camera-provider-tapo

TP-Link Tapo camera integration — RTSP streaming and ONVIF

Quality

61%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/camera-providers/tapo/SKILL.md

Quality

Content

65%

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

The body is admirably concise but too thin: it covers only environment setup and omits executable usage guidance and any navigation to the bundle scripts. Adding a short usage/workflow section and fixing missing referenced scripts would materially improve it.

Suggestions

Add a usage section with an executable example, e.g. `python scripts/feed.py --host <ip> --username <user> --password <pass>`, plus the RTSP URL format.

Add navigation to the bundle scripts so the body points to the implementation rather than only describing setup.

Provide either the missing scripts/discover.py and scripts/stream.py referenced in frontmatter capabilities, or remove those capability entries.

Dimension	Reasoning	Score
Conciseness	The body is extremely lean — one descriptive line and a two-command setup block — with no padded explanation of concepts Claude already knows; every token earns its place.	3 / 3
Actionability	The setup commands are concrete and executable, but the body provides no usage examples (e.g. how to run the feed/discover/stream scripts or the RTSP URL format), leaving the actual task guidance incomplete.	2 / 3
Workflow Clarity	A clear two-step setup sequence exists (venv then pip install), but there is no described operational workflow for camera operations and no validation checkpoints, so the sequence is present but incomplete.	2 / 3
Progressive Disclosure	The body is sectioned under a heading and a Setup section, but it does not signal or navigate to the bundle scripts (scripts/feed.py, discover.py, stream.py) where the real implementation lives, and two referenced scripts are not present in the bundle.	2 / 3
	Total	9 / 12 Passed

Description

57%

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 distinctive with a clear niche, but it lacks an explicit 'Use when...' trigger clause and only partially enumerates concrete actions. Adding trigger guidance would lift the completeness and trigger-term dimensions.

Suggestions

Add an explicit trigger clause, e.g. 'Use when working with TP-Link Tapo cameras, RTSP streams, ONVIF, or live camera feeds.'

Enumerate concrete actions beyond 'integration', such as 'stream live RTSP feeds, discover cameras on the network, capture motion-triggered clips.'

Include common user phrasings like 'security camera', 'live stream', or 'camera feed' to broaden trigger-term coverage.

Dimension	Reasoning	Score
Specificity	It names the domain ('TP-Link Tapo camera') and concrete actions ('RTSP streaming') but 'integration' is generic and 'ONVIF' is a protocol rather than an action, so it is not a comprehensive list of specific actions.	2 / 3
Completeness	It states what the skill does (camera integration via RTSP/ONVIF) but has no 'Use when...' clause or equivalent explicit trigger guidance, capping completeness at 2.	2 / 3
Trigger Term Quality	It includes relevant natural terms a user would say ('Tapo camera', 'RTSP') but misses common variations like 'live stream', 'security camera', 'camera feed', or 'webcam'.	2 / 3
Distinctiveness Conflict Risk	The TP-Link Tapo brand niche with RTSP/ONVIF triggers is clearly distinguishable and unlikely to fire for unrelated skills.	3 / 3
	Total	9 / 12 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: SharpAI/DeepCamera
Path: skills/camera-providers/tapo/SKILL.md
Commit: 2264fcb

Reviewed: 1 day ago

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