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social-graph-ranker

Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.

70

Quality

86%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

72%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-structured, mathematically concrete ranking model with a clear output template. Its main weaknesses are overlapping trigger sections that add tokens and a workflow lacking verification checkpoints.

Suggestions

Collapse the three overlapping trigger sections ('Use this when the user needs to', 'When To Use This Standalone', 'Do not use this by itself when') into one concise decision block to remove redundancy with the description and save tokens.

Add a validation/check verification step to the Workflow (e.g., sanity-check that every Tier 1 mutual has at least one viable bridge path before returning results) to lift workflow clarity.

Include one short worked numeric example showing R(m) computed for a sample mutual so the model's behavior is unambiguous end-to-end.

DimensionReasoningScore

Conciseness

Mostly efficient and assumes Claude's competence (math notation without explaining graphs), but three overlapping trigger sections ('Use this when the user needs to', 'When To Use This Standalone', 'Do not use this by itself when') partly duplicate the description and each other and could be tightened.

2 / 3

Actionability

Provides precise, implementable formulas (B(m), B_ext(m), R(m)) with defined variables and default constants (λ=0.5, α=0.3, β=0.2) plus a concrete output-shape template — copy-paste ready for an instruction/model skill.

3 / 3

Workflow Clarity

The six-step Workflow is clearly sequenced, but there are no validation or verification checkpoints; the anchor for 'sequence present but checkpoints missing' fits, and the operation is non-destructive so the hard cap does not apply but the gap remains.

2 / 3

Progressive Disclosure

Self-contained single file with well-organized sections (Inputs, Core Model, Scoring Signals, Workflow, Output Shape, Related Skills), no nested bundle references, and no bundle files to navigate — well-structured for a self-contained skill.

3 / 3

Total

10

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12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: third-person voice, concrete actions, explicit Use-when trigger, and clear differentiation from adjacent skills. It avoids vague fluff and over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn' — matching the anchor for several specific concrete actions.

3 / 3

Completeness

Explicitly answers both what ('Weighted social-graph ranking for...') and when ('Use when the user wants the reusable graph-ranking engine itself...'), satisfying the explicit-trigger requirement.

3 / 3

Trigger Term Quality

Covers natural domain terms a user would say ('warm intro', 'X and LinkedIn', 'network gap analysis', 'graph-ranking engine') with good breadth; not reduced because terms are domain-appropriate rather than generic.

3 / 3

Distinctiveness Conflict Risk

The negative trigger ('not the broader outreach or network-maintenance workflow layered on top of it') carves a clear niche distinct from sibling skills, making mis-triggering unlikely.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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