CtrlK
BlogDocsLog inGet started
Tessl Logo

sci-paper-reviewer

Simulates a strict SCI peer-review workflow; trigger when a user uploads or pastes a manuscript (PDF/DOC/DOCX/TXT) and requests an innovation score (1–12) plus experimental-logic vulnerability checks and revision suggestions.

67

Quality

84%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

71%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-sequenced, highly actionable instruction skill with a verified parser command, concrete scoring rubric, and explicit output structure. Its weaknesses are duplication (Key Features vs Implementation Details, Dependencies vs the orphaned references file) and an unreferenced bundle file whose content is inlined in vaguer form.

Suggestions

Delete the "Key Features" section — it restates "Implementation Details" point-for-point and saves ~15 lines of duplicated context.

Replace the inline "Dependencies" list ("(version varies)") with a pointer: "Dependencies: see [references/document_parser_requirements.md](references/document_parser_requirements.md) for exact versions and install commands" — this also fixes the orphaned reference file.

Add a validation checkpoint after parsing, e.g., check extracted_content.txt is non-trivially populated before running the review, and require the innovation score to be stated explicitly in the report.

DimensionReasoningScore

Conciseness

The "Key Features" section (~15 lines) restates "Implementation Details" almost point-for-point (innovation rubric, vulnerability screening, research-type classification appear twice), and the Dependencies list of five libraries "(version varies)" is vague filler that duplicates references/document_parser_requirements.md. Mostly efficient but includes padded/duplicated sections that could be tightened — matches the 3 anchor rather than 4, where only minor trimming would be needed.

3 / 5

Actionability

Guidance is copy-paste executable: `python scripts/enhanced_document_parser.py /path/to/manuscript.pdf extracted_content.txt` matches the script's actual CLI (verified: a non-json/text/sections second arg is treated as an output file), two complete example prompts are given, and the innovation rubric (scored bands 1–12), vulnerability checklist, and required output structure (numbered 2.1, 2.2 items) cover the common cases. Not below 5 since no missing key detail blocks execution.

5 / 5

Workflow Clarity

The six numbered "Implementation Details" subsections give a clear sequence (input detection → parsing → section extraction → classification → innovation evaluation → vulnerability screening → structured report) with two error-recovery branches ("Warning: No text extracted" → scanned/OCR path; missing headings → infer sections). Not 5 because there is no validation checkpoint on the extracted text itself (e.g., sanity-checking extraction quality before scoring) and the output spec allows the score to be merely "implied", leaving a small ambiguity.

4 / 5

Progressive Disclosure

Structure and the script reference are clear ("Use: `scripts/enhanced_document_parser.py`"), but the bundle's references/document_parser_requirements.md is never referenced anywhere in the body while its contents (dependency versions, install commands) are duplicated inline in the weaker "Dependencies" section with "(version varies)" placeholders. A real reference file exists but is not signaled, and content that belongs in it is inline — matches the 3 anchor; not 4 because this is more than a minor organization gap.

3 / 5

Total

15

/

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 description in third-person voice with explicit what-and-when trigger guidance, concrete capability enumeration, and file extensions. Only minor gap is a few missing natural synonyms ("paper", "novelty").

DimensionReasoningScore

Specificity

The description lists multiple concrete actions with parameters: "innovation score (1–12)", "experimental-logic vulnerability checks", "revision suggestions", and enumerates supported formats "(PDF/DOC/DOCX/TXT)". Not below 5 because coverage of the skill's actions is comprehensive with no significant gaps; not scored lower since no anchor's gap applies.

5 / 5

Completeness

Explicitly answers both parts: what it does ("Simulates a strict SCI peer-review workflow... innovation score (1–12) plus experimental-logic vulnerability checks and revision suggestions") and when to trigger ("trigger when a user uploads or pastes a manuscript (PDF/DOC/DOCX/TXT) and requests..."). Matches the score-5 anchor with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural keyword coverage: "manuscript", "peer-review", "innovation score", "revision suggestions", plus file extensions "PDF/DOC/DOCX/TXT". Not 5 because common synonyms users would say are missing (e.g., "paper", "novelty", "review my paper"); clearly above 3 since the phrasing "uploads or pastes a manuscript" mirrors real user behavior.

4 / 5

Distinctiveness Conflict Risk

Clear niche: SCI peer review of research manuscripts with a 1–12 innovation rubric, unlikely to fire for generic document or writing tasks. Not 4 because the combination of "SCI peer-review", "manuscript", and "innovation score (1–12)" is a distinct trigger signature with minimal overlap with adjacent skills.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.