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openrig-software-factory

Use when a user wants a continuing software team for a real repository, or has a first OpenRig team and needs a repeatable path for reviewed work and later task

Examiner la source Voir sur GitHub

Prix non confirmé★ 486 Stars GitHubRegistre mis à jour · 9 oct. 2026agent-skill

Vue d’ensemble

Use when a user wants a continuing software team for a real repository, or has a first OpenRig team and needs a repeatable path for reviewed work and later tasks.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

OpenRig Software Factory

Start with a useful repository outcome and add coordination when it earns its cost. A beginner can complete reviewed work without Workflow. These are choices using existing capabilities, not stages everyone must graduate through.

Choose how the team works

Need	Start here	Add more when…
One change, close human guidance	Manual/team work: give an owner the outcome, use repository instructions, implement and obtain the chosen independent check.	Work must survive turns or move between seats.
Continuing work with visible ownership	Queue-supported orchestration: use `rig queue create`, claim work, then `rig queue handoff` with the candidate/evidence to the next owner. Record real blockers and the continuation. No Workflow instance is needed.	Repeated steps need an explicit dependency graph and permitted exits.
An explicit execution contract	Workflow: inspect `rig workflow compile`, then deliberately use `rig workflow instantiate-lifecycle`. Advance its packets through the workflow projection mechanism.	The actual project needs reusable profiles, additional roles or gates.

For the concrete queue loop, wake behavior and optional two-slice Workflow, read references/worked-example.md. Installed copy: rig context get skills/core/openrig-software-factory/references/worked-example.md. A roadmap, YAML file or wake does not execute work or authorize a new outcome.

Establish the working agreement

Read the repository instructions, current work and desired user-visible result. Verify the intended instance, code/work roots, real seat addresses and native readiness. Reuse a suitable small team; an existing agent can bootstrap it. A kernel operator is optional and is not automatically the project owner.

Agree the work boundary, time/spend limit, who answers unresolved choices, and when to stop: checked result, no authorized next work, exhausted budget, or a real user/permission/provider blocker. Background daemon checks are not themselves model turns, but delivered wakes and resumed work can spend tokens. Prefer an event-driven wait to frequent empty reminders. Wakes cannot answer a user question, clear a permission prompt or guarantee progress.

Choose permissions before launching or assigning work. Offer ordinary prompts, persistent rules for selected commands, or deliberately broader access. Follow Applying a permission policy to perform the user's choice and verify it in the target conversation. Preserve restrictions and unrelated settings. A whole rig allowance covers every verb, not just reads; it does not grant new product authority or change everyone else's defaults.

Keep purpose, acceptance, decisions and evidence in existing project files. Deliver selected context and obtain each seat's scope reaction; retrieval alone is not peer delivery. The owner carries the candidate through the chosen check and bounded repairs, reports how to try it, and retains the next authorized task or explicitly reports none. Preserve work and custody before a supported stop.

Grow your factory

Choose the team size separately from the coordination method above:

Use the two-agent starter. Keep the existing owner and independent checker while that pair meets the workload. The owner can implement and coordinate.
Add one or two seats to the running rig. This is the usual next step. Follow Grow the running team for rig grow commands, readiness/context/work assignment, and saving the expanded topology. Existing sessions need no rebuild or down/up cycle solely to add capacity.
Author a custom rig when you want a different structure. Read OpenRig Architect, available through rig context get skills/core/openrig-architect/SKILL.md. Request: “Design a user-owned rig for [outcome] using the compatible RigSpec/AgentSpec guidance. Reuse suitable agents, define responsibilities and context, and validate the files. Preserve the existing rig and agree any new launch.”

As independent work grows, the original owner can concentrate on orchestration, multiple builders can implement separate outcomes, and the checker can retain independent review capacity. Record that division explicitly; adding seats does not assign work, change permissions or create parallelism. Agree file/worktree boundaries and integration ownership, follow the project's existing review policy, and keep active concurrency within the user's time/spend budget. Two seats are an entry point, not a finished factory or a maximum.

Read compatible guidance

Before installation, use this file and companion at the same published tag or commit as the selected package. After installation:

rig --version
rig context list --json
rig context show skills/core/openrig-software-factory --json
rig context get skills/core/openrig-software-factory/SKILL.md

Compare build identity as well as version. Preserve missing, unreadable or older recipe results; do not silently substitute newer main or skip a missing companion.

Find the compatible permission guide

Retrieve the maintained procedure with rig context get skills/applying-a-permission-policy/SKILL.md. For source or archive readers, locate it below; the companion getting-started guide contains optional broader launch-mode recipes under Opt-in permissive operation. These paths are relative to the named root, not this skill:

Reading from	Procedure and guide, at the same version as this recipe
Source checkout, including `skills/_canonical`	Below the repository root: `packages/daemon/assets/plugins/openrig-core/skills/applying-a-permission-policy/SKILL.md` and `docs/reference/getting-started.md`.
npm installation	Below the matching `npm root -g` or local `npm root`: `@openrig/cli/daemon/assets/plugins/openrig-core/skills/applying-a-permission-policy/SKILL.md` and `@openrig/cli/daemon/docs/reference/getting-started.md`.
Unpacked npm archive	Below the extraction directory: `package/daemon/assets/plugins/openrig-core/skills/applying-a-permission-policy/SKILL.md` and `package/daemon/docs/reference/getting-started.md`.

