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aidlc-deployment-pipeline

Verisure App for GitHub Universe 2025 Badge

Install / Use

npx skills add wilmarques/ghuniverse-badge-verisure-app --skill aidlc-deployment-pipeline

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

44/100

Category

Automation

Supported Platforms

Universal

Our assessment of aidlc-deployment-pipeline

aidlc-deployment-pipeline scores 44/100 on our quality scale, 2817th of 2,891 Automation skills we index.

Its SKILL.md is 2.8 KB long, lightly structured (2 headings) and no code examples: a solid amount of guidance for an agent.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
26/30
Structure
5/20
Description
8/15
Adoption
0/20
Freshness
5/15

Maintenance, license and trust

  • We could not determine when the repository was last updated.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

aidlc-deployment-pipeline compared with similar skills

All 4 of these similar skills score higher than aidlc-deployment-pipeline; compare them before choosing.

SkillScoreStarsUpdatedFormat
aidlc-deployment-pipeline (this skill)by wilmarques440—SKILL.md
Agent-Reachby Panniantong10095.5k3d agoCLAUDE.md
Scraplingby D4Vinci10086.7ktodayMCP Server
rufloby ruvnet10074.3ktodayMCP Server
algorithmic-artby anthropics100177.9k18d agoSKILL.md

Frequently asked questions

How do I install aidlc-deployment-pipeline?
Run npx skills add wilmarques/ghuniverse-badge-verisure-app --skill aidlc-deployment-pipeline. The install tabs above show the steps for each supported agent.
Which AI agents does aidlc-deployment-pipeline work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is aidlc-deployment-pipeline safe to use?
It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is aidlc-deployment-pipeline still maintained?
We could not determine when the repository was last updated.

name: aidlc-deployment-pipeline generated-by: aidlc-runner-gen description: > Run the AI-DLC deployment-pipeline stage (operation phase) in isolation, without advancing the main workflow. Packages /aidlc --stage deployment-pipeline --single: the engine emits one run-stage directive for deployment-pipeline and its gate, the conductor runs it, then the single-stage run commits a synthetic-id pair and stops. The main workflow's Current Stage is never touched. argument-hint: "" user-invocable: true triggers: [user]

AI-DLC Stage Runner — deployment-pipeline

Run the deployment-pipeline stage on its own. This is opt-in packaging over /aidlc --stage deployment-pipeline --single; the same stage is always reachable via that flag without this skill.

Steps

  1. Ask the engine for the single-stage directive:

    bun .devin/tools/aidlc-orchestrate.ts next --stage deployment-pipeline --single
    

    The engine emits one run-stage directive for deployment-pipeline (carrying the lead agent, the resolved consumes/produces paths, the rules and sensors in context, and the conductor persona on the workflow's first run-stage). When the stage's rules do not fit beside it (most stages on GitHub Copilot, and any stage whose memory files have grown large), load-steering parts come first instead. For each part, apply directive.rules_content in array order and keep it as this stage's rules, and adopt conductor_persona when the part carries it. Then run bun .devin/tools/aidlc-orchestrate.ts continue <directive.receipt> (the receipt is the 8-character string printed at the top of the directive; copy it, never rebuild it) and act on the directive that comes back. Do not call report for a part or tell the user about it. Repeat until the run-stage arrives, show its stage_validity and change_notices once, and run the stage exactly as it describes; do not load the conductor persona by hand, the engine delivers it.

  2. Before acting on the directive, read .devin/aidlc-common/protocols/stage-protocol.md. Then read every .devin/aidlc-common/protocols/stage-protocol-<module>.md named by directive.protocol_modules. Load every listed module before reading the stage body or running its topology; skip only a module already loaded earlier in this session.

  3. When the stage's work is done, commit the single-stage record:

    bun .devin/tools/aidlc-orchestrate.ts report --single --stage deployment-pipeline --result completed
    

    This records a STAGE_STARTED / STAGE_COMPLETED pair under a synthetic workflow id and stops. It NEVER writes the main workflow's Current Stage — a single-stage run is isolated by design (the tool refuses to advance the main workflow).

Related Skills

View on GitHub
GitHub Stars0
CategoryAutomation
UpdatedNaNy ago
Forks0

Trust signals

68/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 medium1 low