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livechat

LiveChat integration. Manage Chats, Reports. Use when the user wants to interact with LiveChat data.

56

Quality

64%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/livechat/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 content is highly actionable with executable Membrane CLI commands and a well-structured connection state machine that includes real validation checkpoints. Its main weaknesses are some unnecessary background explanation and a slightly fragmented workflow that references an undefined "Step 2."

Suggestions

Trim the introductory paragraph explaining what LiveChat is and who uses it; Claude already knows this and it adds tokens without adding guidance.

Number the end-to-end workflow explicitly (connect -> wait for READY -> discover actions -> run) so the dangling "Step 2" reference resolves, and fold the duplicate action-list snippets in "Popular actions" into the discovery section.

Provide one fully-resolved worked example (a real connection id and a sample action run with concrete input JSON) so the actionability reaches copy-paste readiness.

DimensionReasoningScore

Conciseness

The body is mostly efficient and command-driven, but includes unnecessary explanation Claude already knows ("LiveChat is a customer service platform that allows businesses to interact with customers in real-time via chat...") and padding ("This is the fastest way to get a connection"), matching the score-3 anchor of mostly efficient with some unnecessary explanation.

3 / 5

Actionability

It provides concrete, executable CLI commands throughout (membrane login, connection ensure, action run, request) plus a flags table, matching the score-4 anchor of mostly executable guidance with minor gaps; it stops short of 5 because common-case examples rely on placeholders like CONNECTION_ID without a fully copy-paste end-to-end worked example.

4 / 5

Workflow Clarity

The connection flow is a clear state machine with explicit checkpoints (poll until state is no longer BUILDING, READY skips ahead, CLIENT_ACTION_REQUIRED describes the action, CONFIGURATION_ERROR/SETUP_FAILED checks the error field), matching the score-4 anchor of a clear sequence with most checkpoints present; it does not reach 5 because the prose references an undefined "Step 2" and the action-discovery and run steps are not explicitly numbered into one sequence.

4 / 5

Progressive Disclosure

The single SKILL.md is well-organized with clear section headers and no bundle files to reference, matching the score-4 anchor of good structure with content appropriately placed; it does not reach 5 because there is no overview-pointing-to-references pattern and the Popular actions / Best practices sections overlap with earlier content.

4 / 5

Total

15

/

20

Passed

Description

61%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 is distinctive and includes an explicit "Use when" clause, but its action language ("Manage Chats, Reports") is generic and its trigger terms lack common synonyms users would naturally say. It is solid but could be sharper and more comprehensive.

Suggestions

Replace the generic verb "Manage" with concrete actions, e.g. "List and send chat messages, pull conversation reports, and manage canned responses."

Broaden trigger terms to include natural synonyms users say, such as "customer service", "support chats", "agents", or "canned responses".

Expand the "Use when" clause with several concrete trigger phrases (e.g. "Use when the user wants to read or reply to LiveChat chats, generate agent reports, or manage canned responses").

DimensionReasoningScore

Specificity

The phrase "Manage Chats, Reports" names the domain and two action areas, but "Manage" is generic and the actions are minimal rather than concrete, matching the score-2 anchor of naming the domain with minimal/generic actions; it does not reach 3 because it lacks truly concrete verbs like create/list/send.

2 / 5

Completeness

It answers both what ("Manage Chats, Reports") and when ("Use when the user wants to interact with LiveChat data"), but the trigger phrase is singular and could be more specific with multiple concrete triggers, matching the score-4 anchor rather than 5 which requires explicit concrete trigger phrases.

4 / 5

Trigger Term Quality

"LiveChat", "Chats", "Reports", and "interact with LiveChat data" provide some relevant keywords, but common variations a user would naturally say (customer service, support, agents, canned responses) are missing, matching the score-3 anchor of some relevant keywords missing common synonyms.

3 / 5

Distinctiveness Conflict Risk

"LiveChat" names a specific third-party application, giving the skill a clear niche with distinct triggers and minimal risk of firing for an unrelated skill, matching the score-5 anchor.

5 / 5

Total

14

/

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.

Validation15 / 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
membranedev/application-skills
Reviewed

Table of Contents

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