For installed guidance, use the npm installation that supplies the selected rig executable; another prefix or local project can contain a different version. If the matching guide or section is missing, report the gap before proceeding; do not substitute current main or guidance from another installation.

Request to give your agent

Help me achieve [observable change] in this repository. Read the compatible Software Factory recipe, choose the lightest useful team/queue/Workflow path, and keep the next owner visible. Preserve existing files and permissions. Agree time/spend limits, perform the authorized work and chosen independent check, and ask only about unresolved decisions or effects outside that scope. Keep publication and destructive changes out of this task.

When commands, defaults or permission semantics change, check this source and companion together and regenerate their existing projections. Website guidance should link to the same versioned recipe, not maintain another procedure.

Voir la source ↗

Métadonnées du fichier

name: openrig-software-factory
description: >-
  Use when a user wants a continuing software team for a real repository, or has a
  first OpenRig team and needs a repeatable path for reviewed work and later tasks.
metadata:
  cli_surfaces_referenced:
    - context get
    - context list
    - context show
    - grow
    - queue create
    - queue handoff
    - workflow compile
    - workflow instantiate-lifecycle
  openrig:
    stage: WIP
    transfer_test: pending

Voir le texte original

---
name: openrig-software-factory
description: >-
Use when a user wants a continuing software team for a real repository, or has a
first OpenRig team and needs a repeatable path for reviewed work and later tasks.
metadata:
cli_surfaces_referenced:
- context get
- context list
- context show
- grow
- queue create
- queue handoff
- workflow compile
- workflow instantiate-lifecycle
openrig:
stage: WIP
transfer_test: pending
---

# OpenRig Software Factory

Start with a useful repository outcome and add coordination when it earns its
cost. A beginner can complete reviewed work without Workflow. These are choices
using existing capabilities, not stages everyone must graduate through.

## Choose how the team works

| Need | Start here | Add more when… |
| --- | --- | --- |
| One change, close human guidance | Manual/team work: give an owner the outcome, use repository instructions, implement and obtain the chosen independent check. | Work must survive turns or move between seats. |
| Continuing work with visible ownership | Queue-supported orchestration: use `rig queue create`, claim work, then `rig queue handoff` with the candidate/evidence to the next owner. Record real blockers and the continuation. No Workflow instance is needed. | Repeated steps need an explicit dependency graph and permitted exits. |
| An explicit execution contract | Workflow: inspect `rig workflow compile`, then deliberately use `rig workflow instantiate-lifecycle`. Advance its packets through the workflow projection mechanism. | The actual project needs reusable profiles, additional roles or gates. |

For the concrete queue loop, wake behavior and optional two-slice Workflow,
read [references/worked-example.md](references/worked-example.md). Installed copy:
`rig context get skills/core/openrig-software-factory/references/worked-example.md`.
A roadmap, YAML file or wake does not execute work or authorize a new outcome.

## Establish the working agreement

Read the repository instructions, current work and desired user-visible result.
Verify the intended instance, code/work roots, real seat addresses and native
readiness. Reuse a suitable small team; an existing agent can bootstrap it.
A kernel operator is optional and is not automatically the project owner.

Agree the work boundary, time/spend limit, who answers unresolved choices, and
when to stop: checked result, no authorized next work, exhausted budget, or a real
user/permission/provider blocker. Background daemon checks are not themselves
model turns, but delivered wakes and resumed work **can spend tokens**. Prefer
an event-driven wait to frequent empty reminders. Wakes cannot answer a user
question, clear a permission prompt or guarantee progress.

**Choose permissions before launching or assigning work.** Offer ordinary prompts,
persistent rules for selected commands, or deliberately broader access. Follow
[Applying a permission policy](#find-the-compatible-permission-guide) to perform
the user's choice and verify it in the target conversation. Preserve restrictions
and unrelated settings. A whole `rig` allowance covers every verb, not just reads;
it does not grant new product authority or change everyone else's defaults.

Keep purpose, acceptance, decisions and evidence in existing project files.
Deliver selected context and obtain each seat's scope reaction; retrieval alone
is not peer delivery. The owner carries the candidate through the chosen check
and bounded repairs, reports how to try it, and retains the next authorized task
or explicitly reports none. Preserve work and custody before a supported stop.

