creating-replay-vision-scanners

Guides agents through creating and safely sizing a Replay Vision scanner: choosing the scanner type (monitor/classifier/scorer/summarizer), shaping the RecordingsQuery that selects sessions, and — crucially — estimating observation volume and checking the org's monthly quota before creating, so a broad scanner doesn't exhaust the budget on its first scheduled sweep. TRIGGER when: user asks to create, set up, or configure a Replay Vision scanner, OR when you are about to call vision-scanners-create, OR when widening an existing scanner's query or sampling_rate via vision-scanners-update. DO NOT TRIGGER when: only reading scanners or observations, deleting a scanner, or running an existing scanner against a single session on demand (vision-scanners-scan-session).

Quality

100%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

100%

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

The content is executable, well-sequenced with validation checkpoints, and tightly scoped to the quota-safety rationale that motivates the skill. Organization is clean with no unnecessary external references.

Dimension	Reasoning	Score
Conciseness	The body is lean: it skips generic tutorial prose, uses a compact table for config shapes, and every section earns its place by conveying non-obvious operational detail.	3 / 3
Actionability	Names exact tool calls, provides per-type scanner_config shapes, and includes a complete copy-paste-ready JSON create example with concrete decision branches.	3 / 3
Workflow Clarity	A clear four-step sequence with an explicit validation gut-check in Step 3 (estimate + check budget + decide) and a mandated re-check when widening scope during updates.	3 / 3
Progressive Disclosure	No bundle files exist; the single self-contained SKILL.md is organized into well-signaled sections with no nested reference chains, fitting a reference-free skill.	3 / 3
	Total	12 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A high-quality description: it states concrete capabilities in third person, gives explicit positive and negative triggers, and occupies a clear niche. No over-claims or fluff.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — choosing a scanner type across four named types, shaping the RecordingsQuery, and estimating volume/checking quota — rather than vague language.	3 / 3
Completeness	Explicitly answers both what the skill does and when to use it via dedicated TRIGGER and DO NOT TRIGGER clauses.	3 / 3
Trigger Term Quality	Provides natural user-language triggers ('create, set up, or configure a Replay Vision scanner') alongside tool-call triggers and explicit DO NOT TRIGGER conditions, giving broad coverage.	3 / 3
Distinctiveness Conflict Risk	Scoped to a specific product ('Replay Vision scanner') with named tools and negative triggers, making conflict with other skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: PostHog/posthog
Path: products/replay_vision/skills/creating-replay-vision-scanners/SKILL.md
Commit: 9d80cc9

Reviewed: about 13 hours ago

Table of Contents

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