Name: nightfallai
Rating: 56.8 (1 reviews)
Author: membranedev

nightfallai

Nightfall.ai integration. Manage data, records, and automate workflows. Use when the user wants to interact with Nightfall.ai data.

Quality

65%

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Quality

Content

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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 well-structured, mostly executable guide to driving Nightfall.ai through the Membrane CLI, with a clear connect-and-poll workflow. Its main weaknesses are moderate verbosity in the overview, a bare entity outline, duplicate action-list examples, and a dangling "Step 2" reference.

Suggestions

Trim the opening overview to one line of context Claude doesn't already have, and remove the filler "Use action names and parameters as needed" or replace it with a concrete example.

Resolve the dangling "skip to Step 2" references by labeling the "Searching for actions" section as Step 2, and consolidate the duplicate `action list` examples under "Searching for actions" and "Popular actions".

Flesh out the bare entity list (Finding, Detector, Integration, etc.) with one line each describing the action or query available, so the overview is actionable rather than a raw outline.

Dimension	Reasoning	Score
Conciseness	Most of the body is concrete commands, but the opening paragraph over-explains the product ("Think of it as a scanner and guard for sensitive info..."), the entity list ends with the filler line "Use action names and parameters as needed", and "Searching for actions" / "Popular actions" repeat the same action-list command, fitting the score-3 anchor.	3 / 5
Actionability	Provides copy-paste-ready commands for install, login, connection ensure, polling, action list/run, and proxy requests with a flag table, matching the score-4 anchor; minor gaps are the bare entity outline and placeholders like CONNECTION_ID.	4 / 5
Workflow Clarity	There is a clear install -> authenticate -> connect -> poll-until-ready -> search -> run sequence with a polling state machine (READY/CLIENT_ACTION_REQUIRED/CONFIGURATION_ERROR) acting as validation checkpoints, matching the score-4 anchor; the repeated "skip to Step 2" references a heading that does not exist, a minor gap.	4 / 5
Progressive Disclosure	No bundle files exist and the body is organized into well-labeled sections (Overview, Working with, Install, Authentication, Connecting, Searching, Popular actions, Proxy, Best practices), matching the score-4 anchor; the bare entity list under "Nightfall.ai Overview" is a minor organization gap.	4 / 5
	Total	15 / 20 Passed

Description

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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 third-person, brand-specific, and answers both what and when, but the capability verbs are generic and the trigger phrasing is narrow. It is a solid, functional description with room to be more concrete.

Suggestions

Replace generic verbs with concrete Nightfall.ai actions, e.g. "Discover and classify sensitive findings, manage detectors and integrations, and run saved searches or data exports."

Broaden the trigger clause with natural phrasings users actually say, e.g. "Use when the user mentions Nightfall, DLP scanning, sensitive-data detection, or wants to query Nightfall findings/detectors."

Tie the "when" to the entity types the skill exposes (findings, detectors, integrations) so it is clearly distinguishable from generic data-management skills.

Dimension	Reasoning	Score
Specificity	Names the domain ("Nightfall.ai integration") and a couple of actions ("Manage data, records, and automate workflows") but those actions are generic and not comprehensive, matching the score-3 anchor.	3 / 5
Completeness	Both a clear "what" ("Manage data, records, and automate workflows") and an explicit "when" ("Use when the user wants to interact with Nightfall.ai data") are present, though the "what" could be more concrete, matching the score-4 anchor.	4 / 5
Trigger Term Quality	Includes the natural brand trigger ("Nightfall.ai") and the phrase "interact with Nightfall.ai data", but offers only one trigger phrasing and no synonyms or common variations, fitting the score-3 anchor.	3 / 5
Distinctiveness Conflict Risk	The Nightfall.ai brand name gives it a clear niche with minimal conflict risk, but the generic "Manage data, records, and automate workflows" language could overlap with other integration skills, fitting the score-4 anchor.	4 / 5
	Total	14 / 20 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: membranedev/application-skills
Path: skills/nightfallai/SKILL.md
Commit: f484c82

Reviewed: 5 days ago

Table of Contents

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