المهارات cold-email-list-quality
📦
cold-email-list-quality
مراجعة المحتوى r1 آمن ⚙️ الأوامر الخارجية📁 الوصول إلى نظام الملفات
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.
يدعم: Claude Codex Code(CC)
التثبيت باستخدام Agent لدي
انسخ هذا الطلب إلى Agent لديك. يتضمن صفحة Skill المعتمدة وملف manifest.
طلب الوكيل
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.يجب أن يواصل Agent عرض خطته وطلب أي تأكيد تفرضه سياسة الأمان.
موارد مهيّأة لـ Agents
استخدم هذه الروابط عندما يحتاج AI Agent أو crawler أو script إلى سياق نظيف بدلًا من قراءة الصفحة كاملة.
اختبرها
جارٍ استخدام "cold-email-list-quality". Illustrative review: a list includes duplicate emails, signals older than 30 days, and prospects outside configured role targets.
النتيجة المتوقعة:
- Illustrative score: 72/100. Deduplication: 16/20; role fit: 18/25; freshness: 10/20; address heuristics: 12/15; exclusions: 8/10; company stage: 8/10.
- Keep the oldest record for each duplicate email. Review near-duplicates manually.
- Refresh stale signals and review prospects outside role targets before import. Mailbox deliverability remains unverified.
جارٍ استخدام "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.
النتيجة المتوقعة:
- Flag role-account addresses for removal under the documented B2B heuristic.
- Warn on plus-addresses without claiming they are invalid mailboxes.
- Compare inferred funding stages and revenue roles with the configured targets. Report uncertain company stages for review.
التدقيق الأمني
آمنv1 • ٣/١٠/٢٠٢٦ فتح التقرير المرتبط بالإصدار
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.
1
الملفات التي تم فحصها
161
الأسطر التي تم تحليلها
0
عناصر المراجعة
0
تم تجاهل الإيجابيات الكاذبة
عوامل الخطر
⚙️ الأوامر الخارجية (26)
SKILL.md:20 SKILL.md:27 SKILL.md:28 SKILL.md:31 SKILL.md:32 SKILL.md:33 SKILL.md:40 SKILL.md:43 SKILL.md:48-79 SKILL.md:79-86 SKILL.md:86-92 SKILL.md:92 SKILL.md:95-101 SKILL.md:101-102 SKILL.md:102-106 SKILL.md:106 SKILL.md:114-122 SKILL.md:122 SKILL.md:130-142 SKILL.md:142-145 SKILL.md:145-150 SKILL.md:150-152 SKILL.md:152-157 SKILL.md:157-158 SKILL.md:158-159 SKILL.md:159-160
📁 الوصول إلى نظام الملفات (3)
لم يكتشف أحدث تدقيق ثابت ودلالي مكتمل أي نتائج أمنية مؤكدة. ولا يثبت ذلك أن المهارة خالية من الآثار الجانبية.
دقّقه: codex
شارك واستشهد بهذا التقرير
شارك تقرير التقييم المرتبط بالإصدار والشارة المحايدة وبطاقة التضمين والاستشهادات. تعرض Skillstore الأدلة من دون أن تقرر ما إذا كانت هذه المهارة آمنة.
نسخ رابط التقرير
https://skillstore.io/skills/cmj-hub-cold-email-list-quality/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportشارة Markdown
[](https://skillstore.io/skills/cmj-hub-cold-email-list-quality?utm_source=security_passport_badge)شارة HTML
<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>بطاقة قابلة للتضمين
<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>الاستشهادات الأكاديمية (APA · BibTeX · CFF)
اقتباس APA
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/1اقتباس BibTeX
@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}
}CITATION.cff
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"
تقييم Skillstore
سبب هذا التقييم موثوقية الأدلة: متوسط 55
الهندسة المعمارية
85
قابلية الصيانة
87
المحتوى
65
المجتمع
83
الامتثال للمواصفات
ما الذي يمكنك بناؤه
Prepare a New Prospect List
Review an imported CSV or JSONL list for duplicates, address concerns, and records outside campaign requirements.
Refresh Weekly Outreach Data
Review signal age, role fit, exclusions, and company stage before refreshing the weekly campaign list.
Audit ICP Alignment
Compare supplied prospects with ideal customer profile rules and prioritize changes to targeting or list sourcing.
جرّب هذه الموجّهات
Score My List
Review prospects.csv using the documented quality rubric. Report axis scores, removal candidates, and top fixes. State missing fields and avoid assuming mailbox deliverability.
Find Duplicate Records
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.
Apply ICP Rules
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.
Prepare a Campaign List
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.
أفضل الممارسات
- Provide current ICP configuration, dated signals, and complete prospect fields; identify missing information before accepting scores.
- Preserve the original list and review removal reasons and output destinations before writing cleaned files.
- Confirm mailbox deliverability separately and refresh stale signals before campaign import.
تجنب
- Treating a high quality score as proof of deliverability or permission to contact prospects.
- Executing the documented Python example when the referenced scoring script is absent.
- Automatically deleting near-duplicates or treating plus-address warnings as proof of invalid mailboxes.
الأسئلة المتكررة
Which file formats are supported?
The instructions cover CSV and JSONL. Email is the minimum field; roles, companies, signals, dates, and LinkedIn URLs enable more checks.
What does the score measure?
Weights are deduplication 20, role fit 25, freshness 20, address heuristics 15, exclusions 10, and company stage 10.
Does this skill verify email deliverability?
No. It checks address shape, domain categories, role accounts, and plus-address patterns. It does not confirm mailbox existence.
Can it use my ICP rules?
Yes. Supplied brand configuration provides role targets, exclusions, segment information, and signal anchors. Missing fields limit targeting confidence.
Is the scoring script included?
No. The release note defers the deterministic script to a future release. Current scoring follows instructions interpreted by the assistant.
What outputs should I expect?
Expect scores, removal reasons, and prioritized fixes. The workflow specifies cleaned and removed CSV files for review; it does not send messages.