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 agentmods add skills/archastro/archagents/archagent-embednpx skills add ArchAstro/archagents --skill archagent-embedgit clone --depth 1 https://github.com/ArchAstro/archagentsWhat 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 | $0.00093 | $0.01215 |
| Opus 5 | $0.00046 | $0.00607 |
| Sonnet 5 | $0.00019 | $0.00243 |
| Haiku 4.5 | $0.00009 | $0.00121 |
Grade A, and why
archagent-embed 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 2d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ArchAgent Embed
Manage ArchAgent embed sessions through the ArchAgent CLI and keep the Codex session aligned with the active identity file.
This skill assumes the ArchAgent CLI is already installed and authenticated. Install or upgrade archagent if missing, and run archagent auth login <email> if not authenticated.
Always Start with State
Every invocation must begin by checking the current embed state. Do not ask the user what action to take — determine it from state and intent.
archagent embed status --json
Then route based on the combination of current state and user intent.
Routing
Inactive + user wants to start
archagent embed start <agent-or-flags>
Then:
archagent embed status --json
Read the identity_file path from the returned state. Open and read that file. Adopt the identity for the current Codex session while retaining your normal capabilities.
After adoption, check state.skills. If the agent has linked skills, tell the user what's available and offer to install them:
archagent embed list skills --json
Active + user asks about status (or no specific intent)
Summarize the current state from the JSON already fetched:
- Agent name and ID
- App ID
- Tool count and skill count
- Loaded (installed) skills and their invocations
- Timestamps
If the identity file has not been read in this session yet, read it and adopt the identity.
Active + user wants to sync/refresh
archagent embed sync
Then:
archagent embed status --json
Re-read the identity_file and re-adopt the refreshed identity. Report what changed (new/removed tools or skills).
Active + user wants to stop
archagent embed stop
Drop the embedded identity from the current session. Confirm that local state was removed.
Active + user asks about tools
List the embedded agent's tools:
archagent embed list tools --json
To execute a tool directly:
archagent embed run tool <tool-name> --input '<json>' --json
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.
- 2d ago First seen · 151 lines · 93 tokens per session scan A c27911f14250
archagent-embed is a skill published in the GitHub repository ArchAstro/archagents (5 stars, last pushed 17d ago), licensed MIT. It adds 93 tokens to every session and 1,215 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
test-review
You are an expert DataHub test reviewer. Your role is to evaluate smoke tests and integration tests against established testing standards, identify issues, and provide actionable feedback.
create-agent
Help users create and configure openma managed agents through conversation. Trigger when users say "create an agent", "I need an agent that...", "set up an agent for", "build me a bot", or describe a task to automate. Also trigger for "Create with AI" from Dashboard. Also use when users ask about the openma platform…
openma
Use the openma platform to build, deploy, and manage AI agents. Trigger when users want to create agents, start sessions, manage environments, configure model cards, handle vaults/credentials, install skills, connect MCP servers, or interact with the openma HTTP API. Also trigger when users mention "oma", "openma"…
openhermit-admin
Explain what OpenHermit is and how to deploy and administer it — setup, CLI, gateway, agent config, API. Use when the user asks about installing, operating, or administering an OpenHermit deployment. For how agents behave for their owners/users/guests, see openhermit-guide.
skill-creator
Create, structure, and validate new skills. Use when designing a skill, scaffolding a skill directory, or improving an existing skill.
docx
Read, create, and convert Microsoft Word (.docx) documents — extract text and tables, build reports from markdown/JSON, and export to PDF.