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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.

73

Quality

92%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

A well-structured, highly actionable skill body: executable commands throughout, a numbered core workflow with precheck and observation steps, and clean single-file organization. The main improvements are deduplicating the repeated session-creation lines and adding error-recovery guidance.

Suggestions

Deduplicate the repeated session-creation pipeline: state the AGENT_HOME/SESSION_ID bootstrap once and reference it from the Common Patterns recipes to cut redundant tokens (conciseness).

Add brief error-recovery guidance after the doctor and wait steps — e.g., what to inspect or do when 'doctor --json' reports missing prerequisites or a 'wait' times out — to close the feedback-loop gap (workflow_clarity).

Consider consolidating the Core Workflow example with the overlapping Essential Commands block, since both enumerate the same command set.

DimensionReasoningScore

Conciseness

The body is lean, assumes Claude's competence, and explains no known concepts, but the session-creation pipeline 'agent-terminal --home ... create --json -- /bin/bash | jq -r '.result.sessionId'' is repeated verbatim five times across sections — minor redundancy that could be trimmed, so anchor 4 rather than 5.

4 / 5

Actionability

Every example is fully executable copy-paste shell with consistent --json usage, covering lifecycle, interactive TUI driving, and artifact export — matching the 'fully executable, copy-paste ready, covers common cases' anchor; the '<interactive-command>' placeholder is justified flexibility, not pseudocode.

5 / 5

Workflow Clarity

The 8-step Core Workflow is clearly sequenced with an explicit 'doctor --json' precheck and wait-based observation checkpoints, but there is no error-recovery feedback loop (e.g., what to do when doctor fails or wait times out), fitting anchor 4 ('most checkpoints present; minor validation gaps') rather than 5.

4 / 5

Progressive Disclosure

No bundle files exist and the skill is a single well-sectioned file with no nested or buried references; all content earns its place and navigation is trivial, so it matches the clear, easy-to-navigate top anchor for a self-contained skill.

5 / 5

Total

18

/

20

Passed

Description

96%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.

A strong description: concrete capabilities, natural trigger phrasing with synonyms, and an explicit what-and-when structure in third person. The only weakness is mild overlap risk with general shell-execution skills from the 'run a command in a terminal' trigger.

DimensionReasoningScore

Specificity

The description 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', 'test a CLI workflow' — giving comprehensive coverage of the CLI's capabilities, matching the score-5 anchor rather than 4 (no coverage gaps).

5 / 5

Completeness

It explicitly answers both 'what' ('Terminal and TUI automation CLI for AI agents') and 'when' via an explicit 'Use when the user needs to...' clause with concrete trigger phrases, matching the score-5 anchor rather than 4 (the 'when' is fully explicit, not implicit).

5 / 5

Trigger Term Quality

Trigger phrases mirror natural user language with synonym coverage — 'interactive CLI or TUI', 'terminal recording', 'TUI screenshot', 'terminal session', 'wait for terminal output' — matching the comprehensive natural-terms anchor; no commonly-used phrasing is missing.

5 / 5

Distinctiveness Conflict Risk

The terminal/TUI automation niche is clear and mostly distinct, but 'run a command in a terminal' as a trigger creates minor overlap risk with generic shell-execution skills, fitting the 'mostly distinct; minor overlap risk' anchor better than the clear-niche anchor 5.

4 / 5

Total

19

/

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.

Validation — 15 / 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

Path

dogfood/20260327-public-skill/installed-skill/SKILL.md

Reviewed

Table of Contents

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