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Install in OpenClaw
/install sentiment-priority-scorer
Description
Score normalized real-estate leads using sentiment, urgency, intent, recency, and record type to produce deterministic priority rankings and P1-P3 buckets. U...
Usage Guidance
This skill appears coherent and limited to scoring leads. Before installing, confirm how the agent will compute sentiment_score (ensure it does not call an external API or a third-party endpoint you don't control). Verify the upstream chain (e.g., india-location-normalizer) for any additional permissions or env requirements. Test with synthetic or redacted data to ensure no PII is leaked in logs or evidence strings, and confirm your Supervisor routing and enforcement actually blocks writes/sends as the SKILL.md requires.
Capability Analysis
Type: OpenClaw Skill
Name: sentiment-priority-scorer
Version: 1.0.2
The skill bundle is benign. The `SKILL.md` clearly defines the purpose of scoring real-estate leads and, critically, includes an 'Enforce Boundaries' section that explicitly prohibits writing to files/databases, sending messages, triggering outbound channels, creating reminders, or executing actions. These instructions act as strong guardrails against data exfiltration, persistence, or unauthorized actions, indicating a clear intent to operate within a safe, read-only computational scope. All other files (metadata, agent configuration, and JSON schemas) support this stated, non-malicious functionality without introducing any risky behaviors or prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the skill is an instruction-only scorer for leads and requests no binaries, env vars, or installs. All required inputs (lead fields) are appropriate for lead prioritization.
Instruction Scope
SKILL.md confines behavior to validating input, computing deterministic scores from provided fields and raw_text, producing evidence, and validating output. It explicitly forbids writes, sends, creating reminders, or bypassing Supervisor. The scoring formula and keyword boosts are narrowly scoped to lead text and metadata. Note: the skill does not prescribe a specific algorithm for deriving sentiment_score from raw_text (left to the agent), which is a functional detail rather than a security mismatch.
Install Mechanism
No install spec or code files — instruction-only skill (lowest installation risk). Nothing is downloaded or written to disk by the skill itself.
Credentials
No required environment variables, no credentials, and no config paths are declared. The requested input fields are limited to lead-related data and align with the stated purpose.
Persistence & Privilege
always:false and no elevated privileges requested. The skill also instructs not to write or send outbound data. Default autonomous invocation (disable-model-invocation:false) is allowed but not combined with other risky signals.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sentiment-priority-scorer - After installation, invoke the skill by name or use
/sentiment-priority-scorer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Align broker-group contracts: dataset_mode, record_type, and expanded summary/prioritization schemas.
v1.0.1
Added intent boost cues for immediate action listing language
v1.0.0
Sentiment Priority Scorer v1.0.0
- Introduced a deterministic scoring system for real-estate leads based on sentiment, urgency, intent, and recency.
- Normalizes leads into P1/P2/P3 priority buckets with transparent, plain-language evidence.
- Enforces strict boundaries: read-only, no outbound messaging, state mutation, or unsanctioned actions.
- Validates input and output schemas, and provides clear error handling for invalid or incomplete records.
- Recommended chain: india-location-normalizer → sentiment-priority-scorer → summary-generator.
Metadata
Frequently Asked Questions
What is Sentiment Priority Scorer?
Score normalized real-estate leads using sentiment, urgency, intent, recency, and record type to produce deterministic priority rankings and P1-P3 buckets. U... It is an AI Agent Skill for Claude Code / OpenClaw, with 619 downloads so far.
How do I install Sentiment Priority Scorer?
Run "/install sentiment-priority-scorer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sentiment Priority Scorer free?
Yes, Sentiment Priority Scorer is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Sentiment Priority Scorer support?
Sentiment Priority Scorer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sentiment Priority Scorer?
It is built and maintained by Vishal (@vishalgojha); the current version is v1.0.2.
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