Official agent skill

Argus Runtime Orchestration

by microsoft in microsoft/ArgusAgent

Portable outer-operator procedure for durable Argus missions across five hosts.

OfficialMITAuto-check passedAgent Workflows

Install Argus Runtime Orchestration

skills CLI
$ npx skills add microsoft/ArgusAgent --skill argus-runtime-orchestration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microsoft/ArgusAgent argus-runtime-orchestration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microsoft/ArgusAgent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/agent-skills/argus-runtime-orchestration .claude/skills/argus-runtime-orchestration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
argus-runtime-orchestration
GitHub stars
135
Token cost
~3.6k tokens
SKILL.md length
1,814 words
Files
8 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Portable outer-operator procedure for durable Argus missions across five hosts.

  • Works in 2 steps: The outer operator: OpenClaw, Hermes… → Argus: the durable supervised system…
  • Agent Workflows work in your project
  • SKILL.md covers Known limitations, Two-party operating model and…, Core operating procedure and Capability fallbacks, plus 1 more section
  • Needs ARGUS_SKILL_WEB_TOKEN

What it does

Argus Runtime Orchestration is an agent skill from microsoft/ArgusAgent, published by the product's own GitHub organization. Portable outer-operator procedure for durable Argus missions across five hosts.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/adapters/claude-code.md`, `references/adapters/codex-cli.md` and `references/adapters/copilot-cli.md`).

It sits in Agent Workflows. The repository describes itself as: A persistent, reviewed multi-agent runtime for long-horizon research and engineering. The licence is MIT.

When your agent uses it

  • Agent Workflows work in your project

Example prompts

  • “/argus-runtime-orchestration”

Requirements

  • A credential in ARGUS_SKILL_WEB_TOKEN

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. The outer operator: OpenClaw, Hermes Agent, Claude Code, Codex CLI, Copilot CLI, Cursor CLI, or another shell-capable agent following this…
  2. Argus: the durable supervised system that plans, executes, reviews, persists state, surfaces questions, and produces evidence and artifacts.

What it can do on your machine

Read from SKILL.md and the folder at commit 746f76b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and powershell).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ARGUS_SKILL_WEB_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Argus Runtime Orchestration loads about 3.6k tokens when it runs, and up to ~7.4k if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 1,814 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/ArgusAgent at commit 746f76b, republished under its MIT licence (© microsoft). 1,814 words, ~3,624 tokens.

Download SKILL.mdSave it as .claude/skills/argus-runtime-orchestration/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
argus-runtime-orchestration
description
Portable outer-operator procedure for durable Argus missions across five hosts.

Argus runtime orchestration

Use when a task benefits from durable state, artifacts, experiments, background execution, independent review, pause/resume, or continuation beyond one model turn. Do not use for a quick answer, simple read-only inspection, or a small operation the current host can safely finish and verify directly.

Known limitations

  • Argus does not provide a universally portable push/callback from Needs you into every outer operator. The outer operator must actively inspect compact Argus status/output at meaningful boundaries. Intervention detection may not be real-time when the host cannot maintain durable monitoring, and this skill forbids claiming unattended supervision in that case.
  • The Hermes Agent and Claude Code adapters are currently documentation-validated rather than locally execution-tested on this host.
  • Some Copilot CLI skill commands in current documentation are absent from the locally tested 1.0.39 build, so feature detection is required.

Two-party operating model and configuration

There are exactly two operational parties:

  1. The outer operator: OpenClaw, Hermes Agent, Claude Code, Codex CLI, Copilot CLI, Cursor CLI, or another shell-capable agent following this skill. It stages the mission, launches and observes Argus, handles operator questions within delegated authority, verifies artifacts, and reports compactly.
  2. Argus: the durable supervised system that plans, executes, reviews, persists state, surfaces questions, and produces evidence and artifacts.

Any model/provider CLI Argus uses internally—such as codex, copilot, claude, cursor, pi, opencode, or grok—is Argus configuration and an implementation detail, not a third role, peer actor, or separate party in this procedure. The outer operator may select or verify Argus's configured internal model/provider during preflight when operationally necessary and authorized; otherwise it treats Argus as one durable supervised system. Do not infer Argus configuration from the outer operator's identity, even when names happen to match.

