Capture frames or clips from RTSP/ONVIF cameras.
74
63%
Does it follow best practices?
Impact
100%
4.00xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./openclaw/skills/camsnap/SKILL.mdQuality
Discovery
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', or 'video stream' that would help Claude select it appropriately.
Suggestions
Add a 'Use when...' clause, e.g., 'Use when the user needs to capture snapshots or video clips from IP cameras, or mentions RTSP streams, ONVIF devices, or security camera feeds.'
Include common synonyms and variations as trigger terms: 'IP camera', 'security camera', 'video stream', 'snapshot', 'surveillance camera', 'network camera'.
Expand the capability list with more specific actions, e.g., 'Capture still frames, record video clips, configure stream parameters, and connect to RTSP/ONVIF network cameras.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (RTSP/ONVIF cameras) and two actions (capture frames, capture clips), but doesn't elaborate on additional capabilities like configuration, streaming, saving formats, or other concrete operations. | 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 for when Claude should select this skill. Per rubric guidelines, missing 'Use when' caps completeness at 2, and the 'what' is also minimal, warranting a 1. | 1 / 3 |
Trigger Term Quality | Includes relevant technical keywords like 'RTSP', 'ONVIF', 'frames', and 'clips' that users familiar with IP cameras would use, but misses common variations like 'IP camera', 'security camera', 'video stream', 'snapshot', 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 (RTSP, ONVIF) clearly distinguish it. | 3 / 3 |
Total | 8 / 12 Passed |
Implementation
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 an explicit workflow sequence connecting discovery, setup, and capture steps, along with missing validation checkpoints (e.g., verifying camera connectivity before capturing). The brevity and specificity of commands are strong points.
Suggestions
Add a brief numbered workflow showing the recommended sequence: discover → add → doctor/probe → test snap → longer operations, with explicit validation at each step.
Include a verification step after adding a camera (e.g., `camsnap doctor --probe` to confirm connectivity before capturing).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Very lean and efficient. No unnecessary explanations of what RTSP/ONVIF cameras are or how ffmpeg works. Every line provides actionable information. | 3 / 3 |
Actionability | Provides specific, copy-paste ready commands for every operation: adding cameras, discovering, snapshotting, clipping, and motion watching with concrete flags and arguments. | 3 / 3 |
Workflow Clarity | The commands are listed but there's no explicit sequenced workflow (e.g., discover → add → test → snap). The note about preferring a short test capture hints at validation but doesn't formalize it as a checkpoint. For a tool involving streaming/recording operations, a clearer sequence would help. | 2 / 3 |
Progressive Disclosure | For a simple, under-50-line skill with a single tool focus, the content is well-organized into logical sections (setup, commands, notes) without needing external references. | 3 / 3 |
Total | 11 / 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.
Validation — 8 / 11 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 | 8 / 11 Passed | |
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Table of Contents
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