MoDora#

Use this skill to work with a deployed MoDora service over HTTP.

This skill is for external skill access, not for the logged-in MoDora web UI.

Security Model#

This skill uses a local settings.json only for non-secret pipeline routing. Credential values come from environment variables declared in metadata.openclaw.

The skill sends documents and questions to a remote MoDora service, and that trust boundary is still real. For non-local endpoints, the skill requires HTTPS.

Only use this skill if you trust the operator of the target MoDora server. If you do not trust that server, do not use this skill and deploy MoDora locally instead.

This skill is appropriate when the user wants to:

• upload a PDF to MoDora
• wait for document preprocessing to complete
• ask questions about one uploaded document
• verify that the public MoDora service is reachable

This skill assumes the MoDora backend is exposed as an HTTP base URL. Set MODORA_BASE_URL before running scripts. For public endpoints, use https://. Example:

bash

export MODORA_BASE_URL="https://api.modora.pro"
export MODORA_USER_API_KEY="sk-..."
export MODORA_USER_ENDPOINT="https://api.openai.com/v1"
export MODORA_USER_MODEL="gpt-4o"

If MODORA_BASE_URL is unset, scripts default to https://api.modora.pro.

The scripts are implemented in Python so they work across Linux, macOS, Windows, and WSL as long as python3 is available.

Skill access is separate from the logged-in frontend:

• skill requests send X-Modora-Client: skill
• skill requests do not use the frontend login session
• skill requests must provide a user-owned non-secret settings JSON file
• skill requests cannot use server default model instance IDs such as local-default or remote-default
• if the user does not provide a valid settings file, the skill must stop instead of falling back to server defaults
• skill credentials are provided through environment variables, not through the settings file
• skill scripts require explicit acknowledgement before contacting the remote MoDora service

Required settings file#

Every skill invocation that uploads a document or asks a question must provide a user-owned settings.json.

Start from skill/settings.template.json and fill in the pipeline routing values.

The settings file must:

• be provided by the skill user, not copied from the server UI defaults
• include pipelines.<module>.modelInstance for each pipeline module
• avoid secret fields such as api_key, base_url, Authorization, or token values
• avoid server default model instance IDs such as local-default and remote-default
• use multimodal-capable model instances for the MoDora pipeline

Credentials must be supplied through:

• MODORA_USER_API_KEY
• MODORA_USER_ENDPOINT
• MODORA_USER_MODEL

MoDora requires multimodal models. Do not choose text-only models for OCR-adjacent reasoning, enrichment, retrieval, metadata generation, or QA.

If the user does not provide this file, stop and report the requirement. Do not continue with upload or QA.

Preferred workflow#

1. Prepare a settings.json file owned by the skill user. A good starting point is skill/settings.template.json.
2. Run python skill/scripts/health.py to verify the backend is alive.
3. Export MODORA_USER_API_KEY, MODORA_USER_ENDPOINT, and MODORA_USER_MODEL.
4. Confirm that you trust the remote MoDora service operator and explicitly allow remote access.
5. Run python skill/scripts/upload.py /absolute/path/to/file.pdf --settings-file /path/to/settings.json --allow-remote-credentials to upload a document.
6. Run python skill/scripts/wait.py <filename> until processing reaches completed.
7. Run python skill/scripts/chat.py <filename> "<question>" --settings-file /path/to/settings.json --allow-remote-credentials to ask a question.

For the common one-shot flow, prefer:

bash

python skill/scripts/analyze_pdf.py /absolute/path/to/file.pdf "Your question" --settings-file /path/to/settings.json --allow-remote-credentials

Rules#

• Always use an absolute file path when uploading.
• Always provide a user-owned non-secret settings JSON file.
• Always provide credentials through declared environment variables instead of the settings file.
• Explicitly confirm remote service access before running upload or chat commands.
• Never fall back to server-side defaults when the settings file is missing.
• Do not call chat.py before the task status becomes completed.
• Do not use server default model instance IDs such as local-default or remote-default.
• Use multimodal-capable model instances across the MoDora pipeline.
• If the backend returns an error, surface the response body instead of hiding it.
• If the service is unreachable, tell the user the MoDora public backend is not available.
• If the user supplies a different service URL, set MODORA_BASE_URL for that command.
• For non-local endpoints, require https://.

Script summary#

• scripts/health.py: GET /health
• scripts/upload.py: POST /api/upload after explicit remote credential acknowledgement
• scripts/wait.py: poll GET /api/task/status/{filename}
• scripts/chat.py: POST /api/chat after explicit remote credential acknowledgement
• scripts/analyze_pdf.py: health -> upload -> wait -> chat with explicit remote credential acknowledgement