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camsnap

Capture frames or clips from RTSP/ONVIF cameras.

74

4.00x
Quality

63%

Does it follow best practices?

Impact

100%

4.00x

Average score across 3 eval scenarios

SecuritybySnyk

Risky

Do not use without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/camsnap/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

This is a well-crafted, concise skill that provides clear, actionable CLI commands for camera capture operations. Its main weakness is the lack of explicit workflow sequencing and validation steps—particularly for operations like motion watching or longer clips where verification would be valuable. Overall it's effective for its scope.

Suggestions

Add a brief workflow sequence for common multi-step operations (e.g., discover -> add -> test snap -> clip) with an explicit validation step after test capture.

Consider adding a verification step after clip capture, such as checking file size or using ffprobe to confirm the output is valid.

DimensionReasoningScore

Conciseness

Very lean and efficient. No unnecessary explanations of what RTSP or ONVIF are, no padding. Every line provides actionable information Claude wouldn't already know.

3 / 3

Actionability

Provides concrete, copy-paste ready commands for every operation: discovery, snapshots, clips, motion watching, and diagnostics. Includes specific flags and example arguments.

3 / 3

Workflow Clarity

Commands are listed but there's no explicit sequencing or validation checkpoints. The note about preferring a short test capture hints at validation but doesn't formalize it into a workflow (e.g., test capture -> verify -> proceed to longer clip).

2 / 3

Progressive Disclosure

For a simple, single-purpose skill under 50 lines with no bundle files, the content is well-organized into clear sections (setup, commands, notes) and appropriately concise without needing external references.

3 / 3

Total

11

/

12

Passed

Description

40%

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 a clear and distinctive niche (RTSP/ONVIF camera capture) but is too terse. It lacks a 'Use when...' clause and misses common user-facing trigger terms like 'IP camera', 'security camera', 'video stream', or 'snapshot' that would help Claude select this skill appropriately.

Suggestions

Add a 'Use when...' clause, e.g., 'Use when the user wants to capture snapshots, record clips, or stream video from IP cameras using RTSP or ONVIF protocols.'

Include common user-facing trigger terms such as 'IP camera', 'security camera', 'video stream', 'snapshot', 'recording', 'surveillance', and 'live feed'.

Expand the capability list to mention specific actions like saving to file, configuring stream parameters, or listing available cameras.

DimensionReasoningScore

Specificity

Names the domain (RTSP/ONVIF cameras) and two actions (capture frames, capture clips), but doesn't elaborate on additional capabilities like saving formats, scheduling, or configuration options.

2 / 3

Completeness

Describes what the skill does (capture frames/clips from cameras) but completely lacks a 'Use when...' clause or any explicit trigger guidance, which per the rubric should cap completeness at 2, and since the 'what' is also minimal, a score of 1 is appropriate.

1 / 3

Trigger Term Quality

Includes relevant technical keywords like 'RTSP', 'ONVIF', 'frames', 'clips', and 'cameras', but misses common user variations like 'IP camera', 'security camera', 'video stream', 'snapshot', 'recording', or 'surveillance'.

2 / 3

Distinctiveness Conflict Risk

RTSP/ONVIF camera frame/clip capture is a very specific niche that is unlikely to conflict with other skills; the protocol-specific terms clearly distinguish it.

3 / 3

Total

8

/

12

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

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

8

/

11

Passed

Repository
deepgram/dglabs-deepclaw
Reviewed

Table of Contents

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