szarkans

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setup

Walks a non-technical user through connecting every judge model this plugin can use — Codex, OpenCode, OpenRouter, Gemini — one at a time, in plain words. Use f

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Prix non confirmé★ 4 Stars GitHubRegistre mis à jour · 9 oct. 2026agent-skill

Vue d’ensemble

Walks a non-technical user through connecting every judge model this plugin can use — Codex, OpenCode, OpenRouter, Gemini — one at a time, in plain words. Use for "multi setup", "set up multi", "configure judges/reviewers/ backends", "onboarding", or whenever a probe shows missing backends and the user needs to know what to do about it.

Lire la documentation complète

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

Connect the judges

!sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'

$SCRIPTS is whatever the probe printed as scripts-dir:. The probe already ran above — read it, do not run it again.

The user here is not assumed technical. No jargon, no walls of text, one step at a time, and never make them feel behind for not having done this already.

What this plugin actually is, in plain words

Say this first, briefly, before touching any config:

This plugin asks several different AI models to look at the same thing instead of just one. When they agree, that is a real signal. When they disagree, that disagreement is the whole point — one model alone can't tell you it might be wrong, three models can.

The lineup:

  • Claude — already here, always available, nothing to configure.
  • GPT, through the Codex CLI — needs a ChatGPT account.
  • DeepSeek, through OpenCode — free, works out of the box once installed.
  • Gemini, through its own CLI — needs a free API key.
  • OpenRouter — the bonus one. A single key unlocks many other model families at once. Free models by default, or any specific model with --backend name:model (e.g. --backend openrouter:z-ai/glm-5.2:free).

Fix one thing at a time

Look at the probe output above. For each backend that is missing or not configured, offer the fix — one at a time, not all four in a list. Start with the most valuable one that's missing. Codex comes first if it's missing: /multi:code-review refuses to run at all without it, the others just get weaker.

Order to work through, skipping each install or login fix already OK. The OpenCode model-choice check below always runs, even when OpenCode is OK:

  1. Codex missing or not logged in

    codex login
    

    Needs a ChatGPT account. This opens a browser to sign in — nothing to type here.

  2. OpenCode If it is missing:

    curl -fsSL https://opencode.ai/install | bash
    

    (or npm install -g opencode-ai if they'd rather use npm). Nothing to pay for or sign up to — it works with free models right out of the box.

    Once OpenCode is checked — whether it was already OK or was just installed — check its model choice. The config is ${XDG_CONFIG_HOME:-$HOME/.config}/multi/models, unless MULTI_MODELS_CONFIG overrides it. It is a hand-edited file of key: value1 value2 ... lines with # comments. Today the only key is opencode:; its first model is primary and the rest are fallbacks.

    Determine the effective primary model in this exact order: use MULTI_OPENCODE_MODEL when it is set; otherwise use the first model on the config's opencode: line when present; otherwise use the auto-detected primary reported by the probe above. If the config has an opencode: line, still say which models are pinned, in order, but do not use the line's mere presence or absence to decide whether the active channel is free.

    Decide the warning from the effective primary model's provider prefix: opencode/* is the free channel and opencode-go/* is the paid Go subscription channel. Warn only when the effective primary is an opencode/* free model. Thus an environment override takes precedence over a configured model, and a configured free primary still gets the warning. For a free effective primary, say this loudly and plainly:

    Important: you're using free models. They are weaker and less stable. A review may come back thin or even empty, so reviewing on free is a real quality compromise.

    Then ask an explicit yes/no question:

    Want me to look up the current models, their prices, and how much usage you'd get (how much you'd pay) — and help you pick a good one + fallbacks?

    If no, acknowledge that keeping free is a deliberate choice and move on. If yes:

    • Run both opencode --pure models and opencode --pure models --verbose; --pure is required so plugin noise does not pollute the output, and the verbose listing includes costs.
    • Use web search for unfamiliar model names: your own model knowledge is stale and newer models will not be in it. Check what they actually are, their quality and benchmarks, and current pricing.
    • Propose one primary model and an ordered fallback chain.
    • After the user chooses, create the config directory if needed and write opencode: <primary> <fallback1> <fallback2> ..., preserving every other line already in the file.

    Remind them that this is deliberately hand-editable: they can change that one opencode: line themselves at any time, with no agent needed.

