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seek-and-analyze-video

Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence

Quality

59%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/seek-and-analyze-video/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

46%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.

The body is a reasonable marketing-style overview with good command-name coverage and honest limitations, but it fails structurally: it promises a routing table and on-demand reference guides that are not in the bundle, and its examples are pseudocode with no invocation syntax. An agent loading this skill could detect intent but could not execute any of the 21 commands.

Suggestions

Ship the referenced bundle files (video_qa.md, social_research.md, etc.) or remove the claims about them and inline the essential command syntax for the 6 named commands.

Include the actual intent-to-workflow routing table in SKILL.md instead of only describing it.

Merge the duplicated 'When to Use' sections (lines 13-14 and 26-33) and drop the 'Description' section that restates the frontmatter, replacing the freed tokens with concrete executable examples.

DimensionReasoningScore

Conciseness

Individual sections are lean and quantified ("processing takes 1-5 minutes", "free tier limited to 100 credits"), but there is real duplication: two separate 'When to Use' sections (lines 13-14 and 26-33) and a 'Description' section that restates the frontmatter. This fits 'Mostly efficient but includes some unnecessary explanation or could be tightened'; it is not 2 because no section explains concepts Claude already knows.

3 / 5

Actionability

Concrete command names appear (chat_video, caption_video, search_public, search_audio, memory_add, wait) but no syntax, invocation method, or parameters are shown — the examples are literal pseudocode ("Agent: uploads video -> waits for processing -> uses chat_video"). This matches 'Some concrete guidance but incomplete; pseudocode instead of executable code', not 4's 'concrete code or commands with minor gaps'.

3 / 5

Workflow Clarity

The three-step sequence (intent detection -> reference loading -> workflow execution) and the upload -> wait -> analyze -> present flow are present, with the wait-before-query checkpoint explicitly called out in Best Practices. However, Step 1 tells the agent to read 'the SKILL.md workflow router' and Step 2 points to reference files (video_qa.md, social_research.md) that do not exist in the bundle, leaving the workflow broken at two of its three steps — 'sequence present but checkpoints missing or implicit', not 4.

3 / 5

Progressive Disclosure

The body claims a routing table in SKILL.md and references workflow files (video_qa.md, social_research.md), but no references/ directory or routing table exists in the bundle — navigation to the detailed material is impossible. This is 'references buried/broken' territory (anchor 2), not 3 ('references present but not clearly signaled') because the signaling is fine but the targets are absent.

2 / 5

Total

11

/

20

Passed

Description

53%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 establishes a distinct niche (Memories.ai video intelligence) but reads like marketing copy: two generic actions, a buzzword tag ("persistent video intelligence"), and no 'use when' trigger guidance. Users searching for help with YouTube/TikTok videos, meeting recordings, or transcripts would not naturally surface this skill.

Suggestions

Add an explicit 'Use when...' clause with concrete triggers, e.g. 'Use when the user shares a video URL, wants to summarize a meeting recording or lecture, or asks to search TikTok/YouTube/Instagram content'.

Replace "persistent video intelligence" with concrete capabilities users would recognize: 'imports and indexes videos, then answers questions, generates transcripts/captions, and searches across stored videos'.

Use natural user vocabulary ("search video", "summarize video", "YouTube", "TikTok", "transcript") instead of the unusual verb "seek".

DimensionReasoningScore

Specificity

Names the domain ("video content") and two actions ("Seek and analyze"), matching the anchor 'Names domain and 1-2 concrete actions, but not comprehensive'. The phrase "persistent video intelligence" is buzzword-laden and adds no concrete capability, so it cannot score 4 ('several specific actions; minor gaps').

3 / 5

Completeness

A clear-ish 'what' is present ("Seek and analyze video content using Memories.ai Large Visual Memory Model") but there is no 'Use when...' clause or any 'when' guidance, capping completeness at 3 per the judging guidelines. It is not a 4 because 'when' is entirely missing rather than just under-specified.

3 / 5

Trigger Term Quality

"video content" is a relevant keyword, but "seek" is not a natural user term (users say "search"), and common variations users would actually say — YouTube, TikTok, Instagram, summarize, transcript — are absent. This fits 'Some relevant keywords but missing common variations or synonyms', not 4's 'good keyword coverage'.

3 / 5

Distinctiveness Conflict Risk

Pinning the capability to a specific platform ("Memories.ai Large Visual Memory Model") gives it a clear niche with minor overlap risk against generic video-analysis skills. It is not a 5 because the trigger terms ("seek and analyze video content") are generic enough that other video analysis skills could compete for the same requests.

4 / 5

Total

13

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

skills/seek-and-analyze-video/SKILL.md

Reviewed

Table of Contents

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