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hugging-face-tool-builder

Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool.

44

Quality

46%

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/hugging-face-tool-builder/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

57%Scale 1-5

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

This is a functional skill that provides good concrete guidance for building HF API scripts, with useful reference examples and composability patterns. Its main weaknesses are moderate verbosity (explaining things Claude could infer), an implicit rather than explicit workflow, and content that could benefit from better organization between the main file and references. The actionability is strong with real curl commands and piping examples.

Suggestions

Add an explicit numbered workflow for script creation (e.g., 1. Investigate API shape with constrained queries → 2. Draft script with --help → 3. Test with sample data → 4. Verify output format → 5. Share usage examples), including validation checkpoints.

Move the full `hf --help` output to a reference file and keep only a brief mention that the `hf` CLI is available with key subcommands (download, repo, upload).

Remove the restated purpose from the body since it duplicates the description, and trim explanatory phrases like 'The following are the main API endpoints available' to just a header.

DimensionReasoningScore

Conciseness

The skill is mostly efficient but includes some unnecessary verbosity, such as restating the purpose in the body after the description, and the 'hf --help' output which Claude could discover itself. The script rules and API endpoint sections are reasonably tight, but the overall document could be trimmed.

3 / 5

Actionability

Provides concrete executable examples including curl commands with jq, piping chains, and references to sample scripts in multiple languages. The API endpoint list and OpenAPI querying instructions are specific and actionable. Minor gap: the referenced scripts aren't provided in the bundle, so the actual executable patterns rely on external files.

4 / 5

Workflow Clarity

The script rules provide a reasonable workflow (investigate API shape → design → test → share examples), and the rule about non-destructive scripts being tested before handover is a validation checkpoint. However, the workflow is implicit rather than explicitly sequenced, and there's no clear feedback loop for error handling or validation of script outputs.

3 / 5

Progressive Disclosure

The skill references multiple sample scripts in a references/ directory with clear descriptions of what each demonstrates, which is good progressive disclosure design. However, no bundle files were provided to verify these references exist, and the main SKILL.md itself is somewhat long (~100 lines) with content like the full hf --help output that could be in a reference file. The structure is reasonable but not optimally organized.

3 / 5

Total

13

/

20

Passed

Description

36%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 identifies the domain (Hugging Face API and CLI tooling) but remains vague about what specific tasks or scripts it creates. It lacks a 'Use when...' clause, making it difficult for Claude to know when to select this skill. The use of second person ('You can access') violates voice guidelines, and the overall framing is too generic to reliably distinguish it from other scripting or API-related skills.

Suggestions

Add an explicit 'Use when...' clause with trigger terms like 'Hugging Face', 'HF Hub', 'download model', 'upload dataset', 'huggingface-cli', or 'transformers'.

List specific concrete actions the skill performs, such as 'download models, upload datasets, query inference endpoints, manage repositories on Hugging Face Hub'.

Rewrite in third person voice (e.g., 'Creates reusable CLI scripts for the Hugging Face API...') instead of second person ('You can access').

DimensionReasoningScore

Specificity

Names the domain (Hugging Face API, command line scripts) but the actions are generic — 'create reusable command line scripts and utilities' is vague. Mentions chaining, piping, and intermediate processing but doesn't specify what kinds of scripts or what tasks they accomplish.

2 / 5

Completeness

Has a vague 'what' (create CLI scripts for Hugging Face API) but no explicit 'when' clause. There is no 'Use when...' guidance, which per the rubric should cap completeness at 3, and the 'what' itself is not very clear, placing this at a 2.

2 / 5

Trigger Term Quality

Includes some relevant keywords like 'Hugging Face API', 'hf command line tool', 'command line scripts', 'piping', and 'chaining'. However, it misses natural user phrases like 'download model', 'upload dataset', 'huggingface', 'HF Hub', 'transformers', or specific file extensions and task types.

3 / 5

Distinctiveness Conflict Risk

The Hugging Face API focus provides some distinctiveness, but 'create reusable command line scripts and utilities' is broad enough to overlap with general scripting or CLI tool-building skills. The mention of 'hf command line tool' adds some specificity but not enough to clearly carve out a niche.

3 / 5

Total

10

/

20

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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