Resolve the executable explicitly; do not assume one universal install path. POSIX shell:

bash
if [ -n "${ARGUS_BIN:-}" ]; then
  : # operator supplied an executable path
elif command -v argus >/dev/null 2>&1; then
  ARGUS_BIN="$(command -v argus)"
elif [ -n "${ARGUS_INSTALL:-}" ]; then
  ARGUS_BIN="$ARGUS_INSTALL/.venv/bin/argus"
else
  echo "Set ARGUS_BIN or ARGUS_INSTALL" >&2; exit 2
fi

Native PowerShell:

powershell
if ($env:ARGUS_BIN) {
  $ArgusBin = $env:ARGUS_BIN
} elseif (Get-Command argus -ErrorAction SilentlyContinue) {
  $ArgusBin = (Get-Command argus).Source
} elseif ($env:ARGUS_INSTALL) {
  $ArgusBin = Join-Path $env:ARGUS_INSTALL ".venv\Scripts\argus.exe"
} else {
  throw "Set ARGUS_BIN or ARGUS_INSTALL"
}

The command examples below use POSIX "$ARGUS_BIN" ... syntax. In PowerShell, invoke the resolved path as & $ArgusBin ....

For a source checkout, ARGUS_INSTALL="$HOME/src/Argus" is an example only, not a portable default. Record the resolved absolute executable path. Never download, reinstall, alter Argus's internal model/provider configuration, or widen permissions silently.