  3. OpenRouter not configured Key comes from openrouter.ai — sign up, create a key. There's a free tier, no card needed to get one key working. Then they run this themselves, in their own terminal — it asks for the key and does not echo it:

    $SCRIPTS/setup.sh set OPENROUTER_API_KEY
    
  4. Gemini not configured Key is free, from aistudio.google.com. The second line is theirs to run in their own terminal, same as above:

    npm i -g @google/gemini-cli
    $SCRIPTS/setup.sh set GEMINI_API_KEY
    

Give one fix, wait for them to do it or ask a question, then move to the next. Do not paste all four blocks in one message — that's the thing this skill exists to avoid.

Never ask for a key in chat, and never run the command yourself

Not a preference — a key that reaches this conversation is a leaked key: it is in the transcript, and if it also reached a command line it is in their shell history and was visible in ps to everyone on the machine. So setup.sh set <NAME> is given without a value and run by them, in their own terminal: it prompts, reads the key without echoing it, and writes it out of sight. If a key does land in the chat anyway, say plainly that it should be rotated at the provider — a leaked key is not un-leaked by deleting a message.

Keys live outside this plugin's folder, in ~/.claude/multi/providers.env, which scripts/setup.sh sets to permission 600 — only their own user can read it. On Windows/MSYS and on some mounts (exFAT, some NTFS) chmod is accepted and does nothing; the script checks afterwards and prints a warning when that happened, so if you see no warning the file really is owner-only, and if you see one, repeat it to them rather than restating the 600 line.

Finish: show where things stand

Run:

$SCRIPTS/setup.sh status

Report it as one short block — who's connected, and what each missing one would still add:

Connected: Claude, Codex
Not yet:   OpenCode (free third opinion), OpenRouter (bonus — many models via one key), Gemini (free fourth opinion)

With just Claude: /multi:code-review refuses to run (needs Codex at minimum).
/multi:ask and /multi:adhd still work, just with fewer opinions.

Be honest about degradation, not alarming about it. Missing backends are a normal starting state, not a broken install.

Then stop. Don't chain into another skill or start reviewing anything — this skill's only job is getting the judges connected.

Métadonnées du fichier
name: setup
description: >-
  Walks a non-technical user through connecting every judge model this plugin
  can use — Codex, OpenCode, OpenRouter, Gemini — one at a time, in plain
  words. Use for "multi setup", "set up multi", "configure judges/reviewers/
  backends", "onboarding", or whenever a probe shows missing backends and the
  user needs to know what to do about it.
allowed-tools: Bash, Read, Grep, Glob
argument-hint: "[nothing needed — just run it]"
Voir le texte original
---
name: setup
description: >-
  Walks a non-technical user through connecting every judge model this plugin
  can use — Codex, OpenCode, OpenRouter, Gemini — one at a time, in plain
  words. Use for "multi setup", "set up multi", "configure judges/reviewers/
  backends", "onboarding", or whenever a probe shows missing backends and the
  user needs to know what to do about it.
allowed-tools: Bash, Read, Grep, Glob
argument-hint: "[nothing needed — just run it]"
---

# Connect the judges

!`sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'`

`$SCRIPTS` is whatever the probe printed as `scripts-dir:`. The probe already
ran above — read it, do not run it again.

The user here is not assumed technical. No jargon, no walls of text, one step
at a time, and never make them feel behind for not having done this already.

## What this plugin actually is, in plain words

Say this first, briefly, before touching any config:

This plugin asks several different AI models to look at the same thing
instead of just one. When they agree, that is a real signal. When they
disagree, that disagreement is the whole point — one model alone can't tell
you it might be wrong, three models can.

The lineup:

- **Claude** — already here, always available, nothing to configure.
- **GPT**, through the Codex CLI — needs a ChatGPT account.
- **DeepSeek**, through OpenCode — free, works out of the box once installed.
- **Gemini**, through its own CLI — needs a free API key.
- **OpenRouter** — the bonus one. A single key unlocks many other model
  families at once. Free models by default, or any specific model with
  `--backend name:model` (e.g. `--backend openrouter:z-ai/glm-5.2:free`).

