gif-search

Search/download GIFs from Tenor via curl + jq.

Quality

75%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/media/gif-search/SKILL.md

Quality

Content

92%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 tight, command-first reference: every task has executable curl + jq examples, parameters and media formats are documented in compact tables, and structure is clean. The only trimmable fat is the redundant Prerequisites section and a few filler phrases.

Dimension	Reasoning	Score
Conciseness	The body is lean and command-first with minimal conceptual explanation, but has small redundancies: a Prerequisites section duplicating the frontmatter's env_vars/commands, "No extra tools needed", and "(both standard on macOS/Linux)" padding. This fits 'efficient; minor instances of over-explanation that could be trimmed' rather than the every-token-earns-its-place anchor at 5.	4 / 5
Actionability	Every workflow ships copy-paste-ready curl + jq commands: search with URL extraction (`.results[].media_formats.gif.url`), search-then-download with `curl -sL "$URL" -o celebration.gif`, and a metadata query, plus concrete parameter and media-format tables. This matches 'fully executable; copy-paste ready code or commands; specific examples cover the common cases'.	5 / 5
Workflow Clarity	This is a simple, single-purpose skill with no multi-step fragile process, and each action (search, download, metadata) is unambiguous with an executable command — the simple-skill exception applies. No validation checkpoints are expected since there are no destructive or batch operations, so the cap at 3 does not apply.	5 / 5
Progressive Disclosure	The bundle contains no reference files and the skill needs none: the body is short (~75 lines), cleanly sectioned (Setup, Search, Download, Metadata, Parameters, Formats, Notes), and no bulk reference material is inlined. Per the guideline for simple skills with no need for external references, well-organized sections alone merit a 5.	5 / 5
	Total	19 / 20 Passed

Description

57%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.

The description is concise and concrete but incomplete: it states clearly what the skill does yet gives no guidance on when to use it, and its trigger vocabulary misses natural user phrasings like 'reaction GIF'. Distinctiveness is excellent thanks to the Tenor-specific niche.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks for a GIF, reaction image, or wants to search or send an animated GIF in chat.'

Broaden trigger vocabulary to include synonyms users naturally say: 'reaction GIF', 'animated image', 'find a gif'.

Mention 1-2 more concrete capabilities from the body (e.g., retrieve full metadata, pick media formats like tinygif/mp4) to raise specificity from 2 actions to several.

Dimension	Reasoning	Score
Specificity	"Search/download GIFs from Tenor via curl + jq" names the domain (Tenor GIFs) and exactly two concrete actions (search, download) with tooling, matching the anchor for 1-2 concrete actions but not comprehensive. It is not a 4 because capabilities covered in the body (metadata retrieval, format selection, chat embedding) are absent from the description.	3 / 5
Completeness	The 'what' is clear (search and download GIFs from Tenor via curl + jq), but there is no 'Use when...' clause or equivalent trigger guidance, which the judging guidelines cap at 3. It is not a 2 because the 'what' half is specific and concrete, and not a 4 because 'when' is entirely absent rather than merely implicit.	3 / 5
Trigger Term Quality	The terms "GIFs", "Tenor", "Search", and "download" are relevant, but common variations users actually say — "reaction GIF", "animated image", "find a gif" — are missing. This fits the 'some relevant keywords but missing common variations or synonyms' anchor rather than the good-coverage anchor at 4.	3 / 5
Distinctiveness Conflict Risk	"from Tenor" pins a clear niche (Tenor API GIF search via curl/jq) with distinct triggers and minimal overlap with other skills. It clearly matches the 'clear niche with distinct triggers' anchor; the score-4 anchor's 'minor overlap risk with closely related skills' (e.g., PDF + Word ambiguity) does not apply.	5 / 5
	Total	14 / 20 Passed

Validation

75%

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 — 12 / 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
relative_links	Relative link issues: 1 missing	Warning

	Total	12 / 16 Passed

Repository: NousResearch/hermes-agent
Path: skills/media/gif-search/SKILL.md
Commit: 68fa7e9

Reviewed: 3 days ago

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