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disqualification-handling

Handles disqualified and near-miss inbound leads gracefully. Drafts polite rejection emails, referral requests (right company wrong person), and nurture routing (future fit). Ensures no inbound lead gets ignored and every disqualification preserves the relationship. Tool-agnostic.

59

Quality

68%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/sales/composites/disqualification-handling/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The body is highly actionable with a clear sequenced workflow and validation checkpoints. Its main weakness is progressive disclosure — everything lives inline in one long file — and mild verbosity in the template prose.

Suggestions

Move the four email template frameworks into a referenced file (e.g. templates.md) and keep only one compact example inline to reduce token load.

Tighten the bracketed placeholder prose in templates and drop explanations of obvious concepts (e.g., why a referral is warmer than cold outreach).

Consider extracting the edge-case section into a reference file so the core Step 1-3 flow reads as a lean overview.

DimensionReasoningScore

Conciseness

The body is detailed and mostly efficient, but ~375 lines with verbose bracketed-placeholder template prose and some obvious-context explanation could be tightened, so it sits at 'mostly efficient but could be tighter'.

2 / 3

Actionability

Provides fully concrete, copy-paste-ready template frameworks per category, a config JSON schema, routing tables, and explicit output formats — matching the 'fully executable / specific examples' anchor.

3 / 3

Workflow Clarity

A clear Step 1 (Categorize) → Step 2 (Draft) → Step 3 (Route) sequence with explicit validation checkpoints ('Draft ready for human review & send'), re-evaluation triggers, and feedback for error/edge cases.

3 / 3

Progressive Disclosure

Single monolithic file with no bundle references; all templates, edge cases, and output formats are inline rather than split into one-level-deep reference files, fitting the 'structure present but content that should be separate is inline' anchor.

2 / 3

Total

10

/

12

Passed

Description

60%

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

The description is specific and action-oriented but is missing any explicit 'Use when...' trigger guidance, which caps its completeness and trigger-term quality. It is distinguishable but could overlap with adjacent outreach skills.

Suggestions

Add an explicit trigger clause, e.g. 'Use when handling leads that failed ICP qualification, drafting rejection emails, or routing near-miss leads to nurture.'

Include natural phrasings a user would actually say ('what do we do with leads that didn't qualify', 'rejected leads', 'leads to nurture') to improve trigger-term coverage.

Tie the trigger to a concrete upstream event (e.g. 'after inbound-lead-qualification runs') to sharpen distinctiveness from general outreach skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Drafts polite rejection emails, referral requests (right company wrong person), and nurture routing (future fit)' — matching the 'multiple specific concrete actions' anchor.

3 / 3

Completeness

Clearly answers 'what' the skill does but omits any explicit 'when' trigger guidance; per guidelines a missing 'Use when...' clause caps completeness at 2.

2 / 3

Trigger Term Quality

Contains some relevant terms ('rejection emails', 'disqualified leads', 'near-miss') but lacks common natural variations and a 'Use when...' trigger clause, so coverage is partial rather than complete.

2 / 3

Distinctiveness Conflict Risk

The disqualification-handling niche is fairly specific but the broad 'tool-agnostic' outreach framing could overlap with general qualification or outreach skills.

2 / 3

Total

9

/

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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