## Fix one thing at a time

Look at the probe output above. For each backend that is missing or not
configured, offer the fix — **one at a time, not all four in a list.** Start
with the most valuable one that's missing. Codex comes first if it's missing:
`/multi:code-review` refuses to run at all without it, the others just get
weaker.

Order to work through, skipping each install or login fix already `OK`. The
OpenCode model-choice check below always runs, even when OpenCode is `OK`:

1. **Codex missing or not logged in**
   ```
   codex login
   ```
   Needs a ChatGPT account. This opens a browser to sign in — nothing to type
   here.

2. **OpenCode**
   If it is missing:
   ```
   curl -fsSL https://opencode.ai/install | bash
   ```
   (or `npm install -g opencode-ai` if they'd rather use npm). Nothing to pay
   for or sign up to — it works with free models right out of the box.

   Once OpenCode is checked — whether it was already `OK` or was just
   installed — check its model choice. The config is
   `${XDG_CONFIG_HOME:-$HOME/.config}/multi/models`, unless
   `MULTI_MODELS_CONFIG` overrides it. It is a hand-edited file of
   `key: value1 value2 ...` lines with `#` comments. Today the only key is
   `opencode:`; its first model is primary and the rest are fallbacks.

   Determine the effective primary model in this exact order: use
   `MULTI_OPENCODE_MODEL` when it is set; otherwise use the first model on the
   config's `opencode:` line when present; otherwise use the auto-detected
   primary reported by the probe above. If the config has an `opencode:` line,
   still say which models are pinned, in order, but do not use the line's mere
   presence or absence to decide whether the active channel is free.

   Decide the warning from the effective primary model's provider prefix:
   `opencode/*` is the free channel and `opencode-go/*` is the paid Go
   subscription channel. Warn **only** when the effective primary is an
   `opencode/*` free model. Thus an environment override takes precedence over
   a configured model, and a configured free primary still gets the warning.
   For a free effective primary, say this **loudly and plainly**:

   > **Important: you're using free models. They are weaker and less stable. A
   > review may come back thin or even empty, so reviewing on free is a real
   > quality compromise.**

   Then ask an explicit yes/no question:

   > Want me to look up the current models, their prices, and how much usage
   > you'd get (how much you'd pay) — and help you pick a good one + fallbacks?

   If **no**, acknowledge that keeping free is a deliberate choice and move
   on. If **yes**:

   - Run both `opencode --pure models` and
     `opencode --pure models --verbose`; `--pure` is required so plugin noise
     does not pollute the output, and the verbose listing includes costs.
   - Use web search for unfamiliar model names: your own model knowledge is
     stale and newer models will not be in it. Check what they actually are,
     their quality and benchmarks, and current pricing.
   - Propose one primary model and an ordered fallback chain.
   - After the user chooses, create the config directory if needed and write
     `opencode: <primary> <fallback1> <fallback2> ...`, preserving every other
     line already in the file.

   Remind them that this is deliberately hand-editable: they can change that
   one `opencode:` line themselves at any time, with no agent needed.

3. **OpenRouter not configured**
   Key comes from [openrouter.ai](https://openrouter.ai) — sign up, create a
   key. There's a free tier, no card needed to get one key working. Then they
   run this **themselves, in their own terminal** — it asks for the key and
   does not echo it:
   ```
   $SCRIPTS/setup.sh set OPENROUTER_API_KEY
   ```

4. **Gemini not configured**
   Key is free, from [aistudio.google.com](https://aistudio.google.com). The
   second line is theirs to run in their own terminal, same as above:
   ```
   npm i -g @google/gemini-cli
   $SCRIPTS/setup.sh set GEMINI_API_KEY
   ```

Give one fix, wait for them to do it or ask a question, then move to the
next. Do not paste all four blocks in one message — that's the thing this
skill exists to avoid.

## Never ask for a key in chat, and never run the command yourself

Not a preference — a key that reaches this conversation is a leaked key: it is
in the transcript, and if it also reached a command line it is in their shell
history and was visible in `ps` to everyone on the machine. So `setup.sh set
<NAME>` is given **without** a value and run **by them**, in their own
terminal: it prompts, reads the key without echoing it, and writes it out of
sight. If a key does land in the chat anyway, say plainly that it should be
rotated at the provider — a leaked key is not un-leaked by deleting a message.

