OpenClaw
10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
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.
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install hgosansn/muktExaminez 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.
Instructions
Use the bundled script to execute prompts against free OpenRouter models.
Workflow
- Ensure
OPENROUTER_API_KEYis set. - Run:
python3 {baseDir}/scripts/openrouter_free_chat.py --prompt "<user prompt>" - If the user provided system guidance, pass
--system "...". - Return the
responsetext and mention which model was used.
Command Options
-
--prompt(required): User prompt text. -
--system(optional): System instruction. -
--max-attempts(optional, default8): Number of top free models to try. -
--temperature(optional, default0.3): 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.Skills associés
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