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bls-query

Queries U.S. Bureau of Labor Statistics data using the BLS MCP server. Use when user asks about CPI, inflation, unemployment, employment, wages, jobs, labor statistics, producer prices, or any economic indicator tracked by BLS. Maps natural language to correct series IDs and tools. Copied from https://github.com/larasrinath/bls_mcp

80

Quality

100%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

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 well-structured and actionable: it gives a sequenced workflow, concrete tool/series references, error-handling fallbacks, and cleanly offloads the detailed series catalog to a single referenced file. It assumes Claude's competence and avoids restating background knowledge.

DimensionReasoningScore

Conciseness

The body is lean: a four-step workflow plus two compact tables, with no padding explaining what BLS or CPI are; every section earns its tokens.

3 / 3

Actionability

Names exact tools (get_latest_series, get_single_series, etc.) and exact series IDs, and maps user intent to a specific tool in a table — concrete, copy-ready guidance rather than abstract description.

3 / 3

Workflow Clarity

A clear Identify → Choose tool → Interpret → Handle-unknowns sequence with an explicit error-recovery loop (get_all_surveys → get_popular_series → ask the user) and 'Do NOT guess a series ID' guardrail.

3 / 3

Progressive Disclosure

The body is an overview that points to a real, one-level-deep reference file ('Consult references/series-catalog.md'), which exists in the bundle and holds the detailed mappings.

3 / 3

Total

12

/

12

Passed

Description

100%

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 concise, specific, and complete: it states the concrete capabilities, the MCP integration, and an explicit 'Use when' trigger with natural-language keywords. The trailing provenance note ('Copied from...') is harmless metadata rather than a capability claim.

DimensionReasoningScore

Specificity

Names a specific domain ('U.S. Bureau of Labor Statistics data via the BLS MCP server') and concrete actions ('Queries... data', 'Maps natural language to correct series IDs and tools'), matching the multi-action anchor.

3 / 3

Completeness

Clearly answers both 'what' (queries BLS data, maps NL to series IDs/tools) and 'when' via an explicit 'Use when user asks about...' clause, so it is not merely implied.

3 / 3

Trigger Term Quality

Lists a broad set of natural terms users would actually say — 'CPI, inflation, unemployment, employment, wages, jobs, labor statistics, producer prices' — with strong coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

The BLS/economic-indicator niche is narrow with distinct trigger terms, making it unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
dathere/qsv
Reviewed

Table of Contents

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