Dev Log
ListedGenerates concise, formatted development logs for projects, streamlining documentation and tracking progress effectively.
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 dimples-wiki/agent-skills --skill dev-log -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
dimple-smile
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 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.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: abc.loca.lt, ce.judge0.com.
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.
Hosts contacted
registry.npmjs.orgpackage registryabc.loca.ltundeclaredce.judge0.comundeclaredWhat it found (3 of 7)
- skills/dev-log/test/e2e.mjs:136contacts abc.loca.lt
const code = genOut(['--lang', 'js', '--url', 'https://abc.loca.lt']); - skills/dev-log/test/e2e.mjs:137contacts abc.loca.lt
assert.ok(code.includes('https://abc.loca.lt')); - skills/dev-log/test/gen.node-test.mjs:65contacts abc.loca.lt
const code = gen(['--lang', 'js', '--url', 'https://abc.loca.lt']);
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 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 dimple-smile/agent-skills at c862859f5f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c862859f5f
- Manifest
- skills/dev-log/SKILL.md
- Scanned
- 19 files, 2,480 lines
About this skill
What it does
The dev-log skill allows an AI agent to automatically generate and maintain a development log. It captures key events during software development, such as code changes, bug fixes, and feature implementations, providing a structured record of the project's evolution. This facilitates better tracking, collaboration, and understanding of the development process.
When to use it
- Tracking Project Progress: Use
dev-logwhen you need a detailed history of what has been done on a software project. - Debugging & Root Cause Analysis: Leverage the log to quickly identify when specific code changes were introduced, aiding in debugging efforts.
- Collaboration and Knowledge Sharing: Share the generated development logs with team members for improved communication and onboarding.
- Automated Reporting: Generate reports based on the dev-log data to track key metrics and milestones.
Key capabilities
- Automatic log generation
- Code change tracking
- Bug fix recording
- Feature implementation logging
Example prompts
- "Start a development log for my new Python project."
- "Add an entry to the dev-log describing the recent refactoring of the authentication module."
- “Generate a summary report from the last week’s dev-log entries.”
Tips & gotchas
The dev-log skill requires access to your codebase and commit history. Ensure the AI agent has appropriate permissions to accurately capture development events.