Relay Mutations Patterns
CheckedIdentifies recurring mutation patterns in data streams to predict future shifts and inform strategic adjustments.
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 thebushidocollective/han --skill relay-mutations-patterns -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
thebushidocollective
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 thebushidocollective/han at 19caa51d5f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 19caa51d5f
- Scanned
- 1 file, 802 lines
About this skill
What it does
This skill identifies and extracts mutation patterns from relayed data. It analyzes incoming information streams, detects recurring changes or transformations (mutations), and organizes them into recognizable patterns. This allows AI agents to understand underlying processes and predict future states based on observed trends within the relayed data.
When to use it
- Anomaly Detection: Identify unusual shifts in a system's behavior by recognizing deviations from established mutation patterns.
- Predictive Maintenance: Analyze sensor data streams (e.g., machine performance metrics) to predict equipment failures based on recurring degradation patterns.
- Financial Trend Analysis: Detect emerging trends and anomalies in market data by analyzing relayed financial information.
- Log File Analysis: Extract meaningful insights from large volumes of log data by identifying common error or event sequences.
Key capabilities
- Mutation Pattern Identification
- Relayed Data Analysis
- Trend Recognition
- Anomaly Detection
Example prompts
- "Analyze the relayed sensor data and identify any recurring mutation patterns related to temperature fluctuations."
- "Detect anomalies in this stream of financial transactions by comparing them against established pattern baselines."
- “What are the most frequent sequences of events appearing in these log files?”
Tips & gotchas
The accuracy of the skill depends heavily on the quality and consistency of the relayed data. Ensure that the input data is properly formatted and contains sufficient information for meaningful pattern recognition.