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Parallax
by
John DeVere Cooley
· GitHub ↗
· v1.0.0
279
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Install in OpenClaw
/install parallax
Description
Views every decision from five simultaneous stakeholder perspectives — the user who touches it, the developer who maintains it, the operator who deploys it,...
Usage Guidance
This skill appears coherent and low-risk because it is instruction-only and declares no credentials or installs. Before installing, open and read the full SKILL.md (the provided excerpt was truncated) to confirm it does not: (1) instruct the agent to read system files or shell history, (2) request or reference environment variables or secret tokens, or (3) direct data to external endpoints. If you plan to let agents call skills autonomously, restrict which tools the agent can use (file access, shell, network) or run it in a sandboxed environment so the skill cannot access secrets or external systems without your explicit approval.
Capability Analysis
Type: OpenClaw Skill
Name: parallax
Version: 1.0.0
The OpenClaw skill bundle 'parallax' is benign. It provides a conceptual framework for multi-perspective decision-making, instructing the AI agent on how to analyze proposed changes from five different viewpoints (User, Maintainer, Operator, Adversary, Sponsor). The `SKILL.md` explicitly states 'Zero external dependencies. Zero API calls.' and `requires_api: false` in its metadata, confirming it does not perform any network requests, file system operations beyond its own context, or execute external commands. All instructions are for the AI's cognitive process and output formatting, with no evidence of prompt injection for malicious purposes, data exfiltration, or unauthorized actions.
Capability Assessment
Purpose & Capability
Name and description describe a decision-intelligence aid; the skill is instruction-only with no required binaries, env vars, or config paths, which is proportionate and expected for this purpose.
Instruction Scope
The visible SKILL.md contains step-by-step analytic guidance for five stakeholder lenses and operates on an input 'proposed change' — it does not, in the shown portion, instruct the agent to read files, environment variables, or send data to external endpoints. However the provided snippet is truncated, so the full instruction file should be reviewed to ensure there are no hidden steps that request system state, credentials, or network exfiltration.
Install Mechanism
No install specification and no code files — lowest-risk setup; nothing will be written to disk or externally downloaded by the skill itself.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths; these are appropriate for a purely advisory/instructional skill.
Persistence & Privilege
always is false and the skill is user-invocable; model invocation is allowed (the platform default). There is no indication the skill requests persistent installation or modifications to other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install parallax - After installation, invoke the skill by name or use
/parallax - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — Multi-stakeholder perspective engine for architecture decisions
Metadata
Frequently Asked Questions
What is Parallax?
Views every decision from five simultaneous stakeholder perspectives — the user who touches it, the developer who maintains it, the operator who deploys it,... It is an AI Agent Skill for Claude Code / OpenClaw, with 279 downloads so far.
How do I install Parallax?
Run "/install parallax" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Parallax free?
Yes, Parallax is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Parallax support?
Parallax is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Parallax?
It is built and maintained by John DeVere Cooley (@jcools1977); the current version is v1.0.0.
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