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gateway-setup

Set up a persistent AI agent gateway on macOS with Redis event bridge, heartbeat monitoring, and multi-session routing. Interactive Q&A to match your intent — from minimal (Redis + extension) to full (embedded daemon + Telegram + watchdog). Use when: 'set up a gateway', 'I want my agent always on', 'event bridge', 'heartbeat monitoring', 'agent notifications', or any request to make an AI agent persistent and reachable.

68

Quality

84%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

68%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 body is commendably lean and policy-rich, naming specific artifacts and stating hard constraints, but it reads as a directive/policy document rather than executable setup instructions. Adding concrete commands and an explicitly numbered, checkpointed sequence would lift actionability and workflow clarity.

Suggestions

Add concrete, executable commands for the key steps (e.g., the repository installer invocation, readiness/health-check command, and how to read the `gateway` artifact) so guidance is copy-paste ready rather than abstract.

Restructure the directives into an explicitly numbered sequence with labeled validation checkpoints (read config → scope → install → verify readiness → report), including a fix-and-retry loop for failed health checks given the destructive/installation nature of the task.

Break the prose into short section headers (e.g., 'Pre-checks', 'Install', 'Verify', 'Report') to improve navigability and let the validation/reporting steps stand out.

DimensionReasoningScore

Conciseness

Lean directive prose with no padding and no explaining of concepts Claude already knows; every sentence issues a constraint or instruction, so each token earns its place.

5 / 5

Actionability

Names concrete artifacts ('Read `gateway`', 'the current repository installer', 'channel adapters') and clear constraints, but provides no executable commands or specific steps — it is high-level direction rather than copy-paste-ready guidance.

3 / 5

Workflow Clarity

An implicit sequence exists (read config → infer scope → install → discover endpoint → verify → report) with a validation checkpoint ('Verify readiness, event correlation, and supported health checks'), but steps are not explicitly numbered and checkpoints are implicit rather than signposted.

3 / 5

Progressive Disclosure

The body is a short, appropriately scoped overview with no nested references and the only bundle files (logo assets) correctly kept out of the prose; the minor gap is the absence of section headers to organize the directives.

4 / 5

Total

15

/

20

Passed

Description

100%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 exemplary: concrete capabilities, a rich set of natural trigger phrases, explicit what-and-when guidance, and a distinctive niche. It is concise despite its breadth and uses third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'Redis event bridge, heartbeat monitoring, and multi-session routing' plus scoped tiers 'minimal (Redis + extension) to full (embedded daemon + Telegram + watchdog)' — giving comprehensive coverage of the setup domain.

5 / 5

Completeness

Explicitly answers both 'what' (set up a persistent AI agent gateway on macOS with named components) and 'when' via a concrete 'Use when:' clause with multiple trigger phrases.

5 / 5

Trigger Term Quality

Natural trigger phrases users would actually say — 'set up a gateway', 'I want my agent always on', 'agent notifications' — alongside synonyms like 'persistent' and 'reachable', giving comprehensive coverage.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (persistent AI agent gateway with Redis/Telegram/watchdog) with distinct triggers, making overlap with unrelated skills minimal.

5 / 5

Total

20

/

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
joelhooks/joelclaw
Reviewed

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