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kenoodl-synthesis

Cheat Code

by Kevin Hoff · GitHub ↗ · v1.0.11
darwinlinuxwindows ✓ Security Clean
1522
Downloads
2
Stars
7
Active Installs
12
Versions
Install in OpenClaw
/install cheat-code
Description
Makes your agent's talents limitless. Tell your agent what you want. Watch it deliver.
README (SKILL.md)

Cheat Code

Makes your agent's talents limitless.

Tell your agent what you want. Watch it deliver.

Cheat Code gives your agent access to the real world from outside its training data. You set it up once. Takes two minutes. Then your agent handles the rest.

Full setup and agent instructions: instructions.md

Bonus: the kenoodl app

Same account, same results, same breakthroughs — built for humans.

kenoodl knows when to deliver a breakthrough. The app is designed to do one thing well without taking up your time. Drop in your own thinking — ideas, questions, problems you're chewing on. You'll get back the move you couldn't see.

Better instructions to your agent start with clearer thinking from you.

Install the app at kenoodl.com.

Token scope

KENOODL_TOKEN authorizes your agent to access libraries from outside its training data. Agent sends a request to kenoodl.com. All requests are encrypted in transit. New structured data comes back. Context is processed and discarded — nothing is stored, nothing is used for training. Stateless by architecture.

Cheat Code is built by kenoodl — synthesis from outside your agents training data.

Usage Guidance
This skill is coherent for its stated purpose, but using it sends your agent's context to a third-party (kenoodl.com). Before installing: (1) Decide whether you are comfortable transmitting problem context to an external service; do not send secrets, credentials, or private data. (2) Verify the token generation process on kenoodl.com and store the knl_ token securely; treat it like any API secret and be prepared to revoke it. (3) Test with non-sensitive data first to confirm behavior. (4) If privacy guarantees ("nothing is stored") are important, obtain and review kenoodl's privacy/security docs or ask the vendor for an auditable statement — the skill's claims about statelessness are vendor assertions, not independently verified by this package.
Capability Analysis
Type: OpenClaw Skill Name: cheat-code Version: 1.0.11 The OpenClaw skill 'cheat-code' is designed to allow an AI agent to send its current context to an external service (kenoodl.com) for 'synthesis.' All files consistently describe this purpose and direct network activity to kenoodl.com. The `claw.json` explicitly declares 'network' permissions, which is necessary for its stated function. Crucially, the `instructions.md` file, which serves as the agent's primary instruction set, explicitly advises the agent: 'Do not include secrets, credentials, or API keys in the context you send. Strip them before calling.' This instruction actively mitigates the primary risk of sending agent context to an external service, demonstrating a lack of malicious intent. There is no evidence of unauthorized data exfiltration, persistence mechanisms, obfuscation, or prompt injection designed to subvert the agent for harmful purposes.
Capability Assessment
✓ Purpose & Capability
The name/description claim that the skill gives an agent access to external synthesis is matched by the SKILL.md and instructions.md: they require a kenoodl token and show explicit HTTP endpoints at kenoodl.com. No unrelated binaries, config paths, or unrelated environment variables are requested.
ℹ Instruction Scope
Instructions tell the agent exactly when and how to call kenoodl.com (POST /api/cli/drop, poll /status, etc.). That scope is appropriate for the stated purpose, but it does instruct the agent to send arbitrary 'context' (the problem and current thinking) to a third-party service — the doc warns to strip secrets, which is helpful, but the agent (and user) must ensure sensitive data is never included in those calls.
✓ Install Mechanism
This is an instruction-only skill with no install spec and no code files. Nothing is written to disk and no third-party packages or downloads are required, which minimizes installer risk.
✓ Credentials
The skill only requires a single credential (KENOODL_TOKEN) and declares it as the primaryEnv. That is proportionate to a skill whose runtime is an authenticated HTTP service call. No unrelated credentials or broad filesystem/config access are requested.
✓ Persistence & Privilege
always is false and the skill does not request permanent presence or elevated system privileges. It also does not modify other skills' configs. Autonomous invocation is allowed (platform default) but is not combined with other concerning privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cheat-code
  3. After installation, invoke the skill by name or use /cheat-code
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.11
Worked example: real synthesis call and response showing kenoodl breaking a corporate data strategy problem
v1.0.10
Added tags
v1.0.9
- Renamed skill from "skill-hunter" to "cheat-code" with updated branding and description. - Updated summary and documentation to focus on enabling agents to access new capabilities outside their original training data. - Added requirement for KENOODL_TOKEN environment variable for operation. - Revised setup and usage instructions, including bonus information about the kenoodl app and enhanced security details.
v1.0.8
Update
v1.0.7
- Added an example in the "Vet" section showing how to inspect the Cheat Code skill remotely. - Minor clarification to demonstrate inspecting another skill before installation. - No changes to security or functionality; documentation update only.
v1.0.6
- Rebranded from "cheat-code" to "skill-hunter" with a new focus on skill discovery and security. - Added semantic search across 10,000+ ClawHub skills with plain English queries. - Introduced three core modes: Hunt (search), Scout (browse), and Vet (verify skill safety). - Enhanced security: no credentials or env vars required, no external dependencies, all activity limited to ClawHub public APIs.
v1.0.5
Updated headline copy, added bonus section for kenoodl app, rate limits aligned: 10/day with 1hr cooldown
v1.0.4
Fix metadata structure: move env to requires.env, add primaryEnv. Matches ClawHub spec for credential declaration.
v1.0.3
Add encrypted transit declaration to token scope. Add redaction instructions for agent — strip secrets before calling.
v1.0.2
Add token scope declaration to SKILL.md. Declares what KENOODL_TOKEN authorizes, where data goes, what comes back, and privacy architecture.
v1.0.1
Security review fixes: token handling, README accuracy, context scope. Tags synced.
v1.0.0
Ahead of the rest. Makes your agent limitless. Tell your agent what you want. Watch it deliver.
Metadata
Slug cheat-code
Version 1.0.11
License —
All-time Installs 8
Active Installs 7
Total Versions 12
Frequently Asked Questions

What is Cheat Code?

Makes your agent's talents limitless. Tell your agent what you want. Watch it deliver. It is an AI Agent Skill for Claude Code / OpenClaw, with 1522 downloads so far.

How do I install Cheat Code?

Run "/install cheat-code" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cheat Code free?

Yes, Cheat Code is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Cheat Code support?

Cheat Code is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, windows).

Who created Cheat Code?

It is built and maintained by Kevin Hoff (@kenoodl-synthesis); the current version is v1.0.11.

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