Cc History
CheckedThis skill retrieves historical context related to a given CC (content creator) for deeper understanding and analysis.
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 akiselev/qt-llm-template --skill cc-history -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
akiselev
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 akiselev/qt-llm-template at 6855e82e0c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6855e82e0c
- Scanned
- 3 files, 320 lines
About this skill
What it does
This skill provides access to historical data and context. It can retrieve information about past events, figures, or trends based on user queries. The skill is designed to augment AI agents with a deeper understanding of history, enabling more informed responses and actions.
When to use it
- Researching Historical Events: When an agent needs background information for a project or conversation about a specific historical event (e.g., the French Revolution).
- Understanding Cultural Context: To provide agents with insights into the cultural norms, values, and beliefs of people from different time periods.
- Fact-Checking Historical Claims: To verify the accuracy of statements related to past events or figures.
- Generating Historical Narratives: When an agent needs to create stories, scripts, or other content set in a historical context.
Key capabilities
- Historical data retrieval
- Contextual understanding of past events
- Fact verification relating to history
- Generation of narratives based on historical information
Example prompts
- "Tell me about the causes of World War I."
- "What was life like for children in Victorian England?"
- "Verify if Abraham Lincoln signed the Emancipation Proclamation."
Tips & gotchas
The accuracy of retrieved information depends on the underlying data sources. Always cross-reference with other reliable resources when dealing with historical details.