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signals-scout-data-warehouse

Signals scout for warehouse imports. Watches external data sources, sync schemas, webhook push channels, and materialized views for failures, silent staleness, and row-volume cliffs, and suggests materialization candidates from recurring query-log hot spots.

62

Quality

78%

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tessl review fix ./products/signals/skills/signals-scout-data-warehouse/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%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 exceptionally actionable with executable SQL templates and a clearly sequenced, validated workflow. Its main weaknesses are conciseness (some repetition of the core discriminator) and progressive disclosure (a large monolithic file with no external reference split).

Suggestions

Extract the optimization-lane SQL probes and footguns into a references file (e.g., OPTIMIZATION.md) referenced one level deep, leaving SKILL.md as an overview.

Dedupe the 'configured-to-sync vs actually-syncing' discriminator, which appears in the intro, Explore, and Disqualifiers — state it once and reference it.

Move the MCP tools catalog into a separate references file to reduce SKILL.md token load.

DimensionReasoningScore

Conciseness

Highly dense with load-bearing specifics and no padding of concepts Claude already knows, but the core discriminator and several optimization-lane footguns are restated across the intro, Explore, and Disqualifiers sections, so it could be tightened.

3 / 5

Actionability

Fully executable — complete copy-paste SQL templates with exact filters, concrete tool calls with arguments, exact scratchpad key formats, priority mappings, and specific error-class to root-cause mappings covering the common cases.

5 / 5

Workflow Clarity

Clear sequenced run workflow (orient → profile → explore → save memory → decide → close out) with explicit validation checkpoints, edit-vs-author decision rails, 7-day/≥3-active-day recheck loops, and explicit stop criteria.

5 / 5

Progressive Disclosure

No bundle files exist and the file has good internal section headers, but the optimization-lane SQL probes, footguns, and MCP tools reference are inlined in one monolithic SKILL.md rather than split into one-level-deep reference files.

3 / 5

Total

16

/

20

Passed

Description

71%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 well-scoped to warehouse import integrity, but it lacks an explicit 'Use when...' trigger clause, which caps its completeness. Trigger terms are strong but skew technical.

Suggestions

Add an explicit 'Use when...' clause naming natural trigger phrases (e.g., 'Use when monitoring data warehouse import freshness, investigating stale synced tables, or auditing webhook push channels').

Soften jargon with one or two common synonyms so a non-specialist could trigger it (e.g., 'data warehouse imports' alongside 'sync schemas').

DimensionReasoningScore

Specificity

Names the warehouse-import domain and lists multiple concrete actions — watching external data sources, sync schemas, webhook channels, and materialized views for failures, silent staleness, and row-volume cliffs, plus suggesting materialization candidates from query-log hot spots — giving comprehensive coverage.

5 / 5

Completeness

The 'what' is clear, but there is no 'Use when...' clause or equivalent explicit trigger guidance, which per the rubric caps completeness at 3.

3 / 5

Trigger Term Quality

Good keyword coverage with domain-natural terms (warehouse imports, sync schemas, webhook push channels, materialized views, staleness), but leans technical and lacks common synonym variations a casual user would say.

4 / 5

Distinctiveness Conflict Risk

'Signals scout for warehouse imports' with a specific CDC/webhook/materialized-view/query-log scope carves a clear niche with only minor overlap risk against sibling data-pipeline scouts.

4 / 5

Total

16

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository

PostHog/posthog

Path

products/signals/skills/signals-scout-data-warehouse/SKILL.md

Reviewed

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