcporter/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/the-open-agent/openagent/mcporter"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/mcporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 39 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00041 | $0.00444 |
| Opus 5.5 | $0.00016 | $0.00178 |
| Sonnet 5.5 | $0.00008 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
mcporter 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
84% identical to mcporter — 2 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.
What it actually says
mcporter
Use mcporter to work with MCP servers directly.
Quick start
mcporter listmcporter list <server> --schemamcporter call <server.tool> key=value
Call tools
- Selector:
mcporter call linear.list_issues team=ENG limit:5 - Function syntax:
mcporter call "linear.create_issue(title: \"Bug\")" - Full URL:
mcporter call https://api.example.com/mcp.fetch url:https://example.com - Stdio:
mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com - JSON payload:
mcporter call <server.tool> --args '{"limit":5}'
Auth + config
- OAuth:
mcporter auth <server | url> [--reset] - Config:
mcporter config list|get|add|remove|import|login|logout
Daemon
mcporter daemon start|status|stop|restart
Codegen
- CLI:
mcporter generate-cli --server <name>or--command <url> - Inspect:
mcporter inspect-cli <path> [--json] - TS:
mcporter emit-ts <server> --mode client|types
Notes
- Config default:
./config/mcporter.json(override with--config). - Prefer
--output jsonfor machine-readable results.
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 · 62 lines · 41 tokens per session scan A a9a860f7453f
mcporter is a skill published in the GitHub repository the-open-agent/openagent (5,698 stars, last pushed yesterday), licensed Apache-2.0. It adds 41 tokens to every session and 444 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to mcporter, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
documents
Create, read, edit, review, comment on, sanitize, render, and validate Microsoft Word DOCX documents. Use whenever a DOCX or Word document is a primary input or deliverable, including reports, proposals, forms, templates, tracked revisions, comments, tables, images, headers, footers, and style-preserving edits.
Read, create, inspect, merge, split, rotate, encrypt, fill, and validate PDF files. Use when the user asks to work with a PDF or convert supported Markdown into a polished PDF in AstrBot.
spreadsheets
Create, read, edit, analyze, convert, chart, and validate spreadsheet files including XLSX, XLSM, XLS, CSV, and TSV. Use when a spreadsheet is a primary input or deliverable, or when tabular data must remain editable and auditable in workbook form.
skill-creator
Create, revise, and validate AstrBot Skills built around SKILL.md instruction bundles. Use when the user asks to create, scaffold, improve, package, or review a Skill for an AstrBot workspace, local installation, or plugin.
session-rag-eval
Run and debug Chatbox session attachment RAG model evaluation with synthetic and real long-file fixtures.
codebase-classification
Classify codebases before modification to choose appropriate development approach.