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Dialogflow Cx Agents
v1.0.0Manage agents in Google Dialogflow CX via REST API. Use for creating, listing, updating, and deleting chatbot agents. Supports v3beta1 API.
⭐ 0· 308·0 current·0 all-time
byYash Kavaiya@yash-kavaiya
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name and description (Dialogflow CX agent management) align with the included scripts and SKILL.md. The Python CLI uses the google-cloud-dialogflow-cx client and exposes list/get/create/update/delete/export/validate operations — all expected for this purpose.
Instruction Scope
SKILL.md contains concrete curl examples and a CLI usage for the included script. It instructs using gcloud auth or a service account and to provide PROJECT_ID, LOCATION, AGENT_ID, or full agent names. It does not attempt to read unrelated system files or send data to non-Google endpoints. Note: SKILL.md references the environment variable GOOGLE_APPLICATION_CREDENTIALS and a TOKEN variable (from gcloud) — these are normal but are not declared in the registry metadata.
Install Mechanism
No install spec in registry; the script recommends installing standard PyPI packages (google-cloud-dialogflow-cx, google-auth) via pip. No downloads from unknown URLs or extraction of remote archives are present.
Credentials
The skill requires Google Cloud credentials to operate (gcloud auth / bearer token or GOOGLE_APPLICATION_CREDENTIALS pointing to a service account JSON). Those credentials are appropriate and necessary for Dialogflow management, but the registry metadata lists no required env vars — SKILL.md uses environment variables that the metadata did not declare.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does not modify other skills or system-wide settings. Exporting agents writes to a local file (as expected) or references a GCS URI, which is within scope.
Assessment
This skill appears to do only Dialogflow CX agent management. Before installing: (1) Be prepared to authenticate with gcloud or provide a service-account JSON (GOOGLE_APPLICATION_CREDENTIALS) — treat that JSON like sensitive credentials and use least-privilege roles. (2) Install the listed Python packages in an isolated environment (venv) so third-party libs don't affect system packages. (3) Review the included scripts locally if you want to verify behavior; exports write agent content to disk. (4) Note the registry metadata did not list the env vars referenced in SKILL.md (TOKEN and GOOGLE_APPLICATION_CREDENTIALS), so ensure you supply credentials only when you trust the runtime.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
