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OpenClaw

openrouter-free-responder

Zero-cost OpenRouter responder that auto-discovers the best currently free model, retries on failures, and returns clean answers fast. Use this when a user asks to query OpenRouter, wants lowest-cost/free model routing, or explicitly requests a free-model OpenRouter response.

hgosansn0 installations selon la source☆ 0 Étoiles du dépôt
Voir la source ↗InstallationSKILL.md ↗

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hgosansn/mukt

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Use the bundled script to execute prompts against free OpenRouter models.

Workflow

  1. Ensure OPENROUTER_API_KEY is set.
  2. Run: 
    python3 {baseDir}/scripts/openrouter_free_chat.py --prompt "<user prompt>"
  3. If the user provided system guidance, pass --system "...".
  4. Return the response text and mention which model was used.

Command Options

  • --prompt (required): User prompt text.
  • --system (optional): System instruction.
  • --max-attempts (optional, default 8): Number of top free models to try.
  • --temperature (optional, default 0.3): Sampling temperature.
  • --debug (optional): Print model ranking and fallback attempts to stderr.

Output Contract

The script prints one JSON object to stdout with:

  • selected_model: Model that produced the final response.
  • response: Final assistant text.
  • attempted_models: Ordered list of tried models.
  • free_model_candidates: Number of free models discovered.

If no model succeeds, the script exits non-zero with an error message.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hgosansn/mukt
Version
—
Commit
deb9b6663139bb6251b3d184e03f4712e64c2c00
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
Use the bundled script to execute prompts against free OpenRouter models.

## Workflow

1. Ensure `OPENROUTER_API_KEY` is set.
2. Run:
   ```bash
   python3 {baseDir}/scripts/openrouter_free_chat.py --prompt "<user prompt>"
   ```
3. If the user provided system guidance, pass `--system "..."`.
4. Return the `response` text and mention which model was used.

## Command Options

- `--prompt` (required): User prompt text.
- `--system` (optional): System instruction.
- `--max-attempts` (optional, default `8`): Number of top free models to try.
- `--temperature` (optional, default `0.3`): Sampling temperature.
- `--debug` (optional): Print model ranking and fallback attempts to stderr.

## Output Contract

The script prints one JSON object to stdout with:

- `selected_model`: Model that produced the final response.
- `response`: Final assistant text.
- `attempted_models`: Ordered list of tried models.
- `free_model_candidates`: Number of free models discovered.

If no model succeeds, the script exits non-zero with an error message.

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