Write Results
CheckedAutomatically generates clear, concise summaries of data analysis results in plain language reports.
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 braselog/researchassistant --skill write-results -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
braselog
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 braselog/researchassistant at 6e1e60a1d7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6e1e60a1d7
- Scanned
- 1 file, 22 lines
About this skill
What it does
The write-results skill allows an AI agent to format and present research findings in a structured manner. It can take raw data or text outputs from other skills and transform them into clear, concise summaries with appropriate headings and formatting. This improves readability and facilitates easier comprehension of complex information.
When to use it
- After using a data extraction skill – to structure the extracted information into a report.
- When synthesizing results from multiple research queries – to create a consolidated overview.
- To generate summaries for stakeholders – providing easily digestible insights from detailed analysis.
- Following an initial draft of text - to refine and format it for clarity and presentation.
Key capabilities
- Formats data into structured reports.
- Generates clear, concise summaries.
- Applies appropriate headings and formatting.
- Takes raw data or text as input.
Example prompts
- "Format the following research findings into a report with sections for Background, Methods, Results, and Conclusion: [paste results here]"
- "Summarize these notes from my brainstorming session: [paste notes here]"
- “Create a concise summary of this text, highlighting key takeaways: [paste text here]”
Tips & gotchas
The skill requires well-defined input data or text. Ensure the information provided is relatively structured for optimal formatting and summarization.