deepline-feedback

Send feedback or bug reports to the Deepline team. Use when the user asks to report feedback or share a session, and proactively when a Deepline Play is disproportionately slow, appears stuck, or an ordinary outcome requires avoidable product steps.

Quality

90%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

92%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 highly actionable with executable commands, a well-sequenced validated workflow, and clean section organization. Only minor conciseness tightening of dense fallback shell snippets would improve it.

Dimension	Reasoning	Score
Conciseness	Mostly lean and assuming of Claude's competence with no padding about what feedback or transcripts are, but the long inline sandbox-fallback and transcript-bridging one-liners add density that could be slightly trimmed.	4 / 5
Actionability	Provides fully executable, copy-paste-ready bash commands for installation, sending feedback, and session transmission, with concrete flag guidance (--requested, --error-outcome) covering the common cases.	5 / 5
Workflow Clarity	The user-requested report is a clearly numbered 6-step sequence with an explicit confirmation checkpoint, outcome classification, and fallback transcript-resolution logic with retry, giving strong validation and error-recovery feedback loops.	5 / 5
Progressive Disclosure	No external bundle files are needed; the single SKILL.md is well-organized into clearly signaled sections (Quick Start, CLI resolution, decision table, proactive vs. user-requested paths) meeting the simple-skill exception for a 5.	5 / 5
	Total	19 / 20 Passed

Description

87%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 specific, trigger-rich, and clearly distinguishes itself with a Deepline-scoped niche. It fully covers what and when, with only minor room to broaden natural keyword synonyms.

Dimension	Reasoning	Score
Specificity	Names the domain ('Send feedback or bug reports to the Deepline team', 'share a session') plus several concrete proactive triggers ('disproportionately slow', 'appears stuck', 'avoidable product steps'), with only minor coverage gaps around what a report contains.	4 / 5
Completeness	Explicitly answers both what ('Send feedback or bug reports to the Deepline team') and when via a concrete 'Use when...' clause covering user-requested and proactive triggers.	5 / 5
Trigger Term Quality	Includes natural user-facing phrases ('report feedback', 'share a session', 'slow', 'appears stuck') that a user would plausibly say, though a few common synonyms (e.g. 'bug', 'issue', 'report a problem') are not exhaustively covered.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (Deepline feedback reporting) with distinctive triggers tied to a specific product, minimizing overlap with unrelated skills.	5 / 5
	Total	18 / 20 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: getaero-io/gtm-eng-skills
Path: skills/deepline-feedback/SKILL.md
Commit: 3bb8968

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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