Wrap Up

Name: Wrap Up
Author: braselog

Listed

braselog·vlatest·writing

Summarizes conversations and creates concise follow-up actions, streamlining workflows and ensuring nothing falls through the cracks.

Repository

Install on your platform

This skill no longer installs under the name wrap-up. SKILL.md has no name/description frontmatter, so the skills CLI skips it.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-09-29. We don't show a command we know will fail.

Repository install instructions

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 2 Oct 2026

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

Declares what it does: failed
SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.
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
Manifest: .github/skills/wrap-up/SKILL.md
Scanned: 2 files, 187 lines

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

This skill provides a concise summary of long documents or conversations. It identifies key points and delivers them in a structured, easily digestible format. The agent can use this to synthesize information from research papers, meeting transcripts, or lengthy email chains.

When to use it

Summarize a 20-page research paper for quick understanding.
Extract action items from a long meeting transcript.
Condense a series of customer support emails into a brief overview.
Create a short report based on multiple documents.

Key capabilities

Document summarization
Conversation summarization
Key point identification
Structured output

Example prompts

"Summarize this research paper: [paste text of paper]"
"Can you give me the key takeaways from this meeting transcript?"
"Provide a brief overview of these customer support emails."

Tips & gotchas

The quality of the summary depends on the clarity and structure of the input document. Very poorly written or disorganized content may result in a less effective wrap-up.