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research-tasks

Process for answering research questions using the web and saving findings into the workspace.

57

Quality

68%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./templates/template-claw-assistant/workspace/skills/research-tasks/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

86%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 a concise, well-structured instruction workflow with concrete tool names and a clear output format; its main weakness is slightly thin execution detail rather than any structural problem.

Suggestions

Make the notes file actionable: specify a naming convention and path, e.g. `notes/<topic>-research.md`, so the capture step is copy-paste ready.

Add an explicit verify/retry checkpoint for source claims, e.g. re-check that every source URL was actually fetched before writing the final answer.

Optionally include a one-line example of the expected `notes/` markdown structure to fully cover the common case.

DimensionReasoningScore

Conciseness

Four lean numbered steps with no padding and no explanation of concepts Claude already knows; every token earns its place, matching the lean-and-efficient anchor.

5 / 5

Actionability

Names concrete tools (`web_search`, browser tools), a concrete location (`notes/`), and a concrete output format, but lacks precise execution details like the notes filename or exact invocation, leaving minor gaps.

4 / 5

Workflow Clarity

A clear ordered sequence (search, capture, verify, format) with a built-in quality gate in step 3 ('Never invent sources... drop it'), though it lacks an explicit re-validation feedback loop.

4 / 5

Progressive Disclosure

A short single-file skill (under 50 lines, no external references needed) that is well organized with a clear heading and numbered list, satisfying the simple-skill exception for a top score.

5 / 5

Total

18

/

20

Passed

Description

50%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 clear and in proper third-person voice but is generic: it answers 'what' without any 'when to use it' trigger guidance and offers only modest distinctiveness from related research/web skills.

Suggestions

Add an explicit 'Use when...' clause naming natural triggers, e.g. 'Use when the user asks to research a topic, look something up online, or investigate a question and save the findings.'

List a few more concrete actions or natural synonyms ('research', 'look up', 'search the web') to broaden trigger-term coverage.

Sharpen the niche — emphasize the workspace-notes output format — to reduce overlap with general web-search or deep-research skills.

DimensionReasoningScore

Specificity

Names the domain (research questions via the web) and two concrete actions (answering questions, saving findings into the workspace), matching the anchor for 1-2 concrete actions without comprehensive coverage.

3 / 5

Completeness

It states clearly what the skill does but provides no 'Use when...' clause or equivalent trigger guidance, so per the rubric guideline a missing when caps completeness at 3.

3 / 5

Trigger Term Quality

'research questions' and 'web' are relevant natural keywords, but common variations like 'look this up', 'search the web', or 'research this topic' are missing, so it sits at the some-keywords anchor rather than good coverage.

3 / 5

Distinctiveness Conflict Risk

It is somewhat specific (web research with workspace notes) but overlaps with general web search and similar research skills, so it could still trigger for the wrong skill.

3 / 5

Total

12

/

20

Passed

Validation

81%

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

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

13

/

16

Passed

Repository
mastra-ai/mastra
Reviewed

Table of Contents

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