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expansion-signal-spotter

Monitor existing customer accounts for upsell and cross-sell signals: team growth on LinkedIn, new job postings, product usage patterns, funding announcements, and public company news. Produces a weekly expansion opportunity list with context and talk tracks. Chains web search, LinkedIn profile monitoring, and job posting detection.

62

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/sales/composites/expansion-signal-spotter/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%

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

The skill body is highly actionable, with concrete search strings, a scoring formula, and complete output templates, and its phase sequence is clear. It loses points for marketing prose and duplicated trigger phrases, missing signal-verification checkpoints in a batch scan, and a monolithic structure with no progressive disclosure.

Suggestions

Add a verification/dedup checkpoint between Phase 1 (detection) and Phase 2 (scoring) so noisy or false-positive web-search signals are confirmed before being scored.

Remove the marketing intro and the redundant "Trigger Phrases" section (it duplicates "When to Use") to tighten the token budget.

Move the detailed per-signal tables and/or the full report output template into reference files (e.g. references/signal-catalog.md, references/output-format.md) with clearly signaled one-level-deep links from SKILL.md.

DimensionReasoningScore

Conciseness

The body is mostly dense, actionable tables and templates, but it opens with marketing prose ("Find expansion revenue hiding in your existing customer base… before a competitor gets there first") and the closing "Trigger Phrases" section duplicates the "When to Use" list, so it could be tightened.

2 / 3

Actionability

Provides copy-paste-ready search strings, an explicit Expansion Score formula with multipliers, and a fully specified talk-track and report output template — concrete and executable guidance throughout.

3 / 3

Workflow Clarity

Phases 0→1→2→3→4 are clearly sequenced, but this batch account scan has no signal-verification or dedup checkpoint (search results are noisy and prone to false positives), which caps workflow clarity at 2 for a batch operation.

2 / 3

Progressive Disclosure

The ~270-line body is well-sectioned into phases but is entirely monolithic with no bundle/reference files; content such as the detailed signal tables and the full output template could be split into separate reference files with clearly signaled links.

2 / 3

Total

9

/

12

Passed

Description

82%

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, third-person, and well-targeted to a distinct niche with natural trigger terms. Its main weakness is the absence of an explicit "Use when…" trigger clause, which leaves the "when to use" half of completeness only implied.

Suggestions

Add an explicit trigger clause, e.g. "Use when looking for upsell/cross-sell opportunities in existing customer accounts, running a weekly expansion signal scan, or deciding which accounts to pitch a higher tier to."

DimensionReasoningScore

Specificity

Lists multiple concrete actions: "Monitor existing customer accounts for upsell and cross-sell signals: team growth on LinkedIn, new job postings, product usage patterns, funding announcements" and "Produces a weekly expansion opportunity list with context and talk tracks."

3 / 3

Completeness

Clearly answers "what" it does, but there is no "Use when…" clause or equivalent explicit trigger guidance, which caps completeness at 2 per the rubric guidelines.

2 / 3

Trigger Term Quality

Uses natural domain terms a CS/sales user would say — "upsell and cross-sell signals", "expansion opportunity list", "funding announcements", "team growth" — with good coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (expansion/upsell monitoring of existing accounts) with distinct triggers; unlikely to fire for unrelated skills.

3 / 3

Total

11

/

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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