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Lead Scorer

skill-koinod-koino-skills-lead-scorer · by koinod

Score and prioritize your leads with AI

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Install

$ agentstack add skill-koinod-koino-skills-lead-scorer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

AI Lead Scorer

Score any lead 0-100 and get a clear action plan. Stop guessing which leads to call first -- let data and pattern matching decide.

Usage

Provide lead information in any format. The more you provide, the better the score:

Required Fields

| Field | Example | |-------|---------| | Lead Name | "Marcus Webb" | | Company | "TerraForce Industrial" | | Source | "Inbound -- downloaded pricing PDF" |

Optional Fields (improve accuracy)

| Field | Example | |-------|---------| | Title/Role | "Director of Operations" | | Company Size | "85 employees, ~$12M revenue" | | Industry | "Industrial equipment manufacturing" | | Interaction History | "Opened 3 emails, attended webinar, asked about pricing" | | Budget Signals | "Mentioned Q2 budget approval" | | Timeline | "Looking to implement by June" | | Pain Points | "Current system requires manual data entry across 4 platforms" | | Competition | "Currently evaluating us and 2 competitors" | | Notes | "Referred by existing client. Seemed frustrated with current vendor." |


Scoring Framework

Category Weights (default)

| Category | Weight | What It Measures | |----------|--------|-----------------| | Fit | 30% | How well do they match your ideal customer? | | Intent | 25% | How much buying behavior have they shown? | | Authority | 20% | Can this person actually make or influence the decision? | | Timing | 15% | Is there urgency or a deadline driving them? | | Engagement | 10% | How actively are they interacting with you? |

You can customize these weights. Just specify your preferred weights and they'll be applied.

Fit Score (0-30 points)

| Signal | Points | |--------|--------| | Company size matches ICP | +5-10 | | Industry is in your sweet spot | +5-10 | | They have the problem you solve | +5-10 | | Geography/market alignment | +2-5 | | Tech stack compatibility (if relevant) | +2-5 | | Revenue range matches your pricing | +3-5 |

Deductions: | Signal | Points | |--------|--------| | Company too small for your pricing | -5 to -10 | | Industry you've never served | -3 to -5 | | No clear problem match | -5 to -10 |

Intent Score (0-25 points)

| Signal | Points | |--------|--------| | Requested pricing/proposal | +10-15 | | Mentioned specific timeline | +5-10 | | Compared you to competitors (means they're shopping) | +5-8 | | Asked detailed product/service questions | +5-8 | | Downloaded bottom-of-funnel content | +3-5 | | Visited pricing page (if tracked) | +3-5 | | Mentioned budget availability | +5-10 |

Deductions: | Signal | Points | |--------|--------| | "Just researching" with no timeline | -5 to -10 | | Only engaged with top-of-funnel content | -3 to -5 | | Ghosted after initial contact | -5 to -8 |

Authority Score (0-20 points)

| Signal | Points | |--------|--------| | C-suite or business owner | +15-20 | | VP or Director level | +10-15 | | Manager with budget authority | +8-12 | | Individual contributor (but champion) | +5-8 | | Explicitly said "I make this decision" | +5 bonus | | Mentioned needing board/committee approval | -3 to -5 | | Intern or junior role | -5 to -10 |

Timing Score (0-15 points)

| Signal | Points | |--------|--------| | Actively in buying process NOW | +12-15 | | Deadline mentioned (contract renewal, fiscal year, event) | +8-12 | | "Next quarter" | +5-8 | | "Sometime this year" | +3-5 | | No timeline mentioned | +1-2 | | "Maybe next year" | 0 |

Engagement Score (0-10 points)

| Signal | Points | |--------|--------| | Responded within 24 hours | +3-5 | | Multiple touchpoints (email + call + event) | +3-5 | | Referred by existing customer | +5 (max) | | Engaged with 3+ pieces of content | +2-4 | | Single interaction only | +1-2 | | Has not responded to outreach | 0-1 |


Output Format

For each lead, deliver:

1. Score Summary

LEAD: [Name] at [Company]
SCORE: [X]/100
CATEGORY: [HOT / WARM / COLD]
CONFIDENCE: [HIGH / MEDIUM / LOW] (based on how much info was provided)

Category thresholds:

  • HOT (75-100): Contact within 24 hours. High fit, strong intent, decision-maker, urgent timeline.
  • WARM (40-74): Nurture actively. Good potential but missing one or more key signals.
  • COLD (0-39): Low priority. Add to nurture sequence but don't spend active selling time.

2. Score Breakdown

Fit:        [X]/30  -- [1-sentence explanation]
Intent:     [X]/25  -- [1-sentence explanation]
Authority:  [X]/20  -- [1-sentence explanation]
Timing:     [X]/15  -- [1-sentence explanation]
Engagement: [X]/10  -- [1-sentence explanation]

3. Key Signals

List the top 3 positive signals and top 3 risk factors:

Positive:

  • [Signal 1]
  • [Signal 2]
  • [Signal 3]

Risk Factors:

  • [Risk 1]
  • [Risk 2]
  • [Risk 3]

4. Action Brief

Based on the score, provide a specific action plan:

For HOT leads:

  • Recommended next step (specific, not generic)
  • Talking points tailored to their pain points
  • Potential objections to prepare for
  • Suggested timeline for follow-up

For WARM leads:

  • What information is missing that would upgrade them to HOT
  • Specific nurture actions (content to send, questions to ask)
  • Trigger events to watch for
  • Re-score date recommendation

For COLD leads:

  • Why they scored low (honest assessment)
  • Whether they're worth keeping in the pipeline at all
  • Automated nurture recommendation
  • Conditions that would trigger re-evaluation

Batch Scoring

You can score multiple leads at once. Provide a list and receive:

  1. Individual scores for each lead
  2. A priority ranking (sorted by score, descending)
  3. A pipeline summary:
  • Total leads scored
  • HOT / WARM / COLD distribution
  • Average score
  • Top 3 leads to contact TODAY

Customization

Custom ICP Definition

If you provide your Ideal Customer Profile, scoring becomes dramatically more accurate:

My ICP:
- Industry: [e.g., "B2B SaaS, $5M-$50M ARR"]
- Company size: [e.g., "50-500 employees"]
- Decision maker: [e.g., "VP Sales or CRO"]
- Budget range: [e.g., "$2K-$10K/month"]
- Key pain: [e.g., "Manual reporting takes 20+ hours/week"]
- Disqualifiers: [e.g., "Under $1M revenue, no dedicated sales team"]

Custom Weight Adjustment

Override default weights for your sales motion:

  • High-ticket enterprise: Increase Authority to 30%, reduce Engagement to 5%
  • Self-serve product: Increase Intent to 35%, reduce Authority to 10%
  • Referral-heavy business: Increase Engagement to 20%, reduce Timing to 10%

Scoring Accuracy Tips

  1. More data = better scores. A lead with just a name and company will get a LOW confidence score. That's honest, not a bug.
  2. Re-score after new interactions. A WARM lead who requests pricing should be re-scored immediately.
  3. Calibrate to your close rate. If your HOT leads aren't closing at 30%+, your scoring weights need adjustment.
  4. Don't ignore COLD leads entirely. 10% of today's COLD leads become next quarter's HOT leads. Automate nurture, don't delete.
  5. Trust the risks section. If the score is high but the risks are serious, investigate before investing heavy time.

Powered by KOINO Capital -- AI systems that fill your pipeline and close your deals.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.