Badge Qualifier

v0.4.0

Qualify trade show leads from badge scans, booth notes, or voice memos into scored CRM-ready cards. "Score my booth leads" / "给展会线索打分" / "Leads qualifizieren...

1· 122·1 current·1 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name and description match the runtime instructions: the SKILL.md only asks the agent to normalize badge/notes/transcript input, extract explicit fields, score leads, and emit a structured card. There are no unexpected environment variables, binaries, or install steps.
Instruction Scope
Instructions are narrowly scoped to parsing user-provided badge text, notes, or transcripts and producing conservative qualification output. The skill explicitly forbids fabricating contact or need signals and instructs conservative inference. It does not direct the agent to read local files, environment variables, or send data to external endpoints. It references handing results to a separate 'post-show-followup' skill — that external integration is noted but not implemented here.
Install Mechanism
No install spec or code files are included; this is instruction-only. Nothing will be written to disk or downloaded as part of this skill.
Credentials
The skill requires no environment variables, credentials, or config paths. The data it processes may include PII (names, emails, phones), but requesting those fields is appropriate for the stated purpose.
Persistence & Privilege
The skill is not always-enabled and keeps no installation or persistent privileges. Autonomous invocation is allowed by platform default, but the skill itself does not request elevated or permanent presence.
Assessment
This skill appears coherent and limited to lead qualification. Before installing, consider: (1) privacy/regulatory handling of PII (emails, phone numbers, transcripts)—ensure you have consent and retention policies (GDPR, etc.); (2) confirm how results are used downstream — review the 'post-show-followup' skill or any automation that could send outreach so leads aren't messaged without human review; (3) test with non-production/sample data to validate the agent's conservative inference rules; and (4) if you plan to process voice transcripts, ensure transcription happens in a compliant way and that any external transcription service is vetted. Overall there are no red flags in the skill bundle itself.

Like a lobster shell, security has layers — review code before you run it.

latestvk971dfwdf4cc6cz02c0vesk7js840vzj

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Comments