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scientific-critical-thinking

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

63

Quality

76%

Does it follow best practices?

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SecuritybySnyk

Passed

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Fix and improve this skill with Tessl

tessl review fix ./bundled/skills/scientific-critical-thinking/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

60%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.

Well-structured procedural guidance with strong, actionable checklists and clean one-level-deep references, but it is padded — re-listing concepts Claude already knows and including an unrelated schematics-promotion section — which hurts token efficiency.

Suggestions

Remove or relocate the 'Visual Enhancement with Scientific Schematics' section; it promotes a different skill and 'Nano Banana Pro' and is unrelated to scientific critical thinking.

Trim the inlined bias/fallacy/statistical taxonomies that duplicate references/common_biases.md, references/logical_fallacies.md, and references/statistical_pitfalls.md, keeping only the procedural checklists in SKILL.md.

Collapse the repeated 'Apply when:' bullet blocks into a single shared usage note to reduce redundancy across the seven capability sections.

DimensionReasoningScore

Conciseness

At ~560 lines the body is noticeably verbose: it re-lists well-known taxonomies (confirmation bias, p-hacking, ad hominem, straw man) that also live in the reference files, repeats an 'Apply when:' bullet block for every section, and includes an off-topic 'Visual Enhancement with Scientific Schematics' section promoting another skill (and 'Nano Banana Pro').

2 / 5

Actionability

Checklists are concrete and specific ('Was a priori power analysis conducted?', 'Was randomization properly implemented (sequence generation, allocation concealment)?'), and the critique/claim-evaluation sections give ordered, actionable procedures; missing worked examples that apply a framework end-to-end keep it just below fully executable.

4 / 5

Workflow Clarity

Multi-step processes are clearly sequenced (4-step methodology critique, 6-step claim evaluation, 5-part critique structure) with a 'When Uncertain' conditional-reasoning section; this is an analysis rather than destructive/batch skill so the validation cap does not apply, though no explicit verify-your-assessment checkpoint is present.

4 / 5

Progressive Disclosure

Good one-level-deep structure: each capability ends with 'Reference: See references/xxx.md' and a Reference Materials section lists all six real files with descriptions and a grep navigation hint; minor gap is that several taxonomies inlined in the body overlap content already housed in those references.

4 / 5

Total

14

/

20

Passed

Description

92%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.

A strong, third-person description that clearly states capabilities, trigger conditions, and a boundary with the peer-review skill. Minor room to add everyday synonyms, but it is otherwise comprehensive and well-targeted.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Evaluate scientific claims and evidence quality', 'assessing experimental design validity', 'identifying biases and confounders', 'applying evidence grading frameworks (GRADE, Cochrane Risk of Bias)', 'teaching critical analysis' — giving comprehensive coverage of the domain.

5 / 5

Completeness

Explicitly answers both what ('Evaluate scientific claims and evidence quality' + enumerated actions) and when ('Use for assessing... or teaching critical analysis. Best for understanding evidence quality, identifying flaws') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural keywords a user would say ('scientific claims', 'evidence quality', 'biases', 'confounders', 'GRADE', 'Cochrane Risk of Bias') plus the plain-language hook 'understanding evidence quality, identifying flaws'; a few everyday synonyms are missing, keeping it just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (scientific critical thinking) with distinct triggers, and the boundary clause 'For formal peer review writing use peer-review' actively disambiguates from a neighboring skill, minimizing conflict risk.

5 / 5

Total

19

/

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.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (570 lines); consider splitting into references/ and linking

Warning

metadata_version

'metadata.version' is missing

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

13

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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