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set-qualification-rules

Use when converting supplied ICP criteria, exclusions, consent requirements, or evidence standards into deterministic eligibility rules.

68

Quality

81%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

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

A well-structured, actionable instruction-only skill with a clear sequenced workflow and concrete output format. Main improvement area is adding an explicit validation feedback loop and a worked example to lift workflow clarity and actionability.

Suggestions

Add an explicit validate→fix→retry feedback loop in the Workflow or Quality check (e.g., re-run failed rules after correcting missing evidence) to strengthen validation for this decision-sensitive task.

Include one fully worked example record showing the ruleset and resulting ELIGIBLE/INELIGIBLE decision, rather than only a template table with placeholders.

De-duplicate the protected-trait guidance between Workflow step 1 and the Guardrails section to tighten conciseness.

DimensionReasoningScore

Conciseness

The body is efficient and assumes Claude's competence without explaining basic concepts; minor redundancy exists (protected-trait handling is restated across the workflow and Guardrails).

4 / 5

Actionability

It gives concrete, executable guidance — an output table schema, PASS/FAIL rule structure, and an ordered decision algorithm — with placeholders appropriate for a template, though no fully worked example record is shown.

4 / 5

Workflow Clarity

The seven-step workflow is clearly sequenced with hard-disqualifier-first ordering and a dedicated Quality check section as a validation checkpoint, but it lacks an explicit validate→fix→retry feedback loop for a decision-sensitive task.

4 / 5

Progressive Disclosure

Content is organized into clear, well-labeled sections in a single self-contained file with no bundle files needed; it slightly exceeds the simple-skill line count and has minor organization gaps in the dense guardrails block.

4 / 5

Total

16

/

20

Passed

Description

87%Weight 40%Scale 1-5

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 tight, well-constructed description that pairs an explicit 'Use when' trigger with a concrete, narrowly scoped capability and domain-specific keywords. Minor room to broaden trigger-term synonyms, but it cleanly answers what and when.

DimensionReasoningScore

Specificity

The description names a concrete transformation ('converting supplied ICP criteria, exclusions, consent requirements, or evidence standards into deterministic eligibility rules') and enumerates several specific input types, though it is essentially one action rather than a list of many.

4 / 5

Completeness

It explicitly answers both what ('converting ... into deterministic eligibility rules') and when ('Use when converting supplied ICP criteria ...') with concrete trigger phrases, matching the anchor 5 pattern.

5 / 5

Trigger Term Quality

It surfaces natural domain terms a user would say ('ICP criteria', 'exclusions', 'consent requirements', 'evidence standards', 'eligibility rules') with good coverage, missing only a few common synonyms.

4 / 5

Distinctiveness Conflict Risk

The niche — authoring deterministic eligibility rules from supplied criteria — is distinct with specific triggers and minimal overlap risk with neighboring skills.

5 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
llaskin/AI-SDR-Skill-Pack
Reviewed

Table of Contents

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