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agent-terminal

Terminal and TUI automation CLI for AI agents. Use when the user needs to create a terminal session, run a command in a terminal, automate an interactive CLI or TUI, wait for terminal output, capture a TUI screenshot, export a terminal recording, or test a CLI workflow with reviewable artifacts.

74

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A tight, highly actionable skill body with executable commands, a clear sequenced workflow, and clean section organization. The only weakness is redundant session-setup boilerplate repeated across multiple examples.

Suggestions

Factor the repeated AGENT_HOME/SESSION_ID setup lines into a single shared snippet and have each Common Pattern reference it, to reduce token repetition.

Add a brief error-recovery note for the doctor prerequisite check (e.g., what to do if a check fails) to strengthen the validation checkpoint.

Consider moving the per-command flag reference in 'Essential Commands' into a separate reference file once the skill grows, keeping SKILL.md as an overview.

DimensionReasoningScore

Conciseness

Body is lean and command-focused with no concept-explanation fluff, but the identical AGENT_HOME/SESSION_ID setup boilerplate repeats across four code blocks and could be tightened by factoring it out once.

2 / 3

Actionability

Fully executable, copy-paste-ready commands throughout Core Workflow, Essential Commands, and Common Patterns with real flags and session IDs.

3 / 3

Workflow Clarity

Clear 8-step numbered sequence with an explicit validation checkpoint ('doctor --json' prerequisites) and observable-state waits; the domain is not destructive/batch so no feedback loop is required.

3 / 3

Progressive Disclosure

Well-organized into clearly signaled sections (Core Workflow, Essential Commands, Common Patterns, Anti-Patterns) with no nested references and self-contained content; no bundle files exist to verify.

3 / 3

Total

11

/

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 strong, third-person description that names concrete capabilities and pairs them with an explicit 'Use when' trigger clause covering many natural user phrases. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'create a terminal session, run a command in a terminal, automate an interactive CLI or TUI, wait for terminal output, capture a TUI screenshot, export a terminal recording' — matching the multi-action anchor.

3 / 3

Completeness

States what ('Terminal and TUI automation CLI for AI agents') and an explicit 'Use when the user needs to...' trigger clause, answering both what and when.

3 / 3

Trigger Term Quality

Natural terms users would say ('terminal session', 'run a command', 'TUI', 'screenshot', 'recording') with good coverage; not jargon-laden.

3 / 3

Distinctiveness Conflict Risk

Clear niche (terminal/TUI automation) with distinct triggers unlikely to overlap with unrelated skills.

3 / 3

Total

12

/

12

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
coder/agent-tty
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.