video-frames

Extract frames or short clips from videos using ffmpeg.

1.31x

Quality

—

Does it follow best practices?

Impact

100%

1.31x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Quality

Content

100%

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

The body is a model of brevity and actionability: executable commands, a real backing script, and tidy sections with no padding.

Dimension	Reasoning	Score
Conciseness	The body is lean with no explanation of concepts Claude already knows; every line is either an executable example or a directly useful note.	3 / 3
Actionability	It gives fully executable, copy-paste-ready `frame.sh` invocations with concrete arguments (--time, --out) backed by a real bundled script.	3 / 3
Workflow Clarity	This is a simple single-task skill under 50 lines where the action is unambiguous, so workflow clarity scores 3 without needing a multi-step sequence.	3 / 3
Progressive Disclosure	Well-organized Quick start and Notes sections with a single one-level-deep reference (scripts/frame.sh) that exists in the bundle.	3 / 3
	Total	12 / 12 Passed

Description

82%

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, specific, and distinguishable, but it omits an explicit "Use when…" trigger clause, leaving the "when to use" half of completeness only implied.

Dimension	Reasoning	Score
Specificity	"Extract frames or short clips from videos using ffmpeg" lists multiple concrete actions (frame extraction and clip extraction) and names the tool, matching the multiple-specific-actions anchor.	3 / 3
Completeness	It clearly states what the skill does but provides no "Use when…" clause or equivalent explicit trigger guidance, which caps completeness at 2 per the rubric guidelines.	2 / 3
Trigger Term Quality	"frames", "short clips", "videos", and "ffmpeg" are natural terms a user would say when requesting this skill, giving good coverage.	3 / 3
Distinctiveness Conflict Risk	Video frame/clip extraction via ffmpeg is a clear niche with distinct triggers and is unlikely to conflict with other skills.	3 / 3
	Total	11 / 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: trpc-group/trpc-agent-go
Commit: dfab3c6

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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.