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deep-research

Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.

70

Quality

87%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%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.

A well-built instructional skill: parameterized tool invocations, a concrete report skeleton, prompt-injection defenses, and a clear six-step workflow. It is held out of the top band by redundant trigger sections, a non-literal subagent snippet, the absence of explicit validation checkpoints, and a report template that could be split into a reference file.

Suggestions

Cut or shrink the 'When to Activate' and 'Examples' sections — both restate trigger phrasing already present in the frontmatter description, saving tokens without losing information (conciseness).

Add an explicit validation checkpoint in the workflow, e.g. 'Before writing, verify every cited URL was actually fetched and flag any sub-question with fewer than 2 independent sources' with a fix/retry loop (workflow_clarity).

Replace the prose subagent snippet with a literal Task-tool invocation example (prompt text, tool name, expected return format) so the parallel pattern is copy-paste executable (actionability).

DimensionReasoningScore

Conciseness

The body is instruction-focused with no explanations of concepts Claude already knows, but minor trimming is possible: the 'When to Activate' section largely restates the frontmatter description, and the 'Examples' section repeats trigger phrasings already given. Fits 'Efficient; minor instances of over-explanation that could be trimmed' rather than the lean level-5 anchor.

4 / 5

Actionability

Concrete, parameterized tool calls ('firecrawl_search(query: ..., limit: 8)', 'web_search_advanced_exa(... startPublishedDate: "2025-01-01")') and a full report template make the guidance mostly executable. It falls short of level 5 only because the subagent fan-out snippet ('Launch 3 research agents in parallel: ...') is a directive sketch rather than literal invocations, and the flagged drift-prone tool names mean some calls may not resolve as written.

4 / 5

Workflow Clarity

A clearly sequenced 6-step workflow with an explicit fallback ('If the user says "just research it" — skip ahead') and Quality Rules acting as implicit checks. No explicit validate-then-fix checkpoint exists (e.g., confirming citations resolve or target source count was met before writing), which keeps it at the level-4 'minor validation gaps' anchor rather than level 5.

4 / 5

Progressive Disclosure

No bundle files exist, and the single-file body is organized into well-labeled, navigable sections with nothing buried. It sits at 'Good structure; most content is appropriately placed; minor organization gaps': the ~30-line report template and the MCP configuration notes could plausibly live in one-level-deep reference files, though inlining them is defensible for a skill this size.

4 / 5

Total

16

/

20

Passed

Description

100%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.

An exemplary description: concrete capability list, third-person voice, explicit 'Use when' triggers with natural synonyms, and a clearly distinct niche. It closely matches the pattern of the rubric's good overall examples with no padding or over-claims.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — 'plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels' — which comprehensively covers the skill's capability surface in third-person voice. This matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage' and exceeds the level-4 anchor, which only expects minor gaps.

5 / 5

Completeness

Both halves are explicit: a clear 'what' ('Produce cited research reports from multiple web sources... with inline citations and confidence levels') and an explicit 'Use when the user asks to research a topic in depth...' clause with concrete trigger phrases. This mirrors the level-5 good-overall example; it is well above the level-4 anchor where 'when' could be more specific.

5 / 5

Trigger Term Quality

Natural user phrasings are well covered: 'research a topic in depth', 'deep dive', 'investigation', plus domain scenarios (competitive analysis, market sizing, due diligence). Coverage includes synonyms and colloquial variations users would actually say, matching the level-5 anchor rather than the level-4 'a few natural terms missing'.

5 / 5

Distinctiveness Conflict Risk

The niche is distinct — multi-source cited synthesis via firecrawl/exa MCP tools — and triggers ('in depth', 'deep dive', 'due diligence') are unlikely to fire for a quick single-source lookup or a document-editing skill. Matches the level-5 'clear niche with distinct triggers; minimal conflict risk' anchor.

5 / 5

Total

20

/

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

relative_links

Relative link issues: 3 missing

Warning

Total

14

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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