Keys live outside this plugin's folder, in `~/.claude/multi/providers.env`,
which `scripts/setup.sh` sets to permission `600` — only their own user can
read it. On Windows/MSYS and on some mounts (exFAT, some NTFS) `chmod` is
accepted and does nothing; the script checks afterwards and prints a warning
when that happened, so if you see no warning the file really is owner-only,
and if you see one, repeat it to them rather than restating the `600` line.

## Finish: show where things stand

Run:
```
$SCRIPTS/setup.sh status
```

Report it as one short block — who's connected, and what each missing one
would still add:

```
Connected: Claude, Codex
Not yet:   OpenCode (free third opinion), OpenRouter (bonus — many models via one key), Gemini (free fourth opinion)

With just Claude: /multi:code-review refuses to run (needs Codex at minimum).
/multi:ask and /multi:adhd still work, just with fewer opinions.
```

Be honest about degradation, not alarming about it. Missing backends are a
normal starting state, not a broken install.

Then stop. Don't chain into another skill or start reviewing anything —
this skill's only job is getting the judges connected.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill
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Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence
MIT
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Source à réexaminer

La source a changé ou sa synchronisation a échoué. Vérifiez-la avant installation.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill instructs running `curl -fsSL https://opencode.ai/install | bash` without explicitly stating that the agent must obtain user consent before executing it. While the skill is interactive, the agent should always confirm before running such commands.
  • The inline shell command that executes `probe.sh` from the plugin directory could be a vector if the plugin is compromised, but it is part of the trusted repository. Still, it would be safer to verify the script's integrity or run it in a sandboxed manner.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 4 GitHub stars
  • Stars/forks activity: 4 stars, 1 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 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

Répertorié

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

Dépôt source
szarkans/multi
Licence
MIT
Version
1.0.0
Dernier push GitHub
27 août 2026
Registre mis à jour
9 oct. 2026
Chemin des instructions
skills/setup/SKILL.md

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

Qualité

50/100

Revue nécessaire

Confiance

50/100

Do not auto-install

Audit

65/100

Revue nécessaire

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill instructs running `curl -fsSL https://opencode.ai/install | bash` without explicitly stating that the agent must obtain user consent before executing it. While the skill is interactive, the agent should always confirm before running such commands.
  • The inline shell command that executes `probe.sh` from the plugin directory could be a vector if the plugin is compromised, but it is part of the trusted repository. Still, it would be safer to verify the script's integrity or run it in a sandboxed manner.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 4 GitHub stars
  • Stars/forks activity: 4 stars, 1 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Résultats
—

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

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Plus de détails
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      "Permission surface may require sandboxing",
      "The skill instructs running `curl -fsSL https://opencode.ai/install | bash` without explicitly stating that the agent must obtain user consent before executing it. While the skill is interactive, the agent should always confirm before running such commands.",
      "The inline shell command that executes `probe.sh` from the plugin directory could be a vector if the plugin is compromised, but it is part of the trusted repository. Still, it would be safer to verify the script's integrity or run it in a sandboxed manner.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 4 GitHub stars"
    ]
  },
  "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": 50,
    "label": "Needs review"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "The skill instructs running `curl -fsSL https://opencode.ai/install | bash` without explicitly stating that the agent must obtain user consent before executing it. While the skill is interactive, the agent should always confirm before running such commands.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "The inline shell command that executes `probe.sh` from the plugin directory could be a vector if the plugin is compromised, but it is part of the trusted repository. Still, it would be safer to verify the script's integrity or run it in a sandboxed manner."
  ],
  "agent_contract": {
    "task_input": "Use setup 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: 58/100 Manual review",
      "Audit: 65/100 Needs review",
      "Safety: 21/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "szarkans-setup (setup)",
      "install_command": "",
      "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": "szarkans-setup",
      "task": "Use setup 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/szarkans-setup",
    "api": "https://www.openagentskill.com/api/agent/skills/szarkans-setup",
    "audit": "https://www.openagentskill.com/skills/szarkans-setup/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=szarkans-setup&task=Use%20setup%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20setup%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20setup%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/szarkans-setup/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/szarkans-setup"
  }
}

Pour le créateur

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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
szarkans
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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Cette fiche Indexé par Registry est attribuée à szarkans, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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