pricing-reference-frames
78Build Credible Pricing Anchors
Pricing copy can emphasize competitor discounts instead of the buyer's actual costs. This skill selects a credible reference frame and drafts quantified copy with bounded guarantees.
Score and Clean Prospect Lists
Duplicates, stale signals, and targeting mismatches waste outreach capacity. This skill guides CSV or JSONL list reviews with a weighted rubric, removal reasons, and prioritized cleanup recommendations.
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
Review the Skillstore skill "cold-email-list-quality" from https://skillstore.io/skills/cmj-hub-cold-email-list-quality.md and its manifest at https://skillstore.io/api/skills/cmj-hub-cold-email-list-quality/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
Usando "cold-email-list-quality". Illustrative review: a list includes duplicate emails, signals older than 30 days, and prospects outside configured role targets.
Resultado esperado:
Usando "cold-email-list-quality". Illustrative review: ICP rules target revenue leaders at Series A or Series B companies; rows include role accounts and plus-addresses.
Resultado esperado:
All 31 static findings are false positives: Markdown delimiters, fixed repository-relative paths, and list-quality terminology do not demonstrate the detected threats. No evidence found of credential theft, data exfiltration, prompt injection, or reconnaissance in the reviewed skill. The documented Python script is absent, so its execution safety cannot be assessed.
Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.
https://skillstore.io/skills/cmj-hub-cold-email-list-quality/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/cmj-hub-cold-email-list-quality?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/cmj-hub-cold-email-list-quality?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/cmj-hub-cold-email-list-quality/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/cmj-hub-cold-email-list-quality.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>cmj-hub. (2026). cold-email-list-quality security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/cmj-hub-cold-email-list-quality/audits/1@techreport{cmj-hub-cmj-hub-cold-email-list-quality-2026,
author = {cmj-hub},
title = {cold-email-list-quality security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/cmj-hub-cold-email-list-quality/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "cold-email-list-quality security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "cmj-hub"
date-released: "2026-10-03"
url: "https://skillstore.io/skills/cmj-hub-cold-email-list-quality/audits/1"
identifiers:
- type: other
value: "skillstore:cmj-hub-cold-email-list-quality:audit:1"
description: "Skillstore immutable audit report identifier"
Review an imported CSV or JSONL list for duplicates, address concerns, and records outside campaign requirements.
Review signal age, role fit, exclusions, and company stage before refreshing the weekly campaign list.
Compare supplied prospects with ideal customer profile rules and prioritize changes to targeting or list sourcing.
Review prospects.csv using the documented quality rubric. Report axis scores, removal candidates, and top fixes. State missing fields and avoid assuming mailbox deliverability.
Review prospects.csv for duplicate emails, LinkedIn URLs, and person-company matches. Keep the oldest email record and newest LinkedIn signal. Flag near-duplicates for review.
Score prospects.csv against brand-config.json. Check roles, exclusions, signal dates, address heuristics, and inferred company stages. Explain assumptions and separate warnings from removal recommendations.
Audit prospects.jsonl using brand-config.json and supplied warm-up status. Report scores, cleanup priorities, and send-volume arithmetic. Preserve the original. Write reviewed cleaned and removed CSV files.
Autor
cmj-hubLicencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
423e93f4118301bf3ae5fc40f25942fc4c591e60
Actualidad del mantenimiento
3/10/2026
Uso
0 descargas · 0 vistas
Estructura de archivos
📄 SKILL.md
Build Credible Pricing Anchors
Pricing copy can emphasize competitor discounts instead of the buyer's actual costs. This skill selects a credible reference frame and drafts quantified copy with bounded guarantees.
Record a Single-URL Indexability Check
A page needs fetchability and listing evidence before its citation potential can be assessed. This skill organizes a single-URL checklist covering status, robots, sitemap, and scoring validation.
Craft Signal-Anchored Cold Emails
Generic outreach is easy to ignore and difficult to validate. This skill turns a recent public signal into concise, specific outreach with a binary call to action.
Build Evidence-Based Pain Signal Profiles
Broad customer segments and generic messaging make operational pain difficult to identify. This skill guides structured research linking recent signals, pain, timing, roles, and recipient vocabulary.
Choose a Value Metric That Scales
Many B2B companies charge by a unit that does not track customer success, creating margin leakage, gaming, or expansion limits. This skill compares pricing units against four criteria and recommends a defensible hold or metric shift.
Write Stronger Founder LinkedIn Posts
Founders often have useful experience but struggle to turn it into specific, credible LinkedIn posts. This skill structures one post around a clear pillar, hook, receipt, and founder voice.
Limpiar datos desordenados con un pipeline
por zhangchenlai-dev
Los conjuntos de datos desordenados ralentizan el análisis y generan resultados poco fiables. Esta skill ayuda a Claude, Codex y Claude Code a planificar pasos de limpieza para deduplicación, valores faltantes, formato y comprobaciones de anomalías.
Transforma arreglos de datos con operaciones reutilizables
por ArtemisAI
Los arreglos grandes de registros son difíciles de limpiar, ordenar y resumir dentro de flujos de trabajo de IA. Esta skill proporciona operaciones JavaScript reutilizables para transformaciones comunes y resúmenes compactos de procesamiento.
Analizar datos con SQL y pandas
por shubhamsaboo
El trabajo con datos suele requerir consultas claras, transformaciones repetibles e interpretación cuidadosa. Esta skill guía flujos de trabajo de SQL, pandas, estadística y limpieza de datos.
Inspect Collections for Safe Deduplication
por srinitude
Duplicate cleanup can remove unique information when identity rules are unclear. This skill creates evidence-rich reports and gates every mutation behind explicit review.
Procesar archivos CSV con flujos de trabajo de limpieza de datos
por CuriousLearner
Los archivos CSV suelen contener formatos inconsistentes, valores faltantes, duplicados y grandes conjuntos de datos. Esta habilidad proporciona flujos de trabajo prácticos para analizar, limpiar, transformar, combinar y analizar datos CSV.
Analyze WebAsk Lead Quality
por webaskio
Survey completion counts can hide missing or unusable contact details. This skill guides assistants through WebAsk reports to assess contact quality, compare channels, and prioritize improvements.