Creator · kevmoo
Last updated · Sep 4, 2026
|-
Sandbox only
Install targets
Codex install prompt
Install the "dart-long-lines" agent skill from https://github.com/kevmoo/dash_skills/tree/main/skills/dart-long-lines. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: |- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"kevmoo-dart-long-lines","task":"Install dart-long-lines","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add kevmoo/dash_skills --skill dart-long-lines
Maintenance
fresh
9d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
143
68/100 Quality · 75/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
143 GitHub stars
Repo activity
143 stars, 16 forks
Maintenance
9d since push
License
Apache-2.0
Install
npx skills add kevmoo/dash_skills --skill dart-long-lines
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add kevmoo/dash_skills --skill dart-long-linesDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20dart-long-lines%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20dart-long-lines%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kevmoo-dart-long-lines/install
Agent should check
Copy prompt
Task: Use dart-long-lines in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20dart-long-lines%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kevmoo-dart-long-lines/install
Install command: npx skills add kevmoo/dash_skills --skill dart-long-lines
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/kevmoo-dart-long-lines/install
LLM text format
/api/skills/kevmoo-dart-long-lines/install?format=text
Find alternatives
/api/skills/search?q=dart-long-lines&limit=3
Agent prompt
Use dart-long-lines for this task. Review https://www.openagentskill.com/api/skills/kevmoo-dart-long-lines/install, then install with: npx skills add kevmoo/dash_skills --skill dart-long-linesRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/kevmoo-dart-long-lines
LLM text
/api/registry/manifest/kevmoo-dart-long-lines?format=text
Install alias
/api/registry/install/kevmoo-dart-long-lines
Recommend
/api/registry/recommend?task=Use%20dart-long-lines%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Browser automation
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO143 GitHub stars
Stars/forks activity
CHECK143 stars, 16 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
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--- name: dart-long-lines description: |- Guidelines for handling long lines in Dart code to adhere to the 80-column rule. The `lines_longer_than_80_chars` lint. license: Apache-2.0 key_features: - 80-column rule compliance - Line length refactoring - Linter rule enforcement ---
# Dart Long Lines
## 1. When to use this skill
Use this skill when: - Writing Dart code that might exceed the 80-column limit. - Refactoring code to comply with the `lines_longer_than_80_chars` lint. Reference: https://dart.dev/tools/linter-rules/lines_longer_than_80_chars
## Discovery
To find lines that exceed the limit:
### Automated Analysis The most reliable way to find long lines is to use the Dart analyzer: - **Command**: `dart analyze` - **Lint**: `lines_longer_than_80_chars`
### Manual Search To search for long lines using regex: - **Regex**: `^.{81,}$` (Matches any line with 81 or more characters).
## 2. Guidelines
### Format First Always run `dart format` before manually breaking long lines. The formatter often automatically fixes long lines, especially in generated code, and applies standard Dart styling rules.
### Code Comments Break long code comments (`//`) cleanly at word boundaries to ensure lines do not exceed 80 characters. Maintain tight formatting and avoid unnecessary vertical space.
### Documentation Comments (`///`) - Apply the same line-breaking rules as for code comments. - Avoid breaking markdown link blocks like `[name]` or `[text](http://example.com)` across lines. Place them on their own line if they exceed the limit. - Start doc comments with a single summary sentence, followed by a blank line before the rest of the comment. It is okay to break this first sentence across multiple lines to fit the 80-column limit. - Avoid unresolved references or dangling sentences.
### Long Strings - Use adjacent string literals (e.g., `'part 1 ' 'part 2'`) to break long strings. Break at word boundaries. - If a single-line string contains newline characters (`\n`) or if there are consecutive `print` statements, consider migrating to a multi-line string literal (`'''`).
### Format and Analyze After Changes - Run `dart format` and `dart analyze` after making changes. - Be aware that splitting strings may trigger new lints (e.g., `prefer_single_quotes` if a double-quoted string is split into parts that no longer contain single quotes).
## 3. Examples
### Documentation Comment Link **Avoid:** ```dart /// This is a long doc comment that contains a link to [a very long /// URL](http://example.com/very/long/url/that/exceeds/eighty/chars). ```
**Prefer:** ```dart /// This is a long doc comment that contains a link to [a very long URL][ref]. /// /// [ref]: http://example.com/very/long/url/that/exceeds/eighty/chars ```
### Adjacent String Literals **Prefer:** ```dart final longString = 'This is a very long string that needs to be broken ' 'across multiple lines to stay under the limit.'; ```
### Multi-line String Migration **Avoid:** ```dart print('This is line 1\nThis is line 2 that is also quite long\nThis is line 3 which makes the whole thing exceed eighty characters'); ```
**Prefer:** ```dart print('''This is line 1 This is line 2 that is also quite long This is line 3 which makes the whole thing exceed eighty characters'''); ```
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for dart-long-lines, ready for a manual X post.
Before you hand an agent a repeatable workflow, give it a repeatable starting point. dart-long-lines: |- 143 stars https://www.openagentskill.com/skills/kevmoo-dart-long-lines?ref=x
Listing + install path for dart-long-lines: https://www.openagentskill.com/skills/kevmoo-dart-long-lines?ref=x Install: npx skills add kevmoo/dash_skills --skill dart-long-lines
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to kevmoo but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/kevmoo-dart-long-lines?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kevmoo-dart-long-lines?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kevmoo-dart-long-lines/audit)
[](https://www.openagentskill.com/skills/kevmoo-dart-long-lines?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kevmoo
@kevmoo
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Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness