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Dialogflow Cx Conversations

v1.0.0

Manage conversations and sessions in Google Dialogflow CX via REST API. Use for testing intents, handling user interactions, and managing conversation state....

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byYash Kavaiya@yash-kavaiya
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
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Purpose & Capability
The name, description, SKILL.md, reference doc, and included CLI script all align: they implement Dialogflow CX session, detectIntent, matchIntent and test case operations. Minor inconsistency: the skill metadata lists no required env vars or primary credential, but the SKILL.md explicitly documents the need for Google credentials (gcloud auth or GOOGLE_APPLICATION_CREDENTIALS). This is expected for Dialogflow usage but the metadata omission is a bookkeeping gap.
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Instruction Scope
Runtime instructions are narrowly scoped to Dialogflow CX API calls (curl examples) and using the provided CLI wrapper. The SKILL.md instructs how to obtain a bearer token or use a service account; it does not instruct reading unrelated files, contacting unexpected endpoints, or exfiltrating data.
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Install Mechanism
No install spec is included (instruction-only). The Python script recommends installing google-cloud-dialogflow-cx and google-auth via pip, which is appropriate for the functionality. There are no downloads from unknown hosts or archive extraction steps.
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Credentials
The skill requires Google authentication (gcloud ADC or a service account JSON). That is proportionate to Dialogflow access. However, the skill metadata does not declare these env vars/credentials (e.g., GOOGLE_APPLICATION_CREDENTIALS or a TOKEN) — the SKILL.md documents them but the registry metadata omitted them, which could confuse non-technical users about what secrets are needed.
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Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system privileges. It does not modify other skills or agent-wide configs. Autonomous invocation remains allowed (platform default) but that is normal here and not otherwise concerning.
Assessment
This skill appears to do exactly what it claims: call Dialogflow CX APIs and provide a small CLI wrapper. Before installing, ensure you supply appropriate Google credentials (use a service account with least-privilege Dialogflow roles or gcloud ADC). Be aware the registry metadata doesn't list required env vars — follow SKILL.md to authenticate. If you plan to run the included Python script, install the recommended pip packages in a virtual environment and review the script to confirm it fits your usage and permission model. Avoid providing broad Google project credentials; prefer a service account scoped only to Dialogflow. If you require higher assurance, validate the code in scripts/conversations.py and test in a non-production project first.

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.
Termshttps://spdx.org/licenses/MIT-0.html

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