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newsletter-signal-scanner

Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts. Parses incoming newsletter emails via AgentMail, matches against keyword campaigns, and delivers a weekly digest of actionable signals. Use when a marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading.

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/monitoring/composites/newsletter-signal-scanner/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%

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

A well-structured, self-contained skill with clear phases and templates, but it is held back by pseudocode in the core scan logic and an absence of validation checkpoints for a batch operation. Tightening the duplicated trigger sections would also improve token efficiency.

Suggestions

Replace the pseudocode scan block and the undefined 'extract_context' helper with concrete, executable code (e.g., real AgentMail SDK calls and a string-slice context extractor) so the core logic is copy-paste ready.

Add explicit validation checkpoints to the workflow — verify AGENTMAIL_API_KEY and inbox access before scanning, and handle the no-matches case with a clear fallback rather than silently producing an empty digest.

Merge the redundant 'When to Use' and 'Trigger Phrases' sections (and trim the low-value Cost table) to cut tokens without losing information.

DimensionReasoningScore

Conciseness

Mostly efficient with phases, a config schema, and templates, but padded by duplicate trigger-phrase sections ('When to Use' vs 'Trigger Phrases') and a cost table that adds little ('Depends on AgentMail pricing').

2 / 3

Actionability

Provides a config schema, a keyword-matching loop, and an output template, but the core scan leans on pseudocode — an undefined 'extract_context' helper, ad-hoc 'email.body'/'email.signal_matches' attributes, and a prose-described AgentMail fetch rather than executable code.

2 / 3

Workflow Clarity

Phases 0–5 give a clear sequence, but this batch newsletter-scan workflow lacks any validation or verification checkpoints (e.g., confirming the API key works, handling empty matches, recovering from API failures), which caps workflow clarity at 2 per the rubric.

2 / 3

Progressive Disclosure

A self-contained single-file skill with no bundle files and no nested references, organized into clear sections (phases, config, output, scheduling, cost, tools) — well-organized enough to score 3 without external file splitting.

3 / 3

Total

9

/

12

Passed

Description

85%

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 specific, third-person description that names concrete capabilities and includes an explicit 'Use when' clause, with a well-defined niche. The main weakness is trigger-term quality, which leans on a scenario phrasing rather than the natural keywords a user would actually say.

DimensionReasoningScore

Specificity

Enumerates multiple concrete actions — 'Subscribe to and scan', 'Parses incoming newsletter emails via AgentMail', 'matches against keyword campaigns', 'delivers a weekly digest' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Clearly answers both what (subscribe/scan/parse/match/deliver) and when via an explicit 'Use when a marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed' clause.

3 / 3

Trigger Term Quality

Includes some relevant keywords ('newsletters', 'competitor mentions', 'buying signals', 'weekly digest') but frames the trigger as a scenario rather than natural user phrasings, and misses common variations like 'monitor newsletters' or 'track competitors'.

2 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (newsletter signal intelligence via AgentMail plus keyword campaigns) with distinct triggers, making it unlikely to fire for the wrong skill.

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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