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Peripheral Vision
by
John DeVere Cooley
· GitHub ↗
· v1.0.0
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Install in OpenClaw
/install peripheral-vision
Description
Monitors adjacent systems, upstream dependencies, and downstream consumers for changes that could affect your current work — before they break it. Like biolo...
Usage Guidance
This skill describes broad, continuous monitoring of repo, schemas, CI/CD, environment, and upstream services but declares no credentials or concrete scope. Before installing, ask the publisher (or require in the manifest) for: 1) an explicit list of files/paths/APIs the skill will read; 2) any environment variables or external tokens it needs; 3) how it determines 'files currently open' (editor integration or heuristic); 4) whether it will contact external endpoints and which ones; and 5) whether you can restrict it to read-only access and limit scan frequency. If you can't get clear answers, avoid giving this skill tokens or broad agent permissions and consider running it manually in a limited test workspace first.
Capability Analysis
Type: OpenClaw Skill
Name: peripheral-vision
Version: 1.0.0
The skill bundle describes a 'Peripheral Vision' tool designed to monitor local code, dependencies, and environment for changes. Its stated purpose involves reading local files (code, git history, configuration, schema definitions) and environment variables to detect relevant shifts. Crucially, the documentation explicitly states 'Zero external dependencies. Zero API calls. Pure git and static analysis,' which significantly mitigates risks of data exfiltration or unauthorized remote actions. There is no evidence of malicious intent, prompt injection against the agent, or any high-risk behaviors beyond what is necessary for its stated, legitimate function.
Capability Assessment
Purpose & Capability
The description (monitoring upstream/downstream code, schemas, env, CI) aligns with an agent that can read the repo and git history. However, the skill's stated capabilities also imply access to external services, CI systems, databases, and environment/configuration; none of those accesses are declared (no required env vars, no config paths). That mismatch is important: either the skill assumes broad implicit access from the agent/platform, or it omits needed credentials and scope descriptions.
Instruction Scope
The SKILL.md directs the agent to identify 'files currently open/modified', trace direct and transitive dependencies, scan Git commits by others, detect schema migrations, inspect CI/CD and Docker configs, and detect changes in environment variables and upstream services. These instructions are open-ended (e.g., 'blind spots', 'continuously scans') and would require reading arbitrary repo files, CI systems, and possibly environment/runtime state. The instructions do not enumerate exactly which files/paths to read, which APIs to call, or what credentials (if any) to use, granting the agent broad discretion to access data outside a narrowly scoped need.
Install Mechanism
Instruction-only skill with no install steps and no code files. That minimizes disk-level risk — nothing is downloaded or written by an installer. All runtime behavior would be the agent following the prose in SKILL.md.
Credentials
The skill references inspecting environment variables, CI/CD, deployment/infrastructure, and upstream services, but the registry metadata declares no required environment variables, secrets, or config paths. Monitoring upstream services or CI typically needs tokens or access credentials; the absence of declared credentials is a disproportionate gap. This either means the skill expects the agent to have ambient access (not disclosed) or it will attempt to read unspecified environment variables and configs without the user being warned.
Persistence & Privilege
always is false (normal) and model-invocation is enabled (default). The skill's prose talks about 'continuous' and 'situational awareness', but there is no install or background daemon described. Autonomous invocation could allow the agent to run this skill repeatedly; that's expected platform behavior but increases impact if the skill is granted broad workspace/credential access. There is no indication the skill modifies other skills or agent-wide configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install peripheral-vision - After installation, invoke the skill by name or use
/peripheral-vision - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Peripheral Vision?
Monitors adjacent systems, upstream dependencies, and downstream consumers for changes that could affect your current work — before they break it. Like biolo... It is an AI Agent Skill for Claude Code / OpenClaw, with 304 downloads so far.
How do I install Peripheral Vision?
Run "/install peripheral-vision" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Peripheral Vision free?
Yes, Peripheral Vision is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Peripheral Vision support?
Peripheral Vision is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Peripheral Vision?
It is built and maintained by John DeVere Cooley (@jcools1977); the current version is v1.0.0.
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