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Quasi Coder
by
John Haugabook
· GitHub ↗
· v1.0.0
804
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0
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1
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Install in OpenClaw
/install quasi-coder
Description
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provid...
Usage Guidance
This skill appears internally consistent for converting shorthand into code, but it gives the agent wide latitude to rewrite or ‘fix’ collaborators’ descriptions. Before using: (1) prefer user-invoked use (don’t enable autonomous edits), (2) keep work under version control and review diffs the skill produces, (3) run tests and security scans on generated code, (4) avoid embedding secrets in shorthand, and (5) ask the agent to request clarifying questions rather than making large assumptions when intent is unclear.
Capability Analysis
Type: OpenClaw Skill
Name: quasi-coder
Version: 1.0.0
The `SKILL.md` file explicitly instructs the AI agent to execute 'non-code actions' such as 'run commands, create files, fetch data' based on user-provided shorthand input. This creates a severe prompt injection vulnerability, allowing an attacker to potentially achieve arbitrary command execution (RCE), file system manipulation, or data exfiltration by crafting malicious shorthand. The skill also instructs the agent to 'compensate for erroneous descriptions' and prioritize the 'goal over the method,' further increasing the risk of unintended harmful actions.
Capability Assessment
Purpose & Capability
The name/description (translate shorthand/quasi-code into production code) matches the SKILL.md content. The skill declares no binaries, env vars, or install steps — all consistent with an instruction-only code-generation helper.
Instruction Scope
SKILL.md gives the agent broad, explicit rules for interpreting and replacing shorthand (markers, '()=>', confidence thresholds for changing approaches). This is coherent for a quasi-coding role, but it also gives the agent substantial discretion to transform collaborators' input into production code; users should expect potentially large automated edits and verify changes. The instructions do not instruct reading unrelated system files, secrets, or contacting external endpoints.
Install Mechanism
No install spec and no code files — lowest-risk model: nothing is downloaded or written by an installer as part of skill installation.
Credentials
The skill requires no environment variables, credentials, or config paths. There is no disproportionate request for secrets or external service tokens.
Persistence & Privilege
always:false and default autonomous invocation are set (normal). The skill does not request permanent presence or modifications to other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quasi-coder - After installation, invoke the skill by name or use
/quasi-coder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
# Version 1.0.0
Add initial `quasi-coder` skill that tasks the agent as a 10x software engineer who is working with a colleague or collaborator on a project or goal. The collaborator gives the skilled `quasi-coder` the big picture or general idea, and the skilled `quasi-coder` applies expert knowledge in order to achieve project goals.
Metadata
Frequently Asked Questions
What is Quasi Coder?
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provid... It is an AI Agent Skill for Claude Code / OpenClaw, with 804 downloads so far.
How do I install Quasi Coder?
Run "/install quasi-coder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quasi Coder free?
Yes, Quasi Coder is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Quasi Coder support?
Quasi Coder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Quasi Coder?
It is built and maintained by John Haugabook (@jhauga); the current version is v1.0.0.
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