ascii-art

ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.

Quality

75%

Does it follow best practices?

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Securityby

Medium

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Fix and improve this skill with Tessl

tessl review fix ./skills/creative/ascii-art/SKILL.md

Quality

Content

92%

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, concise, and well-sequenced with a clear decision flow, making it a strong executable reference. Its only weakness is monolithic structure: a large single-file catalog with no progressive disclosure into separate reference files.

Dimension	Reasoning	Score
Conciseness	The body is lean throughout: short setup/usage code blocks, tables, and tight tips with no padding or explanations of concepts Claude already knows, so every token earns its place as the score-3 anchor requires.	3 / 3
Actionability	Every tool section provides fully executable, copy-paste-ready commands (pip install, curl endpoints, cowsay/boxes/toilet flags) plus a complete Python extraction snippet, matching the score-3 anchor of specific, executable guidance.	3 / 3
Workflow Clarity	The closing "Decision Flow" clearly sequences which tool fits which need, and the multi-step ascii.co.uk workflow (fetch with curl, then extract via Python) is laid out as explicit numbered steps; no destructive/batch operation triggers the cap-at-2 rule.	3 / 3
Progressive Disclosure	The skill is well-organized by headed sections but is a ~300-line monolithic catalog with no bundle files and no one-level-deep external references, so content that could live in per-tool reference files is inlined rather than split out.	2 / 3
	Total	11 / 12 Passed

Description

57%

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 concise and distinct, correctly signaling the ASCII-art niche, but it omits any explicit "when to use" trigger guidance and leans on tool names rather than natural user language, leaving completeness and trigger-term quality at the middle level.

Suggestions

Add an explicit "Use when..." trigger clause, e.g. "Use when the user wants ASCII art, text banners, or decorative terminal output."

Broaden trigger terms with natural phrasing a user would say ("text banners", "text art", "ASCII banner") rather than relying solely on tool names.

Reframe the tool list as concrete actions (e.g., "render text banners, wrap messages in character art, frame text with decorative borders, convert images to ASCII") to strengthen specificity.

Dimension	Reasoning	Score
Specificity	The description "ASCII art: pyfiglet, cowsay, boxes, image-to-ascii" names the domain and several concrete tools, but it lists tool names rather than enumerating multiple specific actions (e.g., render, wrap, frame, convert), so it falls short of the score-3 anchor's multi-action list.	2 / 3
Completeness	It conveys what the skill does (ASCII art via four tools) but provides no "Use when..." clause or explicit trigger guidance, which per the rubric caps completeness at 2.	2 / 3
Trigger Term Quality	"ASCII art" is a strong natural keyword, but the remaining terms are tool names (pyfiglet, cowsay, boxes) that read as technical jargon rather than language a user would naturally say, and common variations like "text banners" or "text art" are absent.	2 / 3
Distinctiveness Conflict Risk	"ASCII art" is a clear, narrow niche and the named tools make it unlikely to trigger for the wrong skill, matching the score-3 anchor of a distinct niche with clear triggers.	3 / 3
	Total	9 / 12 Passed

Validation

81%

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 — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
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: NousResearch/hermes-agent
Path: skills/creative/ascii-art/SKILL.md
Commit: 5be99b6

Reviewed: about 15 hours ago

Table of Contents

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