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parallel-web

Use Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.

78

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

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.

A well-architected skill body: concise routing via table and decision guide, executable commands with concrete flags, explicit validation/polling checkpoints, and clean one-level progressive disclosure into real reference files. It assumes Claude's competence and adds only skill-specific guidance.

DimensionReasoningScore

Conciseness

Lean and table-driven with no explaining of concepts Claude already knows; every section (routing table, decision guide, setup, polling limits) earns its tokens. The single pinned version '0.7.1' is a justified executable pin rather than pervasive time-sensitive clutter.

3 / 3

Actionability

Provides fully executable, copy-paste-ready commands throughout — 'parallel-cli --version', 'uv tool install "parallel-web-tools[cli]==0.7.1"', 'parallel-cli login --device', and concrete status/poll commands with specific timeouts.

3 / 3

Workflow Clarity

Sequences multi-step flows with explicit checkpoints: setup (version check → install → auth → 'parallel-cli auth' verify), ID-prefix validation before status/poll/cancel, and a bounded polling loop ('Poll at most three times with --timeout 540 ... stop, report the current status and ID').

3 / 3

Progressive Disclosure

SKILL.md is a clear overview routing each capability to a one-level-deep, real reference file (e.g. references/web-search.md, references/deep-research.md), with capability detail appropriately split out and easy to navigate.

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.

A strong, third-person description that pairs a concrete capability list with an explicit 'when to use' trigger clause and natural user-facing keywords. It is distinguishable from generic web/search skills and avoids fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring' — rather than vague language, matching the top anchor.

3 / 3

Completeness

Answers both 'what' (the six capabilities) and 'when' via the explicit trigger clause 'Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.'

3 / 3

Trigger Term Quality

Covers natural terms a user would say ('web search', 'current web evidence', 'deep research', 'repeated entity lookups', 'exhaustive reports', 'ongoing change tracking') with good breadth of phrasings.

3 / 3

Distinctiveness Conflict Risk

Scoped to 'Parallel CLI' web-intelligence workflows with distinct, capability-specific triggers, making it unlikely to fire for the wrong skill.

3 / 3

Total

12

/

12

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.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_field

'metadata' should map string keys to string values

Warning

relative_links

Relative link issues: 1 missing

Warning

Total

14

/

16

Passed

Repository
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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