stock-data-skill
OpenClaw Skill for stock data analysis
Use BatchJob HTTP APIs for strict upload validation, precheck, submit, polling, and cancellation. Full-auto file source resolution (file_id/local path/public URL/channel attachment path) with fallback interaction only when source is not readable.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install cocovs/ssy-batchjob-async-jobExaminez 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.
Use this skill when the user wants to run or manage batch jobs through the BatchJob service.
BATCHJOB_BASE_URL
BATCHJOB_BEARER_TOKEN
All HTTP requests must include:
-H "Authorization: Bearer ${BATCHJOB_BEARER_TOKEN}"
-H "Content-Type: application/json"
POST /v1/batch/files:upload
POST /v1/batch/jobs:precheck
POST /v1/batch/jobs
GET /v1/batch/jobs/{job_id}
GET /v1/batch/jobs?page=1&page_size=10&status=...
POST /v1/batch/jobs/{job_id}:cancel
file_id first.jsonl, csv, xlsx, xls (BatchJob normalizes to internal JSONL).jsonl, each line must be either:
contents + optional generationConfig)prompt + optional aspect_ratio / image_urls, where image_urls must be publicly reachable URLs)model mode after a file message, treat it as confirmation and continue automatically.row_count <= 0.output_summary_url automatically; only do it when user asks for detailed failure reason.completed, failed, partially_failed), stop execution and return summary immediately.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# BatchJob Async Job Skill
Use this skill when the user wants to run or manage batch jobs through the BatchJob service.
## Required Environment
- `BATCHJOB_BASE_URL`
- `BATCHJOB_BEARER_TOKEN`
All HTTP requests must include:
```bash
-H "Authorization: Bearer ${BATCHJOB_BEARER_TOKEN}"
-H "Content-Type: application/json"
```
## API Endpoints
- `POST /v1/batch/files:upload`
- `POST /v1/batch/jobs:precheck`
- `POST /v1/batch/jobs`
- `GET /v1/batch/jobs/{job_id}`
- `GET /v1/batch/jobs?page=1&page_size=10&status=...`
- `POST /v1/batch/jobs/{job_id}:cancel`
## Automation Policy (Default)
- Always run in full-auto mode.
- Do not ask user for `file_id` first.
- Resolve file source from current message/context, then upload automatically when needed.
- Ask follow-up questions only when no readable file source can be obtained.
- Accepted input file formats for upload: `jsonl`, `csv`, `xlsx`, `xls` (BatchJob normalizes to internal JSONL).
- For `jsonl`, each line must be either:
- canonical Vertex format (`contents` + optional `generationConfig`)
- simple prompt format (`prompt` + optional `aspect_ratio` / `image_urls`, where `image_urls` must be publicly reachable URLs)
- If user gives only `model mode` after a file message, treat it as confirmation and continue automatically.
## Guardrails (Must Follow)
- Do not auto-retry by creating a second job unless user explicitly asks.
- Do not auto-rewrite dataset format after a terminal failure unless user explicitly asks.
- Before upload, auto-normalization is allowed only once for known safe mappings (e.g. simple prompt JSONL -> Vertex JSONL).
- Upload failure is terminal for this run: do not continue to precheck/submit when upload fails.
- Never submit when `row_count <= 0`.
- Do not fetch or parse `output_summary_url` automatically; only do it when user asks for detailed failure reason.
- After reaching terminal status (`completed`, `failed`, `partially_failed`), stop execution and return summary immediately.
## JSO...OpenClaw Skill for stock data analysis
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