## Grow your factory

Choose the team size separately from the coordination method above:

1. **Use the two-agent starter.** Keep the existing owner and independent checker
while that pair meets the workload. The owner can implement and coordinate.
2. **Add one or two seats to the running rig.** This is the usual next step.
Follow [Grow the running team](references/worked-example.md#grow-the-running-team)
for `rig grow` commands, readiness/context/work
assignment, and saving the expanded topology. Existing sessions need no
rebuild or down/up cycle solely to add capacity.
3. **Author a custom rig when you want a different structure.** Read
[OpenRig Architect](../openrig-architect/SKILL.md), available through
`rig context get skills/core/openrig-architect/SKILL.md`. Request:
“Design a user-owned rig for [outcome] using the compatible RigSpec/AgentSpec
guidance. Reuse suitable agents, define responsibilities and context, and
validate the files. Preserve the existing rig and agree any new launch.”

As independent work grows, the original owner can concentrate on orchestration,
multiple builders can implement separate outcomes, and the checker can retain
independent review capacity. Record that division explicitly; adding seats does
not assign work, change permissions or create parallelism. Agree file/worktree
boundaries and integration ownership, follow the project's existing review policy,
and keep active concurrency within the user's time/spend budget. Two seats are
an entry point, not a finished factory or a maximum.

## Read compatible guidance

Before installation, use this file and companion at the same published tag or
commit as the selected package. After installation:

```sh
rig --version
rig context list --json
rig context show skills/core/openrig-software-factory --json
rig context get skills/core/openrig-software-factory/SKILL.md
```

Compare build identity as well as version. Preserve missing, unreadable or older
recipe results; do not silently substitute newer main or skip a missing companion.

### Find the compatible permission guide

Retrieve the maintained procedure with
`rig context get skills/applying-a-permission-policy/SKILL.md`.
For source or archive readers, locate it below; the companion getting-started
guide contains optional broader launch-mode recipes under **Opt-in permissive
operation**. These paths are relative to the named root, not this skill:

| Reading from | Procedure and guide, at the same version as this recipe |
| --- | --- |
| Source checkout, including `skills/_canonical` | Below the repository root: `packages/daemon/assets/plugins/openrig-core/skills/applying-a-permission-policy/SKILL.md` and `docs/reference/getting-started.md`. |
| npm installation | Below the matching `npm root -g` or local `npm root`: `@openrig/cli/daemon/assets/plugins/openrig-core/skills/applying-a-permission-policy/SKILL.md` and `@openrig/cli/daemon/docs/reference/getting-started.md`. |
| Unpacked npm archive | Below the extraction directory: `package/daemon/assets/plugins/openrig-core/skills/applying-a-permission-policy/SKILL.md` and `package/daemon/docs/reference/getting-started.md`. |

For installed guidance, use the npm installation that supplies the selected
`rig` executable; another prefix or local project can contain a different version.
If the matching guide or section is missing, report the gap before proceeding;
do not substitute current main or guidance from another installation.

## Request to give your agent

> Help me achieve [observable change] in this repository. Read the compatible
> Software Factory recipe, choose the lightest useful team/queue/Workflow path,
> and keep the next owner visible. Preserve existing files and permissions.
> Agree time/spend limits, perform the authorized work and chosen independent
> check, and ask only about unresolved decisions or effects outside that scope.
> Keep publication and destructive changes out of this task.

When commands, defaults or permission semantics change, check this source and
companion together and regenerate their existing projections. Website guidance
should link to the same versioned recipe, not maintain another procedure.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: Apache-2.0
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: mvschwarz/openrig
Licence: Apache-2.0
Version: Unknown
Dernier push GitHub: 26 sept. 2026
Registre mis à jour: 9 oct. 2026
Chemin des instructions: packages/daemon/specs/agents/shared/skills/core/openrig-software-factory/SKILL.md @ 5c5470303518

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

68/100

Prometteur

Confiance

65/100

Sandbox uniquement

Audit

77/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails

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      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution",
      "Review status: AI review approval is missing"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 68,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "16d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "yanliudesign-mono-color-skill",
      "name": "mono-color",
      "url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
      "stars": 1919,
      "install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
      "trust_score": 83,
      "audit_score": 90
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use openrig-software-factory in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 73/100 Strong shortlist",
      "Audit: 77/100 Needs review",
      "Safety: 37/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "mvschwarz-openrig-software-factory (openrig-software-factory)",
      "install_command": "npx skills add mvschwarz/openrig --skill openrig-software-factory",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "mvschwarz-openrig-software-factory",
      "task": "Use openrig-software-factory in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/mvschwarz-openrig-software-factory",
    "api": "https://www.openagentskill.com/api/agent/skills/mvschwarz-openrig-software-factory",
    "audit": "https://www.openagentskill.com/skills/mvschwarz-openrig-software-factory/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=mvschwarz-openrig-software-factory&task=Use%20openrig-software-factory%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20openrig-software-factory%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20openrig-software-factory%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/mvschwarz-openrig-software-factory/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/mvschwarz-openrig-software-factory"
  }
}

Pour le créateur

Source de la fiche

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: mvschwarz
Source: mvschwarz/openrig
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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