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funding-signal-monitor

Monitor web sources for Series A-C funding announcements. Aggregates signals from TechCrunch, Crunchbase (via web search), Twitter, Hacker News, and LinkedIn. Filters by stage, amount, and industry. Returns qualified recently-funded companies ready for outreach.

59

Quality

69%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/monitoring/composites/funding-signal-monitor/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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.

The body is highly actionable with concrete commands and an explicit scoring rubric, and is well structured with a real bundled helper script. Its main weaknesses are mild over-explanation of general concepts and the absence of validation checkpoints in a batch workflow.

Suggestions

Add an explicit validation/verification step in Phase 3 or 4 (e.g. verify each company against a second source before ranking, and flag unverified entries).

Trim the 'Why This Works' section and the Twitter narrative aside to reduce tokens spent on concepts Claude already knows.

Note which referenced source scripts (twitter/hacker-news/reddit) are external skills vs. bundled, so navigation expectations are clear.

DimensionReasoningScore

Conciseness

Mostly efficient with concrete tables and code blocks, but sections like 'Why This Works' and asides such as 'Funding announcements often break on Twitter first. Founders post excited to announce...' explain context Claude already knows and could be trimmed.

3 / 5

Actionability

Provides copy-paste-ready bash commands, a parameter table, an explicit point-based scoring rubric, and a real bundled helper script covering the common cases — fully executable.

5 / 5

Workflow Clarity

The four-phase sequence is clear, but this batch lead-generation operation has no validation or verification checkpoint (e.g. confirm results before output, dedup-verify loop), so per the feedback-loops guidance workflow clarity caps at 3.

3 / 5

Progressive Disclosure

Well-organized sections with a one-level-deep bundled script (skills/funding-signal-monitor/scripts/search_funding.py exists), though several referenced external skills (twitter-mention-tracker, hacker-news-scraper, reddit-post-finder) are not part of this bundle, leaving minor navigation gaps.

4 / 5

Total

15

/

20

Passed

Description

70%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.

The description is specific and distinct with concrete actions and natural trigger terms, but it omits an explicit 'Use when' guidance clause, capping completeness at 3. Adding a trigger phrase would lift it into the top band.

Suggestions

Append an explicit 'Use when...' clause, e.g. 'Use when sourcing sales leads from companies that recently raised Series A-C funding.'

Add a few common synonyms users might say, such as 'raised a round', 'startup funding', or 'recently funded startups'.

Clarify the output form (e.g. 'returns a ranked markdown list') to make the 'what' fully concrete.

DimensionReasoningScore

Specificity

Lists several concrete actions — 'Monitor web sources', 'Aggregates signals', 'Filters by stage, amount, and industry', 'Returns qualified recently-funded companies' — with only minor coverage gaps, matching the 'several specific actions' anchor.

4 / 5

Completeness

The description gives a clear 'what' but lacks any explicit 'Use when...' trigger clause, so per the missing-trigger guidance completeness caps at 3 even though the what is well stated.

3 / 5

Trigger Term Quality

Includes natural terms a user would say — 'Series A-C funding announcements', 'recently-funded companies', and named sources — but misses common synonyms like 'raised a round' or 'startup funding', placing it just below the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche — Series A-C funding announcements as buying signals — with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

16

/

20

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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