Core operating procedure

  1. Choose one owned workdir and a real security boundary. Use a dedicated absolute directory per Argus project. Never overlap another active Argus project's directory hierarchy. Do not move, delete, or share-write it while its daemon is active. True parallel work gets separate projects. The workdir is an ownership boundary, not a sandbox. ARGUS_SKILL_SAFE_MODE=1 adds guardrails but is not itself isolation for every backend. Before staging sensitive inputs, require verified sandboxing for the selected backend or run Argus in an appropriately isolated OS/container boundary. Default unattended mode may grant internal agents access beyond the workdir.
  2. Stage bounded inputs. Copy only task-relevant, disclosure-safe inputs under inputs/. Write OBJECTIVE.md with outcome, non-goals, output paths, acceptance checks, authority limits, and review/citation requirements. Before execution, check whether the mission contract could create a non-terminating cycle. If detected, revise the contract while preserving the user's objective and acceptance intent, then recheck it. Continue only when the contract has a stable completion condition. Do not stage ambient conversation history, credentials, or unrelated private data.
  3. Preflight from the exact workdir. Run "$ARGUS_BIN" doctor, then probe "$ARGUS_BIN" --status. Use doctor --deep only when backend authentication must be verified; do not add that network/auth latency to every routine preflight. Deep Doctor is not universal proof of live authentication: when it reports an unchecked token, offline capability, or unreachable route, use that backend's documented non-mutating live readiness probe before dispatch. Continue only if the required checks pass, the intended project/workdir is identified, no ownership conflict exists, and any operationally required internal model/provider choice is installed and authenticated. The outer operator may select or verify that Argus configuration here when authorized, but must not treat it as another operational party. The current Argus top-level help is intentionally terse and may omit supported automation flags; before using --notify, daemon, bounded, or API surfaces against another build, verify them from that build's docs/parser or a safe probe. See references/argus-runtime-surfaces.md.
  4. Keep internal execution configuration explicit only when needed. Prefer Argus's already configured, installed, authenticated internal model/provider. Qualify provider names where Argus requires it. Do not silently change configuration after a failed readiness check; diagnose first and obtain approval when the change exceeds delegated authority.
  5. Dispatch one standalone mission. From the workdir, give Argus a self-contained objective naming staged inputs and outputs. Request inspect → execute → validate → repair → final-artifact closure. Defer to Argus's native risk/Vertical review policy; explicitly require independent review only when the task contract or material risk requires it. Keep one bounded deliverable per mission. For a one-off bounded mission where reusable learning is not requested and deployment policy permits, set ARGUS_SKILL_REQUIRE_POST_TASK_LEARNING=0 to avoid the default post-task learning model call; otherwise preserve the configured learning policy. Use the interactive cockpit when available; for detached execution, use Argus's documented daemon/bounded surfaces rather than an improvised shell loop.
  6. Preserve evidence boundaries inside Argus. Argus may separate planning, engineering, and reviewing internally. Require decision-sized missions and artifact changes with evidence. When Argus's policy requires independent review, it must inspect actual artifacts, limits, citations, and completion. These are internal responsibilities, not additional parties in the outer operating model. Prefer one decisive check per claim; avoid ceremonial duplicate evidence or extra model turns.
  7. Monitor using the strongest available host capability. Follow the selected adapter in references/adapters/. Host background/process APIs improve observation but are not the source of truth: Argus durable project state is. Use Argus's detached daemon only where the active environment preserves host processes. Otherwise save the exact workdir/project identity and relaunch Argus against that state in a later turn. If no detached launch is permitted, keep a foreground cockpit or ask the user to leave it running; never claim unattended monitoring.
  8. Run the pending-question loop at every boundary. Inspect "$ARGUS_BIN" --status at dispatch, each meaningful status check, after blocked/paused/replan results, before leaving a run unattended, after answering, and before closeout. waiting on you : N unanswered question(s) is a stop signal. When available, also inspect the cockpit/Web UI Needs you prompt. On the validated Argus 0.1.1 build, API-capable operators may inspect GET /api/projects/{sid}/status or GET /api/projects/{sid}/snapshot?compact=true; both expose pending_questions, while full snapshots expose rows in backlog. These read routes may remain unauthenticated even when ARGUS_SKILL_WEB_TOKEN is configured: keep them loopback-only, or place them behind a trusted VPN/authenticating reverse proxy; never expose them directly to an untrusted network. Feature-detect these routes on other builds. Progress prose alone is insufficient.
  9. Classify each question. A durable unresolved marker is a backlog row with non-empty pending_question; a typed card also has operator_decision.status == "pending", plus id, question, reason, evidence, and optional options. This is not an informational chat question, objective text, review prose, or ordinary /ask. Treat the durable marker as blocking even beside failed, paused_operator, or success-looking text. Let Argus retain reversible technical routing unless a surfaced question clearly falls within delegated authority. Escalate credentials/secrets, spending, deletion/force-push/publication/external sends, irreversible or outward-facing actions, security/trust-boundary changes, legal/license decisions, material scope/acceptance changes, and ambiguous high-impact choices.
  10. Answer through an authoritative surface. Prefer the item-specific Needs you card in terminal/Web cockpit. On the validated Argus 0.1.1 build, API clients may use POST /api/projects/{sid}/decisions/{decision_id}/resolve with {"option_id":"…","note":"…"}, or legacy POST /api/projects/{sid}/backlog/{item_id}/answer with {"text":"…"}. A normal cockpit reply or POST /api/projects/{sid}/message is Manager-routed only when exactly one question is pending; when several exist, address the specific card/item. "$ARGUS_BIN" --notify '<answer>' queues guidance and can be bound by Manager only when exactly one question is pending; queue acknowledgement is not resolution. Feature-detect non-cockpit routes on other builds. Never guess on the user's behalf.
  11. Verify recording, then resume. On the validated build, require resolved: true where the surface returns it. Confirm the old pending_question cleared and a resolution was recorded. When a typed decision card exists, also require that card to become resolved; legacy untyped questions may have no card or resolution_id. Observe the continuation in its actual pending, running, completed, or stopped state rather than requiring it still be active at inspection time. A stop decision instead aborts the item, preserves work, disables continuous mode, and creates no continuation. Re-run status and verify execution resumed, completed, or stopped as intended. If the marker remains, clarify or escalate; do not send duplicate guesses.
  12. Inspect without importing the trajectory. Use status/cockpit for current mission, role, stage, backlog, outcome, latest verified position, and Needs you. Treat backlog plus latest verified evidence as the frontier. Keep raw transcripts, daemon logs, agent I/O, usage logs, and private ledgers local.
  13. Retrieve and verify artifacts. Read named output paths. Check existence, requested scope, and decisive tests. Resolve every material citation to the staged source; reject fabricated, stale-current, or claim-mismatched citations. Never infer success from a progress message.
  14. Recover from durable state. Resume paused write/execution work by asking Argus to resume from durable state with a self-contained resume objective, not an inline chat answer. If an internal execution thread cannot resume, use Argus checkpoints/capsules. Diagnose unresolved questions, ownership, internal model/provider readiness, budget/cooldown, and infrastructure before changing Argus configuration or objective.
  15. Close only on evidence. Finish when the bounded objective is met, artifacts and decisive checks pass, required Reviewer verdict is done, and no pending question/card remains. continue, replan_requested, blocked, research-pause, or unanswered Needs you is not completion. Distinguish mission completion from project/stage completion. Use references/closeout-checklist.md.
Show full SKILL.md (264 more words)Show less

