hugging-face-paper-publisher

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

Quality

66%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./backend/cli/skills/writing/hugging-face-paper-publisher/SKILL.md

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with concrete commands and clear workflows, but it is verbose due to heavy section duplication and fails to leverage its own reference bundle — the existing quick_reference.md is never linked and large reference-style content stays inline.

Suggestions

De-duplicate the body: remove the 'Commands Reference' and 'Common Patterns' sections that restate the per-method usage and Integration Examples, consolidating the canonical command forms in one place.

Link the existing references/quick_reference.md from the body (e.g., a 'Quick reference' pointer near the top) and move the YAML metadata examples and troubleshooting into separate reference files to shorten SKILL.md into a true overview.

Add explicit validation checkpoints to the batch linking, PR-creation, and authorship-claim workflows (e.g., run `check`/`validate` after `link`, then fix and retry on failure) so destructive and batch operations have feedback loops.

Dimension	Reasoning	Score
Conciseness	Mostly concrete and command-driven, but padded with significant redundancy — the 'Commands Reference' section restates the per-method usage, 'Common Patterns' restates 'Integration Examples', and sections like 'Best Practices', 'Future Enhancements', and template feature lists add length without new actionable value.	2 / 3
Actionability	Provides fully executable, copy-paste-ready bash commands with specific flags and realistic arguments for every operation, plus a runnable Python API example.	3 / 3
Workflow Clarity	Multi-step workflows are numbered and sequenced, but batch and destructive operations (batch linking, PR creation, authorship claims) lack explicit validate→fix→retry checkpoints, capping workflow clarity at 2.	2 / 3
Progressive Disclosure	The body is a ~600-line monolith with command reference, YAML examples, and troubleshooting that could live in separate files, and the provided references/quick_reference.md is never linked or signaled from SKILL.md despite existing in the bundle.	2 / 3
	Total	9 / 12 Passed

Description

67%

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 specific and distinctive, clearly communicating a well-scoped HF paper-publishing capability. Its main weakness is the absence of an explicit 'Use when…' trigger clause, which caps completeness and limits trigger-term quality.

Suggestions

Add a 'Use when…' clause naming the natural trigger situations (e.g., 'Use when publishing or indexing research papers on the Hugging Face Hub, linking papers to model/dataset cards, or claiming paper authorship.').

Expand trigger-term coverage with common variations users would say, such as 'HF Hub', 'model cards', 'dataset cards', and 'arXiv papers'.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles' — matching the top anchor.	3 / 3
Completeness	Clearly answers 'what' the skill does, but lacks any 'Use when…' clause or equivalent explicit trigger guidance for when Claude should invoke it, capping completeness at 2.	2 / 3
Trigger Term Quality	Contains relevant natural terms like 'research papers' and 'Hugging Face Hub', but coverage of common variations a user would say is limited and no explicit trigger phrasing is present.	2 / 3
Distinctiveness Conflict Risk	The Hugging Face paper-publishing niche is clearly distinct with domain-specific triggers, making conflict with other skills unlikely.	3 / 3
	Total	10 / 12 Passed

Validation

87%

Warnings & errors only

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

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (629 lines); consider splitting into references/ and linking	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: synthetic-sciences/openscience
Path: backend/cli/skills/writing/hugging-face-paper-publisher/SKILL.md
Commit: dc00e07

Reviewed: 6 days ago

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