Effect Foundations
CheckedEffect Foundations builds robust, foundational effects for your narrative, streamlining complex interactions and enhancing storytelling depth.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add mepuka/effect-ontology --skill effect-foundations -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
mepuka
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned mepuka/effect-ontology at c148102d57.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c148102d57
- Scanned
- 1 file, 152 lines
About this skill
What it does
This skill provides foundational knowledge and structure related to effects, which are actions or changes that occur as a result of an event. It allows AI agents to reason about cause and effect relationships, understand how actions impact the world, and plan sequences of actions to achieve desired outcomes. The skill focuses on defining and categorizing different types of effects for more structured reasoning.
When to use it
- Planning complex tasks: When an agent needs to perform a multi-step task where each action has consequences that influence subsequent steps.
- Simulating scenarios: To predict the outcomes of actions in a virtual environment or game.
- Understanding narratives: To analyze stories and identify cause-and-effect relationships between events.
- Debugging agent behavior: When an agent is not behaving as expected, this skill can help understand the chain of effects leading to that behavior.
Key capabilities
- Effect categorization
- Cause-and-effect reasoning
- Action consequence prediction
- Structured effect representation
- Effect ontology definition
Example prompts
- "Describe the potential effects of opening a door."
- "What are the possible consequences if I drop this object?"
- "Categorize these events based on their causal relationships: [list of events]"
Tips & gotchas
This skill requires some understanding of logical reasoning and potentially domain-specific knowledge to effectively interpret and apply its results. The accuracy of predictions depends heavily on the completeness of the effect ontology used by the agent.