Capability fallbacks

  • No native skill discovery: provide the full bundle or explicitly instruct the host to read this file and the matching adapter; do not claim automatic activation.
  • No shell: the host cannot directly operate local Argus. Use an approved remote shell/terminal integration or hand off exact operator steps; mark execution blocked rather than simulating it.
  • Shell but no process API: prefer Argus --daemon only when the environment preserves processes; always persist project/workdir identity and re-enter with status/cockpit. Do not background with fragile &, nohup, or sleep/poll loops unless the host's documented environment makes that the only approved path.
  • Process API but not durable across host sessions: use it for live logs only; durable Argus project state remains the recovery anchor, and the daemon may need to be relaunched.
  • No HTTP/API client: use terminal/Web cockpit and --status. Never require API access for the question loop.
  • No interactive approval route: fail closed on approval-gated actions. Split safe preflight from mutating launch, or ask the human to approve through that host's supported UI. Never bypass approval/sandbox flags merely to run unattended.
  • No unattended execution allowed: keep an interactive session open or stop with a precise resume instruction and unresolved state. Report monitoring as conditional, not active.

Privacy, authority, and return

Stage minimum data. Keep Web UI loopback-only unless the user approves protected remote access. Current user instructions and fresh evidence override prior plans or runtime suggestions.

Return to the invoking surface only: workdir/project identity, compact outcome/frontier, Reviewer verdict, artifact paths, decisive validation, citation exceptions, and unresolved operator-owned question/blocker. Do not assume that surface is a parent chat.

© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in integrations/agent-skills/argus-runtime-orchestration of microsoft/ArgusAgent.

  • SKILL.md
  • references/adapters/claude-code.md
  • references/adapters/codex-cli.md
  • references/adapters/copilot-cli.md
  • references/adapters/hermes-agent.md
  • references/adapters/openclaw.md
  • references/argus-runtime-surfaces.md
  • references/closeout-checklist.md

Open the folder on GitHubat commit 746f76b

Compare with similar skills

Argus Runtime Orchestration next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Argus Runtime Orchestration compared with similar skills
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Argus Runtime Orchestration this skillmicrosoft/ArgusAgent135—~3.6kAutomated safety check: PassMIT
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Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Argus Runtime Orchestration

What does Argus Runtime Orchestration do?

Portable outer-operator procedure for durable Argus missions across five hosts. Argus Runtime Orchestration is an agent skill from microsoft/ArgusAgent, published by the product's own GitHub organization. Portable outer-operator procedure for durable Argus missions across five hosts.

When should I use Argus Runtime Orchestration?

Argus Runtime Orchestration fits situations like: agent Workflows work in your project.

How do I install Argus Runtime Orchestration in Claude Code?

Run `npx skills add microsoft/ArgusAgent --skill argus-runtime-orchestration -a claude-code`. Or copy the skill folder (integrations/agent-skills/argus-runtime-orchestration in microsoft/ArgusAgent) into .claude/skills/argus-runtime-orchestration in your project. Claude Code loads it when a task matches its description.

How do I install Argus Runtime Orchestration in Codex?

Run `npx skills add microsoft/ArgusAgent --skill argus-runtime-orchestration -a codex`. Or copy the skill folder (integrations/agent-skills/argus-runtime-orchestration in microsoft/ArgusAgent) into .agents/skills/argus-runtime-orchestration in your project. Codex loads it when a task matches its description.

Can I use Argus Runtime Orchestration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/ArgusAgent --skill argus-runtime-orchestration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/argus-runtime-orchestration, .gemini/skills/argus-runtime-orchestration, .github/skills/argus-runtime-orchestration and .opencode/skills/argus-runtime-orchestration in your project.

What does Argus Runtime Orchestration need to run?

Going by SKILL.md and its folder, Argus Runtime Orchestration needs credentials named ARGUS_SKILL_WEB_TOKEN. Our summary lists: A credential in ARGUS_SKILL_WEB_TOKEN.

Does Argus Runtime Orchestration access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Argus Runtime Orchestration safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Argus Runtime Orchestration use?

Argus Runtime Orchestration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Argus Runtime Orchestration use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.

What are the alternatives to Argus Runtime Orchestration?

Skills that share tags, products or a category with Argus Runtime Orchestration: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Argus Runtime Orchestration?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/ArgusAgent, which has 135 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 2, 2026.

Source: microsoft/ArgusAgent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.